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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Association between Myocardial Infarction and Periodontitis: A Meta-Analysis of Case-Control Studies</title><author><name sortKey="Shi, Quan" sort="Shi, Quan" uniqKey="Shi Q" first="Quan" last="Shi">Quan Shi</name></author><author><name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name></author><author><name sortKey="Huo, Na" sort="Huo, Na" uniqKey="Huo N" first="Na" last="Huo">Na Huo</name></author><author><name sortKey="Cai, Chuan" sort="Cai, Chuan" uniqKey="Cai C" first="Chuan" last="Cai">Chuan Cai</name></author><author><name sortKey="Liu, Hongchen" sort="Liu, Hongchen" uniqKey="Liu H" first="Hongchen" last="Liu">Hongchen Liu</name></author><author><name sortKey="Xu, Juan" sort="Xu, Juan" uniqKey="Xu J" first="Juan" last="Xu">Juan Xu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27867362</idno><idno type="pmc">5095113</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095113</idno><idno type="RBID">PMC:5095113</idno><idno type="doi">10.3389/fphys.2016.00519</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">002C57</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002C57</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Association between Myocardial Infarction and Periodontitis: A Meta-Analysis of Case-Control Studies</title><author><name sortKey="Shi, Quan" sort="Shi, Quan" uniqKey="Shi Q" first="Quan" last="Shi">Quan Shi</name></author><author><name sortKey="Zhang, Bin" sort="Zhang, Bin" uniqKey="Zhang B" first="Bin" last="Zhang">Bin Zhang</name></author><author><name sortKey="Huo, Na" sort="Huo, Na" uniqKey="Huo N" first="Na" last="Huo">Na Huo</name></author><author><name sortKey="Cai, Chuan" sort="Cai, Chuan" uniqKey="Cai C" first="Chuan" last="Cai">Chuan Cai</name></author><author><name sortKey="Liu, Hongchen" sort="Liu, Hongchen" uniqKey="Liu H" first="Hongchen" last="Liu">Hongchen Liu</name></author><author><name sortKey="Xu, Juan" sort="Xu, Juan" uniqKey="Xu J" first="Juan" last="Xu">Juan Xu</name></author></analytic><series><title level="j">Frontiers in Physiology</title><idno type="eISSN">1664-042X</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><bold>Background and Objective:</bold> Many clinical researches have been carried out to investigate the relationship between myocardial infarction (MI) and periodontitis. Despite most of them indicated that the periodontitis may be associated with an increased risk of MI, the findings and study types of these studies have been inconsistent. The goal of this meta-analysis was to critically assess the strength of the association between MI and periodontitis in case-control studies.</p><p><bold>Methods:</bold> PubMed and the Cochrane Library were searched for eligible case-control studies reporting relevant parameters that compared periodontal status between MI and control subjects. The odds ratios (ORs) and 95% confidence intervals (CIs) from each study were pooled to estimate the strength of the association between MI and periodontitis. The mean differences and 95% CIs for periodontal-related parameters were calculated to determine their overall effects.</p><p><bold>Results:</bold> Seventeen studies including a total of 3456 MI patients and 3875 non-MI control subjects were included. The pooled OR for the association between MI and periodontitis was 2.531 (95% CI: 1.927–3.324). The mean differences (95% CIs) for clinical attachment loss, probing depth, bleeding on probing, plaque index, and the number of missing teeth were 1.000 (0.726–1.247), 1.209 (0.538–1.880), 0.342 (0.129–0.555), 0.383 (0.205–0.560), and 4.122 (2.012–6.232), respectively.</p><p><bold>Conclusion:</bold> With the current evidence, the results support the presence of a significant association between MI and periodontitis. Moreover, MI patients had worse periodontal and oral hygiene status and fewer teeth than did control subjects. More high-quality and well-designed studies focusing on the casual relationship between MI and periodontitis should be conducted in the future.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Akamatsu, Y" uniqKey="Akamatsu Y">Y. Akamatsu</name></author><author><name sortKey="Yamamoto, T" uniqKey="Yamamoto T">T. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Physiol</journal-id><journal-id journal-id-type="iso-abbrev">Front Physiol</journal-id><journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id><journal-title-group><journal-title>Frontiers in Physiology</journal-title></journal-title-group><issn pub-type="epub">1664-042X</issn><publisher><publisher-name>Frontiers Media S.A.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27867362</article-id><article-id pub-id-type="pmc">5095113</article-id><article-id pub-id-type="doi">10.3389/fphys.2016.00519</article-id><article-categories><subj-group subj-group-type="heading"><subject>Physiology</subject><subj-group><subject>Original Research</subject></subj-group></subj-group></article-categories><title-group><article-title>Association between Myocardial Infarction and Periodontitis: A Meta-Analysis of Case-Control Studies</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Shi</surname><given-names>Quan</given-names></name><xref ref-type="author-notes" rid="fn004"><sup>†</sup></xref></contrib><contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Bin</given-names></name><xref ref-type="author-notes" rid="fn004"><sup>†</sup></xref></contrib><contrib contrib-type="author"><name><surname>Huo</surname><given-names>Na</given-names></name></contrib><contrib contrib-type="author"><name><surname>Cai</surname><given-names>Chuan</given-names></name></contrib><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Hongchen</given-names></name><xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref><uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/378737/overview"></uri></contrib><contrib contrib-type="author"><name><surname>Xu</surname><given-names>Juan</given-names></name><xref ref-type="author-notes" rid="fn002"><sup>*</sup></xref></contrib></contrib-group><aff><institution>Institute of Stomatology, Chinese PLA General Hospital</institution><country>Beijing, China</country></aff><author-notes><fn fn-type="edited-by"><p>Edited by: David P. Rice, University of Helsinki, Finland</p></fn><fn fn-type="edited-by"><p>Reviewed by: Ulvi Kahraman Gürsoy, University of Turku, Finland; Pirkko Pussinen, University of Helsinki, Finland</p></fn><corresp id="fn001">*Correspondence: Hongchen Liu <email xlink:type="simple">liuhc301@hotmail.com</email></corresp><corresp id="fn002">Juan Xu <email xlink:type="simple">newxj@hotmail.com</email></corresp><fn fn-type="other" id="fn003"><p>This article was submitted to Craniofacial Biology and Dental Research, a section of the journal Frontiers in Physiology</p></fn><fn fn-type="other" id="fn004"><p>†These authors have contributed equally to this work.</p></fn></author-notes><pub-date pub-type="epub"><day>04</day><month>11</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>7</volume><elocation-id>519</elocation-id><history><date date-type="received"><day>17</day><month>9</month><year>2016</year></date><date date-type="accepted"><day>20</day><month>10</month><year>2016</year></date></history><permissions><copyright-statement>Copyright © 2016 Shi, Zhang, Huo, Cai, Liu and Xu.</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Shi, Zhang, Huo, Cai, Liu and Xu</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license></permissions><abstract><p><bold>Background and Objective:</bold> Many clinical researches have been carried out to investigate the relationship between myocardial infarction (MI) and periodontitis. Despite most of them indicated that the periodontitis may be associated with an increased risk of MI, the findings and study types of these studies have been inconsistent. The goal of this meta-analysis was to critically assess the strength of the association between MI and periodontitis in case-control studies.</p><p><bold>Methods:</bold> PubMed and the Cochrane Library were searched for eligible case-control studies reporting relevant parameters that compared periodontal status between MI and control subjects. The odds ratios (ORs) and 95% confidence intervals (CIs) from each study were pooled to estimate the strength of the association between MI and periodontitis. The mean differences and 95% CIs for periodontal-related parameters were calculated to determine their overall effects.</p><p><bold>Results:</bold> Seventeen studies including a total of 3456 MI patients and 3875 non-MI control subjects were included. The pooled OR for the association between MI and periodontitis was 2.531 (95% CI: 1.927–3.324). The mean differences (95% CIs) for clinical attachment loss, probing depth, bleeding on probing, plaque index, and the number of missing teeth were 1.000 (0.726–1.247), 1.209 (0.538–1.880), 0.342 (0.129–0.555), 0.383 (0.205–0.560), and 4.122 (2.012–6.232), respectively.</p><p><bold>Conclusion:</bold> With the current evidence, the results support the presence of a significant association between MI and periodontitis. Moreover, MI patients had worse periodontal and oral hygiene status and fewer teeth than did control subjects. More high-quality and well-designed studies focusing on the casual relationship between MI and periodontitis should be conducted in the future.</p></abstract><kwd-group><kwd>periodontitis</kwd><kwd>myocardial infarction</kwd><kwd>periodontal examination</kwd><kwd>risk factor</kwd><kwd>case-control study</kwd><kwd>meta-analysis</kwd></kwd-group><funding-group><award-group><funding-source id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></funding-source><award-id rid="cn001">81271180</award-id><award-id rid="cn001">81500861</award-id></award-group></funding-group><counts><fig-count count="9"></fig-count><table-count count="2"></table-count><equation-count count="0"></equation-count><ref-count count="49"></ref-count><page-count count="12"></page-count><word-count count="6132"></word-count></counts></article-meta></front><body><sec sec-type="intro" id="s1"><title>Introduction</title><p>Myocardial infarction (MI), one type of cardiovascular disease (CVD), is caused by coronary artery occlusion resulting from atherosclerotic plaques. MI events can cause necrosis and apoptosis in a large number of myocardial cells and a severe reduction in the number of myocardial cells, which can directly lead to heart dysfunction and failure (He et al., <xref rid="B19" ref-type="bibr">2016</xref>). Currently, CVD and subsequent myocardial infarctions remain leading causes of morbidity and mortality worldwide (Ferrero et al., <xref rid="B16" ref-type="bibr">2014</xref>; GBD 2013 Mortality and Causes of Death Collaborators, <xref rid="B1" ref-type="bibr">2015</xref>; Baron et al., <xref rid="B5" ref-type="bibr">2016</xref>; Mozaffarian et al., <xref rid="B36" ref-type="bibr">2016</xref>). The World Bank estimates that by 2030, 23 million Chinese patients will experience acute MI annually, which poses a serious challenge to the nation's healthcare system (Zhang et al., <xref rid="B49" ref-type="bibr">2015</xref>; Tao et al., <xref rid="B45" ref-type="bibr">2016</xref>). Therefore, it is of great importance to explore relevant risk factors and propose useful methods for the prevention and treatment of MI.</p><p>Periodontitis is a chronic inflammatory disease that damages the soft and hard tissue supporting the teeth, which results in loss of connective tissue attachment, erosion of the alveolar bone, and tooth loss (Lundmark et al., <xref rid="B34" ref-type="bibr">2015</xref>). In the adult USA population, nearly half of individuals aged >30 years have some periodontitis, and almost 10% of the population has severe periodontitis (Eke et al., <xref rid="B12" ref-type="bibr">2012</xref>, <xref rid="B11" ref-type="bibr">2015</xref>, <xref rid="B13" ref-type="bibr">2016a</xref>,<xref rid="B14" ref-type="bibr">b</xref>). There is growing evidence suggesting that periodontitis is associated with increased MI risk (Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref>; Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref>; Noguchi et al., <xref rid="B37" ref-type="bibr">2015</xref>; Rydén et al., <xref rid="B40" ref-type="bibr">2016</xref>). Periodontitis shares some common risk factors with MI, such as diabetes and smoking (Kjellström et al., <xref rid="B28" ref-type="bibr">2016</xref>). In addition, growing literature indicates that local/systemic inflammation caused by periodontitis contributes to the risk of CVD, including MI events (De Nardin, <xref rid="B9" ref-type="bibr">2001</xref>; Shrihari, <xref rid="B41" ref-type="bibr">2012</xref>). An <italic>in vivo</italic> study showed that the periodontal pathogens could induce myocarditis and/or myocardial infarction in mice (Akamatsu et al., <xref rid="B2" ref-type="bibr">2011</xref>).</p><p>Despite rapid growth in the number of studies on the possible etiological role of periodontal disease in the pathology of MI, this issue has not been resolved, and the findings of these studies have been inconsistent (Hujoel et al., <xref rid="B23" ref-type="bibr">2000</xref>; Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>; Dietrich et al., <xref rid="B10" ref-type="bibr">2008</xref>; Sidhu, <xref rid="B42" ref-type="bibr">2016</xref>). While the majority of publications have suggested an association between periodontitis and MI, several epidemiologic studies have found no such relationship (Hujoel et al., <xref rid="B23" ref-type="bibr">2000</xref>; Howell et al., <xref rid="B22" ref-type="bibr">2001</xref>). One systematic review (Sidhu, <xref rid="B42" ref-type="bibr">2016</xref>) concluded that no relationship between these two conditions had been precisely replicated or verified, and therefore insufficient evidence was available to justify the hypothesis that periodontal interventions could prevent the onset or progression of MI events; the conclusion of that review was similar to that of the American Heart Association (AHA) (Lockhart et al., <xref rid="B33" ref-type="bibr">2012</xref>). In addition, despite the existence of several systematic reviews and meta-analyses evaluating the association between periodontitis and CVD (Janket et al., <xref rid="B24" ref-type="bibr">2003</xref>; Blaizot et al., <xref rid="B6" ref-type="bibr">2009</xref>), specialized meta-analyses that quantitatively assess the presence and strength of the association between MI and periodontitis are still lacking.</p><p>Several different types of studies have been used to investigate the association between periodontitis and MI, including cross-sectional studies, case-control studies, and prospective and retrospective cohort studies. The pooling of data from studies using different designs has led to significant structural and methodological variation in published system reviews and meta-analysis and, therefore, increased heterogeneity (Kelly et al., <xref rid="B26" ref-type="bibr">2013</xref>). To facilitate the determination of uniform statistical indicators and obtain more accurate and credible results, it is preferable to collect and merge data from the same type of research study. Therefore, the goal of this meta-analysis was to identify all related case-control studies investigating the association between periodontitis and MI and critically evaluate them to assess the strength of the association between MI and periodontitis. These results will provide clinicians and patients with better evidence-based evaluations and recommendations.</p></sec><sec sec-type="methods" id="s2"><title>Methods</title><sec><title>Focused topic</title><p>The main topics we focused on were as follows: 1. the presence and strength of the association between MI and periodontitis in case-control studies, and 2. whether the periodontal status of MI patients was worse than that of the control subjects.</p></sec><sec><title>Literature-search strategy</title><p>We searched PubMed for related studies in August 2016, and the language of the search was restricted to English. Then, we searched the Cochrane Library without restrictions on eligible studies. The combination of the following key words was used: “periodontitis,” “periodontal disease,” and “myocardial infarction.” In addition, the reference lists provided in the related articles and reviews were also considered.</p></sec><sec><title>Inclusion and exclusion criteria</title><p>In this meta-analysis, all available case-control studies with relevant parameters reported that compared periodontal status between MI and non-MI patients were included. Studies with data that could be extracted or calculated for pooling were also included. The exclusion criteria were (1) animal studies or <italic>in vitro</italic> studies; (2) reviews, letters, case reports or comments; (3) studies without data that could be extracted; and (4) studies without a case-control study design.</p><p>Briefly, according to the aforementioned inclusion criteria, the potential studies were selected as follows. First, after eliminating duplicate articles, irrelevant records were excluded by reading the titles and abstracts. Then, full-texts of the potential studies were scanned, and only the studies meeting the inclusion criteria were ultimately included in our meta-analysis. These results were independently assessed by two reviewers (SQ and ZB.), and any disagreement was resolved through discussion with a third reviewer (XJ).</p></sec><sec><title>Data extraction and quality assessment</title><p>The following information was extracted from each included study: the study ID (first author and year of publication), county, type of dental surgery, characteristics of the subjects (including the number of patients in both groups and patient age and gender), value of odds ratios (ORs), adjusted or matched factors, periodontal parameters (i.e., clinical attachment loss (CAL), probing depth (PD), bleeding on probing (BOP), plaque index (PI), number of missing teeth), methods of dental examination, and brief conclusions. This process was independently performed by two reviewers (SQ and XJ).</p><p>The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies by two reviewers (HN and CC). In this assessment tool, the study selection, comparability, and exposure are used to appraise the methodological quality of the included studies, with a maximum of 9 points for each study. (GA Wells)<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> NOS scores of 1–3, 4–6, and 7–9 indicated low, moderate, and high study quality, respectively.</p></sec><sec><title>Statistical analysis</title><p>Statistical analyses were performed using the Comprehensive Meta-Analysis software package (Version 2.0; Biostat). OR values and their 95% confidence intervals (CIs) from each study were pooled to estimate the strength of the association between MI and periodontitis. Subgroup analysis were performed to determine whether particular characteristics of studies (quality, regions, method of periodontal assessment and number of adjustment for confounding factors) were associated with the value of the overall OR and 95% CI. Sensitivity analysis and cumulative analysis was performed to analysis the stability of the pooled results.</p><p>Because all the parameters used for evaluating periodontal status in this meta-analysis were continuous, mean differences, standard deviations and 95% CIs were calculated for individual trials and the overall effects.</p><p>Statistical heterogeneity between studies was tested using <italic>I</italic><sup>2</sup> statistics. A fixed effects model was used if the <italic>I</italic><sup>2</sup> <50%. <italic>I</italic><sup>2</sup> > 50% was considered to be substantial heterogeneity and the random effects was used.</p></sec></sec><sec sec-type="results" id="s3"><title>Results</title><sec><title>Summary of the included studies</title><p>In total, 247 potentially relevant articles were identified through our search strategies. Of these studies, 209 were excluded according to the aforementioned inclusion criteria after a review of study titles and abstracts, including reviews, comments, and animal studies. After their exclusion, 38 articles were selected for further full-text review. Eventually, 17 studies (Emingil et al., <xref rid="B15" ref-type="bibr">2000</xref>; Rutger Persson et al., <xref rid="B39" ref-type="bibr">2003</xref>; Deliargyris et al., <xref rid="B8" ref-type="bibr">2004</xref>; Renvert et al., <xref rid="B38" ref-type="bibr">2004</xref>; Cueto et al., <xref rid="B7" ref-type="bibr">2005</xref>; Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>, <xref rid="B4" ref-type="bibr">2007</xref>; Kaisare et al., <xref rid="B25" ref-type="bibr">2007</xref>; Stein et al., <xref rid="B43" ref-type="bibr">2009</xref>; Willershausen et al., <xref rid="B46" ref-type="bibr">2009</xref>, <xref rid="B47" ref-type="bibr">2014</xref>; Holmlund et al., <xref rid="B21" ref-type="bibr">2011</xref>; Kodovazenitis et al., <xref rid="B29" ref-type="bibr">2011</xref>, <xref rid="B30" ref-type="bibr">2014</xref>; Khosravi Samani et al., <xref rid="B27" ref-type="bibr">2013</xref>; Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref>; Rydén et al., <xref rid="B40" ref-type="bibr">2016</xref>) were included in our meta-analysis. A flow diagram of search process and results is shown in Figure <xref ref-type="fig" rid="F1">1</xref>.</p><fig id="F1" position="float"><label>Figure 1</label><caption><p><bold>Flow diagram for the selection of studies</bold>. CVD, cardiovascular disease.</p></caption><graphic xlink:href="fphys-07-00519-g0001"></graphic></fig><p>The publication dates of the 17 included case-control studies ranged from 2000 to 2016. Thirteen studies were conducted in European countries (Emingil et al., <xref rid="B15" ref-type="bibr">2000</xref>; Rutger Persson et al., <xref rid="B39" ref-type="bibr">2003</xref>; Deliargyris et al., <xref rid="B8" ref-type="bibr">2004</xref>; Renvert et al., <xref rid="B38" ref-type="bibr">2004</xref>; Cueto et al., <xref rid="B7" ref-type="bibr">2005</xref>; Stein et al., <xref rid="B43" ref-type="bibr">2009</xref>; Willershausen et al., <xref rid="B46" ref-type="bibr">2009</xref>, <xref rid="B47" ref-type="bibr">2014</xref>; Holmlund et al., <xref rid="B21" ref-type="bibr">2011</xref>; Kodovazenitis et al., <xref rid="B29" ref-type="bibr">2011</xref>, <xref rid="B30" ref-type="bibr">2014</xref>; Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref>; Rydén et al., <xref rid="B40" ref-type="bibr">2016</xref>), 2 studies were conducted in USA (Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>, <xref rid="B4" ref-type="bibr">2007</xref>) and 2 were conducted in Asian countries (Kaisare et al., <xref rid="B25" ref-type="bibr">2007</xref>; Khosravi Samani et al., <xref rid="B27" ref-type="bibr">2013</xref>). Within the included studies, a total of 3456 MI patients and 3875 non-MI control subjects had been evaluated. Moreover, there were 34 edentulous patients included in the MI groups of these studies and 7 edentulous patients included in the control groups of these studies; these patients were excluded from the all of the following comprehensive analysis. The characteristics of included studies and patients are shown in Table <xref ref-type="table" rid="T1">1</xref>. The conclusions of the included studies were consistent: almost all of the studies provided evidence of an association between periodontitis and MI and worsened periodontal status in MI patients. The methods of periodontal evaluation and main conclusions of the included studies can be found in the Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>.</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><p><bold>Characteristics of included studies</bold>.</p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1"><bold>Study ID (First author, Year)</bold></th><th valign="top" align="left" rowspan="1" colspan="1"><bold>Country</bold></th><th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;" rowspan="1"><bold>Case (MI)</bold></th><th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;" rowspan="1"><bold>Control</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>OR value (95%CI)</bold></th><th valign="top" align="left" rowspan="1" colspan="1"><bold>Adjusted or matched factors</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>NOS score</bold></th></tr><tr><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>Number (male/female)</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>Age (mean ± SD)</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>Number (male/female)</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>Age (mean ± SD)</bold></th><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">Rydén et al., <xref rid="B40" ref-type="bibr">2016</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Sweden</td><td valign="top" align="center" rowspan="1" colspan="1">805(654/151)</td><td valign="top" align="center" rowspan="1" colspan="1">62±8</td><td valign="top" align="center" rowspan="1" colspan="1">805(654/151)</td><td valign="top" align="center" rowspan="1" colspan="1">62±8</td><td valign="top" align="center" rowspan="1" colspan="1">1.28 (1.03–1.60)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, smoking, medical history, habits, diabetes, education, marital status</td><td valign="top" align="center" rowspan="1" colspan="1">9</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Greece</td><td valign="top" align="center" rowspan="1" colspan="1">204(156/48)</td><td valign="top" align="center" rowspan="1" colspan="1">64.7±12.9</td><td valign="top" align="center" rowspan="1" colspan="1">102(62/40)</td><td valign="top" align="center" rowspan="1" colspan="1">64.2±10.1</td><td valign="top" align="center" rowspan="1" colspan="1">2.45 (1.35–4.59)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, hypertension, total cholesterol, smoking</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Willershausen et al., <xref rid="B47" ref-type="bibr">2014</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Germany</td><td valign="top" align="center" rowspan="1" colspan="1">248(201/47)</td><td valign="top" align="center" rowspan="1" colspan="1">62.3±10.1</td><td valign="top" align="center" rowspan="1" colspan="1">249(179/70)</td><td valign="top" align="center" rowspan="1" colspan="1">63.5±10.5</td><td valign="top" align="center" rowspan="1" colspan="1">1.146 (0.790–1.663)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Poland</td><td valign="top" align="center" rowspan="1" colspan="1">112(85/27)</td><td valign="top" align="center" rowspan="1" colspan="1">53.4±6.5</td><td valign="top" align="center" rowspan="1" colspan="1">67(43/24)</td><td valign="top" align="center" rowspan="1" colspan="1">54.6±9.4</td><td valign="top" align="center" rowspan="1" colspan="1">1.87 (1.41–2.48)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, smoking</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Khosravi Samani et al., <xref rid="B27" ref-type="bibr">2013</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Iran</td><td valign="top" align="center" rowspan="1" colspan="1">60</td><td valign="top" align="center" rowspan="1" colspan="1">54.97±9.68</td><td valign="top" align="center" rowspan="1" colspan="1">63</td><td valign="top" align="center" rowspan="1" colspan="1">55.89±11.9</td><td valign="top" align="center" rowspan="1" colspan="1">8.79 (2.36–32.66)</td><td valign="top" align="left" rowspan="1" colspan="1">—</td><td valign="top" align="center" rowspan="1" colspan="1">4</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Kodovazenitis et al., <xref rid="B29" ref-type="bibr">2011</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Greece</td><td valign="top" align="center" rowspan="1" colspan="1">47(25/22)</td><td valign="top" align="center" rowspan="1" colspan="1">69.6±11.9</td><td valign="top" align="center" rowspan="1" colspan="1">40(20/20)</td><td valign="top" align="center" rowspan="1" colspan="1">67.9±10.9</td><td valign="top" align="center" rowspan="1" colspan="1">2.926 (1.071–7.998)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Holmlund et al., <xref rid="B21" ref-type="bibr">2011</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Sweden</td><td valign="top" align="center" rowspan="1" colspan="1">100(79/21)</td><td valign="top" align="center" rowspan="1" colspan="1">57.1±5.5</td><td valign="top" align="center" rowspan="1" colspan="1">100(80/20)</td><td valign="top" align="center" rowspan="1" colspan="1">57.9±5.2</td><td valign="top" align="center" rowspan="1" colspan="1">4.61 (1.52–13.94)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, education</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Willershausen et al., <xref rid="B46" ref-type="bibr">2009</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Germany</td><td valign="top" align="center" rowspan="1" colspan="1">125 (106/19)</td><td valign="top" align="center" rowspan="1" colspan="1">61.8±10.4</td><td valign="top" align="center" rowspan="1" colspan="1">125(97/32)</td><td valign="top" align="center" rowspan="1" colspan="1">63.4±10.7</td><td valign="top" align="center" rowspan="1" colspan="1">3.572 (1.881–6.785)</td><td valign="top" align="left" rowspan="1" colspan="1">Gender, age, ethnicity, smoking</td><td valign="top" align="center" rowspan="1" colspan="1">5</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Stein et al., <xref rid="B43" ref-type="bibr">2009</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Germany</td><td valign="top" align="center" rowspan="1" colspan="1">54(50/4)</td><td valign="top" align="center" rowspan="1" colspan="1">50.8±6.3</td><td valign="top" align="center" rowspan="1" colspan="1">50(47/3)</td><td valign="top" align="center" rowspan="1" colspan="1">51.7±6.5</td><td valign="top" align="center" rowspan="1" colspan="1">4.014 (1.738–9.272)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender</td><td valign="top" align="center" rowspan="1" colspan="1">7</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Andriankaja et al., <xref rid="B4" ref-type="bibr">2007</xref></td><td valign="top" align="left" rowspan="1" colspan="1">USA</td><td valign="top" align="center" rowspan="1" colspan="1">574(443/131)</td><td valign="top" align="center" rowspan="1" colspan="1">54.96±8.95</td><td valign="top" align="center" rowspan="1" colspan="1">887(385/502)</td><td valign="top" align="center" rowspan="1" colspan="1">55.14±10.04</td><td valign="top" align="center" rowspan="1" colspan="1">1.443 (1.252–1.663)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, BMI, physical activity, hypertension, cholesterol, diabetes, total pack-years of cigarette smoking</td><td valign="top" align="center" rowspan="1" colspan="1">7</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Kaisare et al., <xref rid="B25" ref-type="bibr">2007</xref></td><td valign="top" align="left" rowspan="1" colspan="1">India</td><td valign="top" align="center" rowspan="1" colspan="1">250(143/107)</td><td valign="top" align="center" rowspan="1" colspan="1">55.5±9.8</td><td valign="top" align="center" rowspan="1" colspan="1">250(144/106)</td><td valign="top" align="center" rowspan="1" colspan="1">55.4±8.2</td><td valign="top" align="center" rowspan="1" colspan="1">1.062</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, education, marital status, occupation</td><td valign="top" align="center" rowspan="1" colspan="1">5</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref></td><td valign="top" align="left" rowspan="1" colspan="1">USA</td><td valign="top" align="center" rowspan="1" colspan="1">537(414/123)</td><td valign="top" align="center" rowspan="1" colspan="1">54.6±8.5</td><td valign="top" align="center" rowspan="1" colspan="1">800(351/449)</td><td valign="top" align="center" rowspan="1" colspan="1">55.0±0.0</td><td valign="top" align="center" rowspan="1" colspan="1">2.08 (1.51–2.87)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, hypertension, cholesterol, diabetes, total pack-years of cigarette smoking</td><td valign="top" align="center" rowspan="1" colspan="1">7</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Cueto et al., <xref rid="B7" ref-type="bibr">2005</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Spain</td><td valign="top" align="center" rowspan="1" colspan="1">72(50/22)</td><td valign="top" align="center" rowspan="1" colspan="1">62.5±9.9</td><td valign="top" align="center" rowspan="1" colspan="1">77(39/38)</td><td valign="top" align="center" rowspan="1" colspan="1">58.5±10.2</td><td valign="top" align="center" rowspan="1" colspan="1">3.31 (1.42–7.71)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, diabetes, hypertension, smoking, cholesterol, exercise</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Renvert et al., <xref rid="B38" ref-type="bibr">2004</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Sweden</td><td valign="top" align="center" rowspan="1" colspan="1">88</td><td valign="top" align="center" rowspan="1" colspan="1">62.7±9.1</td><td valign="top" align="center" rowspan="1" colspan="1">80</td><td valign="top" align="center" rowspan="1" colspan="1">62.7±9.1</td><td valign="top" align="center" rowspan="1" colspan="1">7.67 (1.13–51.92)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, social group</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Deliargyris et al., <xref rid="B8" ref-type="bibr">2004</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Greece</td><td valign="top" align="center" rowspan="1" colspan="1">40(29/11)</td><td valign="top" align="center" rowspan="1" colspan="1">60±11</td><td valign="top" align="center" rowspan="1" colspan="1">40(31/9)</td><td valign="top" align="center" rowspan="1" colspan="1">64±3</td><td valign="top" align="center" rowspan="1" colspan="1">4.26 (1.53–11.89)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender, race</td><td valign="top" align="center" rowspan="1" colspan="1">7</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Rutger Persson et al., <xref rid="B39" ref-type="bibr">2003</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Sweden</td><td valign="top" align="center" rowspan="1" colspan="1">80</td><td valign="top" align="center" rowspan="1" colspan="1">63.4±8.9</td><td valign="top" align="center" rowspan="1" colspan="1">80</td><td valign="top" align="center" rowspan="1" colspan="1">61.9±9.1</td><td valign="top" align="center" rowspan="1" colspan="1">14.1 (5.8–34.4)</td><td valign="top" align="left" rowspan="1" colspan="1">Age, gender</td><td valign="top" align="center" rowspan="1" colspan="1">8</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Emingil et al., <xref rid="B15" ref-type="bibr">2000</xref></td><td valign="top" align="left" rowspan="1" colspan="1">Turkey</td><td valign="top" align="center" rowspan="1" colspan="1">60(50/10)</td><td valign="top" align="center" rowspan="1" colspan="1">53.81±9.50</td><td valign="top" align="center" rowspan="1" colspan="1">60(42/18)</td><td valign="top" align="center" rowspan="1" colspan="1">58.53±11.69</td><td valign="top" align="center" rowspan="1" colspan="1">—</td><td valign="top" align="left" rowspan="1" colspan="1">—</td><td valign="top" align="center" rowspan="1" colspan="1">6</td></tr></tbody></table><table-wrap-foot><p><italic>MI, myocardial infarction; OR, odds ratio; CI, confidence interval; SD, standard deviation; NOS, Newcastle-Ottawa Scale; BMI, Body Mass Index</italic>.</p></table-wrap-foot></table-wrap><p>The results of the methodological quality assessment of the 17 included studies performed using the NOS are also shown in Table <xref ref-type="table" rid="T1">1</xref>. Six studies (Rutger Persson et al., <xref rid="B39" ref-type="bibr">2003</xref>; Deliargyris et al., <xref rid="B8" ref-type="bibr">2004</xref>; Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>, <xref rid="B4" ref-type="bibr">2007</xref>; Stein et al., <xref rid="B43" ref-type="bibr">2009</xref>; Rydén et al., <xref rid="B40" ref-type="bibr">2016</xref>) scored more than 7 points and were considered to be of high quality. Eleven studies (Emingil et al., <xref rid="B15" ref-type="bibr">2000</xref>; Renvert et al., <xref rid="B38" ref-type="bibr">2004</xref>; Cueto et al., <xref rid="B7" ref-type="bibr">2005</xref>; Kaisare et al., <xref rid="B25" ref-type="bibr">2007</xref>; Willershausen et al., <xref rid="B46" ref-type="bibr">2009</xref>, <xref rid="B47" ref-type="bibr">2014</xref>; Holmlund et al., <xref rid="B21" ref-type="bibr">2011</xref>; Kodovazenitis et al., <xref rid="B29" ref-type="bibr">2011</xref>, <xref rid="B30" ref-type="bibr">2014</xref>; Khosravi Samani et al., <xref rid="B27" ref-type="bibr">2013</xref>; Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref>) scored less than 6 points but more than 4 points, and these studies were considered to be of moderate quality. The mean score (6.29) was higher than 6, suggesting that the included studies had acceptable quality.</p></sec><sec><title>Meta-analysis</title><sec><title>Overall OR</title><p>A meta-analysis of the ORs assessing the odds of periodontitis between case (MI) and control (non-MI) patients was performed using data from the 15 included studies that reported or had data available to calculate the OR and 95% CI. The pooled OR for the case versus control subjects was 2.531 (95% CI: 1.927–3.324, Figure <xref ref-type="fig" rid="F2">2</xref>), and this difference was statistically significant (<italic>P</italic> = 0.000, Figure <xref ref-type="fig" rid="F2">2</xref>). This result showed that MI patients had a higher odds of periodontitis than did the control subjects. However, the heterogeneity between the included studies was high (<italic>I</italic><sup>2</sup>: 79.385); hence, a random effects model was selected.</p><fig id="F2" position="float"><label>Figure 2</label><caption><p><bold>Forest plot of the overall analysis of the association between MI and periodontitis</bold>. OR, odds ratio; CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0002"></graphic></fig><p>Despite the high level heterogeneity, the sensitivity analysis performed by sequentially removing individual studies did not change the results (Figure <xref ref-type="fig" rid="F3">3</xref>). Furthermore, a cumulative analysis performed by the order of publication date revealed stable and statistically significant results (Figure <xref ref-type="fig" rid="F4">4</xref>) that indicated a significant association between MI and periodontitis. Subgroup analysis according to quality, region, method of periodontal assessment and number of confounding factors adjusted for in the model all revealed significant associations between MI and periodontitis (Table <xref ref-type="table" rid="T2">2</xref>). Moreover, analysis in each subgroup also revealed high heterogeneity; therefore, subgroup analyses were also performed using random effects models.</p><fig id="F3" position="float"><label>Figure 3</label><caption><p><bold>Forest plot of the sensitivity analysis performed by sequential removing single studies</bold>. OR, odds ratio; CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0003"></graphic></fig><fig id="F4" position="float"><label>Figure 4</label><caption><p><bold>Forest plot of the cumulative meta-analysis by publication year</bold>. OR, odds ratio, CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0004"></graphic></fig><table-wrap id="T2" position="float"><label>Table 2</label><caption><p><bold>Statistics for subgroup analyses</bold>.</p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="top" align="left" rowspan="1" colspan="1"><bold>Subgroup</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>No. of studies</bold></th><th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;" rowspan="1"><bold>Statistics for each subgroup</bold></th></tr><tr><th rowspan="1" colspan="1"></th><th rowspan="1" colspan="1"></th><th valign="top" align="center" rowspan="1" colspan="1"><bold>OR (95%CI)</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold><italic>P</italic>-value</bold></th><th valign="top" align="center" rowspan="1" colspan="1"><bold><italic>I</italic><sup>2</sup>-value</bold></th></tr></thead><tbody><tr><td valign="top" align="left" rowspan="1" colspan="1">All studies</td><td valign="top" align="center" rowspan="1" colspan="1">15</td><td valign="top" align="center" rowspan="1" colspan="1">2.531(1.927–3.324)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">79.385</td></tr><tr style="background-color:#bbbdc0"><td valign="top" align="left" colspan="5" rowspan="1"><bold>QUALITY</bold></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">High (7–9)</td><td valign="top" align="center" rowspan="1" colspan="1">6</td><td valign="top" align="center" rowspan="1" colspan="1">2.474 (1.634–3.748)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">87.318</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Moderate (4–6)</td><td valign="top" align="center" rowspan="1" colspan="1">9</td><td valign="top" align="center" rowspan="1" colspan="1">2.655 (1.800–3.916)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">65.589</td></tr><tr style="background-color:#bbbdc0"><td valign="top" align="left" colspan="5" rowspan="1"><bold>REGIONS</bold></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">European countries</td><td valign="top" align="center" rowspan="1" colspan="1">12</td><td valign="top" align="center" rowspan="1" colspan="1">2.844 (1.954–4.139)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">79.974</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">USA</td><td valign="top" align="center" rowspan="1" colspan="1">2</td><td valign="top" align="center" rowspan="1" colspan="1">1.682 (1.181–2.396)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">76.001</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Asian countries</td><td valign="top" align="center" rowspan="1" colspan="1">1</td><td valign="top" align="center" rowspan="1" colspan="1">8.790 (2.363–32.699)</td><td valign="top" align="center" rowspan="1" colspan="1">0.001</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td></tr><tr style="background-color:#bbbdc0"><td valign="top" align="left" colspan="5" rowspan="1"><bold>ASSESSMENT OF PERIODONTAL DISEASE</bold></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">With radiological examination</td><td valign="top" align="center" rowspan="1" colspan="1">7</td><td valign="top" align="center" rowspan="1" colspan="1">2.740 (1.631–4.605)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">86.502</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">Without radiological examination</td><td valign="top" align="center" rowspan="1" colspan="1">8</td><td valign="top" align="center" rowspan="1" colspan="1">2.520 (1.776–3.576)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">70.161</td></tr><tr style="background-color:#bbbdc0"><td valign="top" align="left" colspan="5" rowspan="1"><bold>NUMBER OF CONFOUNDING FACTORS</bold></td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1">≥5</td><td valign="top" align="center" rowspan="1" colspan="1">5</td><td valign="top" align="center" rowspan="1" colspan="1">1.698 (1.329–2.170)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">66.903</td></tr><tr><td valign="top" align="left" rowspan="1" colspan="1"><5</td><td valign="top" align="center" rowspan="1" colspan="1">10</td><td valign="top" align="center" rowspan="1" colspan="1">3.657 (2.219–6.027)</td><td valign="top" align="center" rowspan="1" colspan="1">0.000</td><td valign="top" align="center" rowspan="1" colspan="1">79.306</td></tr></tbody></table><table-wrap-foot><p><italic>OR, odds ratio; CI, confidence interval</italic>.</p></table-wrap-foot></table-wrap></sec><sec><title>CAL</title><p>Seven studies reported CAL results for both groups. The overall effects showed patients in the MI group suffered more clinical attachment loss than did control group patients, and this difference was statistically significant (difference in means: 1.000 mm, 95% CI: 0.726–1.247, <italic>P</italic> = 0.000, random effects model, Figure <xref ref-type="fig" rid="F5">5</xref>).</p><fig id="F5" position="float"><label>Figure 5</label><caption><p><bold>Forest plot of the mean difference in CAL between the case and control groups</bold>. CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0005"></graphic></fig></sec><sec><title>PD</title><p>Six studies reported PD data for the MI and control groups. The results of meta-analysis revealed that PD was deeper in the MI group than in the control group, and the difference in means was 1.209 mm (95% CI: 0.538–1.880, <italic>P</italic> = 0.000, random effect model, Figure <xref ref-type="fig" rid="F6">6</xref>).</p><fig id="F6" position="float"><label>Figure 6</label><caption><p><bold>Forest plot of the mean difference in PD between the case and control groups</bold>. CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0006"></graphic></fig></sec><sec><title>BOP</title><p>Four studies reported BOP data for the MI and control groups. The overall effects showed a significantly higher level of BOP among MI patients compared with control subjects (difference in means: 0.342, 95% CI: 0.129–0.555, <italic>P</italic> = 0.002, random effects model, Figure <xref ref-type="fig" rid="F7">7</xref>).</p><fig id="F7" position="float"><label>Figure 7</label><caption><p><bold>Forest plot of the mean difference in BOP between the case and control groups</bold>. CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0007"></graphic></fig></sec><sec><title>PI</title><p>Five studies reported PI data for the MI and control groups. The overall effects showed a significantly higher level of plaque among MI patients compared with control subjects (difference in means: 0.383, 95% CI: 0.205–0.560, <italic>P</italic> = 0.000, random effects model, Figure <xref ref-type="fig" rid="F8">8</xref>).</p><fig id="F8" position="float"><label>Figure 8</label><caption><p><bold>Forest plot of the mean difference in PI between the case and control groups</bold>. CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0008"></graphic></fig></sec><sec><title>Missing teeth</title><p>Seven studies counted the number of missing teeth in the MI and control groups. The results of the meta-analysis showed that MI patients lost more teeth compared with control group patients, and this difference was statistically significant (difference in means: 4.122, 95% CI: 2.012–6.232, <italic>P</italic> = 0.000, random effects model, Figure <xref ref-type="fig" rid="F9">9</xref>).</p><fig id="F9" position="float"><label>Figure 9</label><caption><p><bold>Forest plot of the mean difference in missing teeth between the case and control groups</bold>. CI, confidence interval.</p></caption><graphic xlink:href="fphys-07-00519-g0009"></graphic></fig></sec></sec></sec><sec sec-type="discussion" id="s4"><title>Discussion</title><p>At present, the majority of studies focusing on the association between periodontitis and MI have been observational studies. Despite the fact that is has been suggested that randomized control trials (RCT) provide a higher-quality of evidence, this type of study cannot be used to answer all clinical questions for ethical, methodological, or logistic reasons (Guyatt et al., <xref rid="B18" ref-type="bibr">2008</xref>; Blaizot et al., <xref rid="B6" ref-type="bibr">2009</xref>). In this meta-analysis, to reduce structural and methodological variation and obtain more accurate results, the included studies were confined to those using a case-control methodology. Analysis of data from the 17 case-control studies included in our meta-analysis revealed that compared with the control subjects, MI patients had higher odds of periodontitis and more serious periodontitis, indicating there was a significant association between MI and periodontitis. Moreover, the MI patients suffered from worse periodontal status and more tooth loss.</p><p>The pooled OR was 2.531 (95% CI: 1.927–3.324), indicating that periodontitis was significantly associated with MI. Our results were similar to the findings of another meta-analysis that focused on the association between periodontal diseases and cardiovascular events; in that study, the pooled OR calculated using data from the 22 case-control and cross-sectional studies were 2.35 (Blaizot et al., <xref rid="B6" ref-type="bibr">2009</xref>). Both their and our meta-analysis showed high statistical heterogeneity among included studies. In this research, the <italic>I</italic><sup>2</sup>-value was 79.385, and a random effects model was adopted. However, the sensitivity analysis performed by sequentially removing individual studies did not change the results (Figure <xref ref-type="fig" rid="F3">3</xref>). Furthermore, the cumulative analysis performed by the order of publication date revealed stable and statistically significant results (Figure <xref ref-type="fig" rid="F4">4</xref>). In the subgroup analyses, the included studies were grouped according to quality, region, method of periodontal assessment, and number of confounding factors adjusted for in the models. Those results of all the subgroup analyses revealed significant associations between MI and periodontitis (Table <xref ref-type="table" rid="T2">2</xref>). Moreover, analysis performed within each subgroup also revealed high levels of heterogeneity.</p><p>Based on the current literature, the observed heterogeneity may have resulted from the following aspects. First, different diagnostic criteria and methods of periodontitis assessment were used. However, some researchers found that the association between periodontitis and MI was consistent regardless of the different measurements and case definitions of periodontitis used (Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>; Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref>). It is undeniable that different criteria and methods will lead to variation in the outcome measures. Second, different types of control subjects were included. Among the included studies, healthy subjects (Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref>; Willershausen et al., <xref rid="B47" ref-type="bibr">2014</xref>), trauma patients (Cueto et al., <xref rid="B7" ref-type="bibr">2005</xref>), or the CVD patients without MI (Kaisare et al., <xref rid="B25" ref-type="bibr">2007</xref>; Wożakowska-Kapłon et al., <xref rid="B48" ref-type="bibr">2013</xref>) were recruited as control subjects. Third, incomplete and differential adjustment for confounding factors may have played a role. Some factors can affect both MI and periodontitis independently, such as tobacco, diabetes, and age (Guiglia et al., <xref rid="B17" ref-type="bibr">2008</xref>; Blaizot et al., <xref rid="B6" ref-type="bibr">2009</xref>; Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref>). The included studies matched or adjusted for different types and numbers of the confounding factors. In this meta-analysis, the number of the confounding factors considered in the included studies ranged from 0 to 8. Forth, myocardial infarction is a medical emergency, and only the patients who survived an MI event (excluding those patients died of MI) had been included in these studies. These factors are not all of the reasons that heterogeneity was observed; however, they may have played a critical role in contributing to the high level heterogeneity identified among these observational studies.</p><p>Through comprehensive analysis of the periodontal parameters, the overall effects showed that periodontal status and oral hygiene were worse in MI patients compared to control subjects. The periodontal measurements CAL and PD have been well established as reflections of periodontal disease in both clinical research and clinical practice (Machtei et al., <xref rid="B35" ref-type="bibr">1993</xref>; Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>; Kodovazenitis et al., <xref rid="B30" ref-type="bibr">2014</xref>). In addition, these two factors reflect both past periodontitis and recent inflammation in patients. This meta-analysis found that MI patients had more attachment loss and deeper periodontal pockets. The differences in the means values of CAL and PD between MI and control subjects were 1.000 and 1.209 mm, respectively. Moreover, in the MI patients, a significantly higher level of plaque and BOP were identified compared with control subjects, indicating poor oral hygiene in MI patients. However, the reason that MI patients had a higher level of BOP and dental plaque might also be that they had longer stays in the intensive care unit and hospital during which they may not or could not have maintained their daily oral hygiene (Rutger Persson et al., <xref rid="B39" ref-type="bibr">2003</xref>; Renvert et al., <xref rid="B38" ref-type="bibr">2004</xref>). Furthermore, the overall effect revealed that the MI patients had lost more than 4 teeth (difference in means: 4.122, 95% CI: 2.012–6.232, <italic>P</italic> = 0.000) more than the control subjects. While tooth loss can be caused by many reasons, the greater extent of tooth loss in this population somewhat reflects a previous accumulation of oral inflammation, (Liljestrand et al., <xref rid="B32" ref-type="bibr">2015</xref>) and many studies have determined there to be an association between MI status and the number of missing teeth (Andriankaja et al., <xref rid="B3" ref-type="bibr">2006</xref>; Stein et al., <xref rid="B43" ref-type="bibr">2009</xref>; Kodovazenitis et al., <xref rid="B29" ref-type="bibr">2011</xref>, <xref rid="B30" ref-type="bibr">2014</xref>).</p><p>This meta-analysis showed that there was a significant association between MI and periodontitis. While there is still a lack of relevant evidence for the causal relationship between MI and periodontitis (Blaizot et al., <xref rid="B6" ref-type="bibr">2009</xref>; Stewart and West, <xref rid="B44" ref-type="bibr">2016</xref>), it is undeniable that this associations is of great importance because of the potential effect that preventing or treating periodontal disease could have on reducing the risk of MI. In the long-term, the achievement of a sustained improvement in periodontal health and reduction in the risk of MI or relevant complications, rather than a single treatment, have been recommended (Stewart and West, <xref rid="B44" ref-type="bibr">2016</xref>). However, the AHA has noted that although periodontal interventions result in a reduction in systemic inflammation and endothelial dysfunction in short-term studies, there is no evidence that they prevent atherosclerotic vascular disease or modify its outcomes (Lockhart et al., <xref rid="B33" ref-type="bibr">2012</xref>). In addition, some researchers have concluded that insufficient evidence is available to justify the hypothesis that periodontal interventions can prevent the onset or progression of acute myocardial events (Li et al., <xref rid="B31" ref-type="bibr">2014</xref>; Henschel and Keenan, <xref rid="B20" ref-type="bibr">2015</xref>; Sidhu, <xref rid="B42" ref-type="bibr">2016</xref>). Therefore, more clinical research to evaluate the effectiveness of interventions for periodontitis on the reduction of MI events is needed in future.</p><p>To our knowledge, this is the first meta-analysis to specifically estimate the association between MI and periodontitis using quantitative analysis. We included only case-control studies to reduce structural and methodological variation. We not only assessed the association between MI and periodontitis by pooling the OR values reported by each study but also examined relevant periodontal parameters to evaluate periodontal and oral hygiene status. Moreover, sensitivity and cumulative analyses were performed to determine the stability of the pooled results. However, our meta-analysis has three limitations. First, heterogeneity among the included studies was high, both in the overall effect analysis and the subgroup analyses. Second, the search strategy was confined to English-language studies, which might have introduced a selection bias into this meta-analysis. Third, due to the limited number of studies analyzing each of the periodontal parameters, sensitivity, cumulative and subgroup analyses were not performed.</p><p>In summary and in consideration of the strengths and limitations of this study, the pooled data evaluated in this meta-analysis support the conclusion that MI patients had higher odds of periodontitis and more serious periodontitis than did controls, and there was a significant association between MI and periodontitis. At the same time, MI patients had worse periodontal and oral hygiene status and fewer teeth than did control subjects. More importantly, more high-quality and well-designed studies focused on the casual relationship between MI and periodontitis should be conducted. In addition, studies focused on the effect of interventions for periodontitis on the reduction of MI events are also needed in the future.</p></sec><sec id="s5"><title>Author contributions</title><p>The sections on literature research, study selection and data extraction were completed by QS and BZ; the section on risk of bias evaluation and data analysis were completed by NH and CC; QS drafted the manuscript and BZ, JX helped to revise the manuscript. HL and JX are the corresponding authors, and they undertook the work of designing this meta-analysis, coordinating and helping to draft the manuscript. All authors read and approved the final manuscript.</p></sec><sec id="s6"><title>Funding</title><p>This study was supported in part by grants from the National High Technology Research and Development Program (“863” Program) of China (2015AA033502) and the National Natural Science Foundation of China (NO. 81271180, 81500861).</p><sec><title>Conflict of interest statement</title><p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer PP and handling Editor declared their shared affiliation, and the handling Editor states that the process nevertheless met the standards of a fair and objective review.</p></sec></sec></body><back><fn-group><fn id="fn0001"><p><sup>1</sup>Ga Wells, B. S., O'connell, D., Peterson, J., Welch, V., Losos, M., and Tugwell, P. <italic>The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Non-randomized Studies in Meta-Analyses</italic> [Online]. Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp">http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp</ext-link> [Accessed].</p></fn></fn-group><sec sec-type="supplementary-material" id="s7"><title>Supplementary material</title><p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fphys.2016.00519/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fphys.2016.00519/full#supplementary-material</ext-link></p><supplementary-material content-type="local-data" id="SM1"><media xlink:href="Table1.DOCX"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec><ref-list><title>References</title><ref id="B2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Akamatsu</surname><given-names>Y.</given-names></name><name><surname>Yamamoto</surname><given-names>T.</given-names></name><name><surname>Yamamoto</surname><given-names>K.</given-names></name><name><surname>Oseko</surname><given-names>F.</given-names></name><name><surname>Kanamura</surname><given-names>N.</given-names></name><name><surname>Imanishi</surname><given-names>J.</given-names></name><etal></etal></person-group>. 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