Pattern and Distribution of Colorectal Cancer in Tanzania: A Retrospective Chart Audit at Two National Hospitals
Identifieur interne : 002615 ( Pmc/Curation ); précédent : 002614; suivant : 002616Pattern and Distribution of Colorectal Cancer in Tanzania: A Retrospective Chart Audit at Two National Hospitals
Auteurs : Leonard K. Katalambula [Tanzanie] ; Julius Edward Ntwenya [Tanzanie] ; Twalib Ngoma [Tanzanie] ; Joram Buza [Tanzanie] ; Emmanuel Mpolya [Tanzanie] ; Abdallah H. Mtumwa [Tanzanie] ; Pammla Petrucka [Tanzanie, Canada]Source :
- Journal of Cancer Epidemiology [ 1687-8558 ] ; 2016.
Abstract
Url:
DOI: 10.1155/2016/3769829
PubMed: 27965709
PubMed Central: 5124659
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Pattern and Distribution of Colorectal Cancer in Tanzania: A Retrospective Chart Audit at Two National Hospitals</title><author><name sortKey="Katalambula, Leonard K" sort="Katalambula, Leonard K" uniqKey="Katalambula L" first="Leonard K." last="Katalambula">Leonard K. Katalambula</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="I2">Department of Public Health, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Public Health, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Ntwenya, Julius Edward" sort="Ntwenya, Julius Edward" uniqKey="Ntwenya J" first="Julius Edward" last="Ntwenya">Julius Edward Ntwenya</name><affiliation wicri:level="1"><nlm:aff id="I2">Department of Public Health, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Public Health, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Ngoma, Twalib" sort="Ngoma, Twalib" uniqKey="Ngoma T" first="Twalib" last="Ngoma">Twalib Ngoma</name><affiliation wicri:level="1"><nlm:aff id="I3">Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Muhimbili University of Health and Allied Sciences, Dar es Salaam</wicri:regionArea></affiliation></author><author><name sortKey="Buza, Joram" sort="Buza, Joram" uniqKey="Buza J" first="Joram" last="Buza">Joram Buza</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation></author><author><name sortKey="Mpolya, Emmanuel" sort="Mpolya, Emmanuel" uniqKey="Mpolya E" first="Emmanuel" last="Mpolya">Emmanuel Mpolya</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation></author><author><name sortKey="Mtumwa, Abdallah H" sort="Mtumwa, Abdallah H" uniqKey="Mtumwa A" first="Abdallah H." last="Mtumwa">Abdallah H. Mtumwa</name><affiliation wicri:level="1"><nlm:aff id="I4">Department of Statistics, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Statistics, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Petrucka, Pammla" sort="Petrucka, Pammla" uniqKey="Petrucka P" first="Pammla" last="Petrucka">Pammla Petrucka</name><affiliation wicri:level="1"><nlm:aff id="I5">Adjunct Faculty, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Adjunct Faculty, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="I6">University of Saskatchewan, Regina, SK, Canada</nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea>University of Saskatchewan, Regina, SK</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27965709</idno><idno type="pmc">5124659</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124659</idno><idno type="RBID">PMC:5124659</idno><idno type="doi">10.1155/2016/3769829</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">002616</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002616</idno><idno type="wicri:Area/Pmc/Curation">002615</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">002615</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Pattern and Distribution of Colorectal Cancer in Tanzania: A Retrospective Chart Audit at Two National Hospitals</title><author><name sortKey="Katalambula, Leonard K" sort="Katalambula, Leonard K" uniqKey="Katalambula L" first="Leonard K." last="Katalambula">Leonard K. Katalambula</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="I2">Department of Public Health, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Public Health, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Ntwenya, Julius Edward" sort="Ntwenya, Julius Edward" uniqKey="Ntwenya J" first="Julius Edward" last="Ntwenya">Julius Edward Ntwenya</name><affiliation wicri:level="1"><nlm:aff id="I2">Department of Public Health, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Public Health, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Ngoma, Twalib" sort="Ngoma, Twalib" uniqKey="Ngoma T" first="Twalib" last="Ngoma">Twalib Ngoma</name><affiliation wicri:level="1"><nlm:aff id="I3">Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Muhimbili University of Health and Allied Sciences, Dar es Salaam</wicri:regionArea></affiliation></author><author><name sortKey="Buza, Joram" sort="Buza, Joram" uniqKey="Buza J" first="Joram" last="Buza">Joram Buza</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation></author><author><name sortKey="Mpolya, Emmanuel" sort="Mpolya, Emmanuel" uniqKey="Mpolya E" first="Emmanuel" last="Mpolya">Emmanuel Mpolya</name><affiliation wicri:level="1"><nlm:aff id="I1">School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation></author><author><name sortKey="Mtumwa, Abdallah H" sort="Mtumwa, Abdallah H" uniqKey="Mtumwa A" first="Abdallah H." last="Mtumwa">Abdallah H. Mtumwa</name><affiliation wicri:level="1"><nlm:aff id="I4">Department of Statistics, University of Dodoma, Dodoma, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Department of Statistics, University of Dodoma, Dodoma</wicri:regionArea></affiliation></author><author><name sortKey="Petrucka, Pammla" sort="Petrucka, Pammla" uniqKey="Petrucka P" first="Pammla" last="Petrucka">Pammla Petrucka</name><affiliation wicri:level="1"><nlm:aff id="I5">Adjunct Faculty, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</nlm:aff><country xml:lang="fr">Tanzanie</country><wicri:regionArea>Adjunct Faculty, Nelson Mandela African Institution of Science and Technology, Arusha</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="I6">University of Saskatchewan, Regina, SK, Canada</nlm:aff><country xml:lang="fr">Canada</country><wicri:regionArea>University of Saskatchewan, Regina, SK</wicri:regionArea></affiliation></author></analytic><series><title level="j">Journal of Cancer Epidemiology</title><idno type="ISSN">1687-8558</idno><idno type="eISSN">1687-8566</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><italic>Background</italic>. Colorectal cancer (CRC) is a growing public health concern with increasing rates in countries with previously known low incidence. This study determined pattern and distribution of CRC in Tanzania and identified hot spots in case distribution.<italic> Methods</italic>. A retrospective chart audit reviewed hospital registers and patient files from two national institutions. Descriptive statistics, Chi square (<italic>χ</italic><sup>2</sup>) tests, and regression analyses were employed and augmented by data visualization to display risk variable differences.<italic> Results</italic>. CRC cases increased sixfold in the last decade in Tanzania. There was a 1.5% decrease in incidences levels of rectal cancer and 2% increase for colon cancer every year from 2005 to 2015. Nearly half of patients listed Dar es Salaam as their primary residence. CRC was equally distributed between males (50.06%) and females (49.94%), although gender likelihood of diagnosis type (i.e., rectal or colon) was significantly different (<italic>P</italic> = 0.027). More than 60% of patients were between 40 and 69 years.<italic> Conclusions</italic>. Age (<italic>P</italic> = 0.0183) and time (<italic>P</italic> = 0.004) but not gender (<italic>P</italic> = 0.0864) were significantly associated with rectal cancer in a retrospective study in Tanzania. Gender (<italic>P</italic> = 0.0405), age (<italic>P</italic> = 0.0015), and time (<italic>P</italic> = 0.0075) were all significantly associated with colon cancer in this study. This retrospective study found that colon cancer is more prevalent among males at a relatively younger age than rectal cancer. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">J Cancer Epidemiol</journal-id><journal-id journal-id-type="iso-abbrev">J Cancer Epidemiol</journal-id><journal-id journal-id-type="publisher-id">JCE</journal-id><journal-title-group><journal-title>Journal of Cancer Epidemiology</journal-title></journal-title-group><issn pub-type="ppub">1687-8558</issn><issn pub-type="epub">1687-8566</issn><publisher><publisher-name>Hindawi Publishing Corporation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27965709</article-id><article-id pub-id-type="pmc">5124659</article-id><article-id pub-id-type="doi">10.1155/2016/3769829</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Pattern and Distribution of Colorectal Cancer in Tanzania: A Retrospective Chart Audit at Two National Hospitals</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Katalambula</surname><given-names>Leonard K.</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref><xref ref-type="aff" rid="I2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ntwenya</surname><given-names>Julius Edward</given-names></name><xref ref-type="aff" rid="I2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Ngoma</surname><given-names>Twalib</given-names></name><xref ref-type="aff" rid="I3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Buza</surname><given-names>Joram</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Mpolya</surname><given-names>Emmanuel</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-4651-4555</contrib-id><name><surname>Mtumwa</surname><given-names>Abdallah H.</given-names></name><xref ref-type="aff" rid="I4"><sup>4</sup></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-3174-3328</contrib-id><name><surname>Petrucka</surname><given-names>Pammla</given-names></name><xref ref-type="aff" rid="I5"><sup>5</sup></xref><xref ref-type="aff" rid="I6"><sup>6</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="I1"><sup>1</sup>School of Life Science and Bioengineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</aff><aff id="I2"><sup>2</sup>Department of Public Health, University of Dodoma, Dodoma, Tanzania</aff><aff id="I3"><sup>3</sup>Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</aff><aff id="I4"><sup>4</sup>Department of Statistics, University of Dodoma, Dodoma, Tanzania</aff><aff id="I5"><sup>5</sup>Adjunct Faculty, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania</aff><aff id="I6"><sup>6</sup>University of Saskatchewan, Regina, SK, Canada</aff><author-notes><corresp id="cor1">*Pammla Petrucka: <email>pammla.petrucka@sasktel.net</email></corresp><fn fn-type="other"><p>Academic Editor: Jianming Ying</p></fn></author-notes><pub-date pub-type="ppub"><year>2016</year></pub-date><pub-date pub-type="epub"><day>14</day><month>11</month><year>2016</year></pub-date><volume>2016</volume><elocation-id>3769829</elocation-id><history><date date-type="received"><day>12</day><month>5</month><year>2016</year></date><date date-type="accepted"><day>9</day><month>8</month><year>2016</year></date></history><permissions><copyright-statement>Copyright © 2016 Leonard K. Katalambula et al.</copyright-statement><copyright-year>2016</copyright-year><license xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p><italic>Background</italic>. Colorectal cancer (CRC) is a growing public health concern with increasing rates in countries with previously known low incidence. This study determined pattern and distribution of CRC in Tanzania and identified hot spots in case distribution.<italic> Methods</italic>. A retrospective chart audit reviewed hospital registers and patient files from two national institutions. Descriptive statistics, Chi square (<italic>χ</italic><sup>2</sup>) tests, and regression analyses were employed and augmented by data visualization to display risk variable differences.<italic> Results</italic>. CRC cases increased sixfold in the last decade in Tanzania. There was a 1.5% decrease in incidences levels of rectal cancer and 2% increase for colon cancer every year from 2005 to 2015. Nearly half of patients listed Dar es Salaam as their primary residence. CRC was equally distributed between males (50.06%) and females (49.94%), although gender likelihood of diagnosis type (i.e., rectal or colon) was significantly different (<italic>P</italic> = 0.027). More than 60% of patients were between 40 and 69 years.<italic> Conclusions</italic>. Age (<italic>P</italic> = 0.0183) and time (<italic>P</italic> = 0.004) but not gender (<italic>P</italic> = 0.0864) were significantly associated with rectal cancer in a retrospective study in Tanzania. Gender (<italic>P</italic> = 0.0405), age (<italic>P</italic> = 0.0015), and time (<italic>P</italic> = 0.0075) were all significantly associated with colon cancer in this study. This retrospective study found that colon cancer is more prevalent among males at a relatively younger age than rectal cancer. Further, our study showed that although more patients were diagnosed with rectal cancer, the trend has shown that colon cancer is increasing at a faster rate. </p></abstract><funding-group><award-group><funding-source>Nelson Mandela African Institution of Science and Technology</funding-source></award-group></funding-group></article-meta></front><floats-group><fig id="fig1" orientation="portrait" position="float"><label>Figure 1</label><caption><p>CRC cases distribution by gender and hospital.</p></caption><graphic xlink:href="JCE2016-3769829.001"></graphic></fig><fig id="fig2" orientation="portrait" position="float"><label>Figure 2</label><caption><p>CRC cases distribution by age and gender.</p></caption><graphic xlink:href="JCE2016-3769829.002"></graphic></fig><fig id="fig3" orientation="portrait" position="float"><label>Figure 3</label><caption><p>Geographic distribution of colorectal cancer.</p></caption><graphic xlink:href="JCE2016-3769829.003"></graphic></fig><fig id="fig4" orientation="portrait" position="float"><label>Figure 4</label><caption><p>Colorectal cancer cases by region and year.</p></caption><graphic xlink:href="JCE2016-3769829.004"></graphic></fig><fig id="fig5" orientation="portrait" position="float"><label>Figure 5</label><caption><p>CRC cases distribution by year. <italic>∗</italic> shows that there were missing records in that year from Ocean Road.</p></caption><graphic xlink:href="JCE2016-3769829.005"></graphic></fig><fig id="fig6" orientation="portrait" position="float"><label>Figure 6</label><caption><p>CRC cases distribution by subsite and gender.</p></caption><graphic xlink:href="JCE2016-3769829.006"></graphic></fig><table-wrap id="tab1" orientation="portrait" position="float"><label>Table 1</label><caption><p>Number and source of patient charts.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Source of record </th><th align="center" rowspan="1" colspan="1">Number of charts in the record</th><th align="center" rowspan="1" colspan="1">Retrieved charts</th><th align="center" rowspan="1" colspan="1">Removed charts</th><th align="center" rowspan="1" colspan="1">Total</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Patient charts retrieved from MNH</td><td align="center" rowspan="1" colspan="1">704</td><td align="center" rowspan="1" colspan="1">366</td><td align="center" rowspan="1" colspan="1">59</td><td align="center" rowspan="1" colspan="1">307</td></tr><tr><td align="left" rowspan="1" colspan="1">Patients charts retrieved from ORCI with referral letter from MNH</td><td align="center" rowspan="1" colspan="1">286</td><td align="center" rowspan="1" colspan="1">286</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">286</td></tr><tr><td align="left" rowspan="1" colspan="1">Patients charts retrieved from ORCI with referral letter from other hospitals</td><td align="center" rowspan="1" colspan="1">308</td><td align="center" rowspan="1" colspan="1">308</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">308</td></tr></tbody></table></table-wrap><table-wrap id="tab2" orientation="portrait" position="float"><label>Table 2</label><caption><p>Age-standardized incidence rates per 100,000 (world standard) in Tanzania and different administrative regions of Tanzania.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Geographical area</th><th align="center" rowspan="1" colspan="1">Adjusted rates</th><th align="center" rowspan="1" colspan="1">Crude rates</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Tanzania</td><td align="center" rowspan="1" colspan="1">3.831458994</td><td align="center" rowspan="1" colspan="1">64.92886737</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Arusha</italic></td><td align="center" rowspan="1" colspan="1"><italic>4.192229604</italic></td><td align="center" rowspan="1" colspan="1"><italic>73.32859002</italic></td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Dar es salaam</italic></td><td align="center" rowspan="1" colspan="1"><italic>20.23704632</italic></td><td align="center" rowspan="1" colspan="1"><italic>330.2030566</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Dodoma</td><td align="center" rowspan="1" colspan="1">2.656542926</td><td align="center" rowspan="1" colspan="1">46.61069949</td></tr><tr><td align="left" rowspan="1" colspan="1">Geita</td><td align="center" rowspan="1" colspan="1">0.142077125</td><td align="center" rowspan="1" colspan="1">2.646692957</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Iringa</italic></td><td align="center" rowspan="1" colspan="1"><italic>3.460510783</italic></td><td align="center" rowspan="1" colspan="1"><italic>60.68991432</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Kagera</td><td align="center" rowspan="1" colspan="1">0.842052764</td><td align="center" rowspan="1" colspan="1">13.31652511</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Kilimanjaro</italic></td><td align="center" rowspan="1" colspan="1"><italic>4.441958929</italic></td><td align="center" rowspan="1" colspan="1"><italic>79.25571383</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Kigoma</td><td align="center" rowspan="1" colspan="1">0.945466469</td><td align="center" rowspan="1" colspan="1">13.31267019</td></tr><tr><td align="left" rowspan="1" colspan="1">Lindi</td><td align="center" rowspan="1" colspan="1">0.718486048</td><td align="center" rowspan="1" colspan="1">15.18403374</td></tr><tr><td align="left" rowspan="1" colspan="1">Mara</td><td align="center" rowspan="1" colspan="1">0.841284682</td><td align="center" rowspan="1" colspan="1">15.30577802</td></tr><tr><td align="left" rowspan="1" colspan="1">Manyara</td><td align="center" rowspan="1" colspan="1">1.050908994</td><td align="center" rowspan="1" colspan="1">15.53281304</td></tr><tr><td align="left" rowspan="1" colspan="1">Mbeya</td><td align="center" rowspan="1" colspan="1">2.485941105</td><td align="center" rowspan="1" colspan="1">41.43108835</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Morogoro</italic></td><td align="center" rowspan="1" colspan="1"><italic>3.596505243</italic></td><td align="center" rowspan="1" colspan="1"><italic>61.36434016</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Mtwara</td><td align="center" rowspan="1" colspan="1">1.660324899</td><td align="center" rowspan="1" colspan="1">30.25055109</td></tr><tr><td align="left" rowspan="1" colspan="1">Mwanza</td><td align="center" rowspan="1" colspan="1">1.590799707</td><td align="center" rowspan="1" colspan="1">28.81504262</td></tr><tr><td align="left" rowspan="1" colspan="1">Njombe</td><td align="center" rowspan="1" colspan="1">1.762859356</td><td align="center" rowspan="1" colspan="1">33.75304226</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Pwani</italic></td><td align="center" rowspan="1" colspan="1"><italic>7.217865267</italic></td><td align="center" rowspan="1" colspan="1"><italic>125.8673874</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Rukwa</td><td align="center" rowspan="1" colspan="1">1.227169289</td><td align="center" rowspan="1" colspan="1">19.57289293</td></tr><tr><td align="left" rowspan="1" colspan="1">Ruvuma</td><td align="center" rowspan="1" colspan="1">1.936379494</td><td align="center" rowspan="1" colspan="1">33.37093399</td></tr><tr><td align="left" rowspan="1" colspan="1">Shinyanga</td><td align="center" rowspan="1" colspan="1">1.088767012</td><td align="center" rowspan="1" colspan="1">20.89590056</td></tr><tr><td align="left" rowspan="1" colspan="1">Simiyu</td><td align="center" rowspan="1" colspan="1">0.156195397</td><td align="center" rowspan="1" colspan="1">4.200268817</td></tr><tr><td align="left" rowspan="1" colspan="1">Singida</td><td align="center" rowspan="1" colspan="1">1.845545557</td><td align="center" rowspan="1" colspan="1">31.07724838</td></tr><tr><td align="left" rowspan="1" colspan="1">Tabora</td><td align="center" rowspan="1" colspan="1">1.363903515</td><td align="center" rowspan="1" colspan="1">25.61944678</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Tanga</italic></td><td align="center" rowspan="1" colspan="1"><italic>3.501658102</italic></td><td align="center" rowspan="1" colspan="1"><italic>60.94362847</italic></td></tr><tr><td align="left" rowspan="1" colspan="1">Zanzibar</td><td align="center" rowspan="1" colspan="1">2.986722615</td><td align="center" rowspan="1" colspan="1">58.59521303</td></tr></tbody></table></table-wrap><table-wrap id="tab3" orientation="portrait" position="float"><label>Table 3</label><caption><p>Percentage distribution of colon and rectal cancer by gender and age.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Variable</th><th align="center" rowspan="1" colspan="1">Total frequency<break></break><italic>n</italic> (%) = 822</th><th align="center" rowspan="1" colspan="1">Rectal cancer<break></break><italic>n</italic> (%) = 478 (58.15)</th><th align="center" rowspan="1" colspan="1">Colon cancer<break></break><italic>n</italic> (%) = 344 (41.80)</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><italic>Gender</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td align="center" rowspan="1" colspan="1">398 (48.36)</td><td align="center" rowspan="1" colspan="1">216 (54.27)</td><td align="center" rowspan="1" colspan="1">182 (45.73)</td><td rowspan="2" align="center" colspan="1">0.0270</td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="center" rowspan="1" colspan="1">425 (51.64)</td><td align="center" rowspan="1" colspan="1">262 (61.88)</td><td align="center" rowspan="1" colspan="1">162 (38.12)</td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Age (years)</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">15–19</td><td align="center" rowspan="1" colspan="1">13 (1.58)</td><td align="center" rowspan="1" colspan="1">6 (46.15)</td><td align="center" rowspan="1" colspan="1">7 (53.85)</td><td rowspan="14" align="center" colspan="1">0.3744</td></tr><tr><td align="left" rowspan="1" colspan="1">20–24</td><td align="center" rowspan="1" colspan="1">31 (3.77)</td><td align="center" rowspan="1" colspan="1">14 (45.16)</td><td align="center" rowspan="1" colspan="1">17 (54.84)</td></tr><tr><td align="left" rowspan="1" colspan="1">25–29</td><td align="center" rowspan="1" colspan="1">54 (6.57)</td><td align="center" rowspan="1" colspan="1">27 (50)</td><td align="center" rowspan="1" colspan="1">27 (50)</td></tr><tr><td align="left" rowspan="1" colspan="1">30–34</td><td align="center" rowspan="1" colspan="1">59 (7.18)</td><td align="center" rowspan="1" colspan="1">32 (54.24)</td><td align="center" rowspan="1" colspan="1">27 (45.76)</td></tr><tr><td align="left" rowspan="1" colspan="1">35–39</td><td align="center" rowspan="1" colspan="1">61 (7.42)</td><td align="center" rowspan="1" colspan="1">35 (57.38)</td><td align="center" rowspan="1" colspan="1">26 (42.62)</td></tr><tr><td align="left" rowspan="1" colspan="1">40–44</td><td align="center" rowspan="1" colspan="1">78 (9.49)</td><td align="center" rowspan="1" colspan="1">47 (60.26)</td><td align="center" rowspan="1" colspan="1">31 (39.74)</td></tr><tr><td align="left" rowspan="1" colspan="1">45–49</td><td align="center" rowspan="1" colspan="1">77 (9.37)</td><td align="center" rowspan="1" colspan="1">47 (61.04)</td><td align="center" rowspan="1" colspan="1">35 (38.96)</td></tr><tr><td align="left" rowspan="1" colspan="1">50–54</td><td align="center" rowspan="1" colspan="1">105 (12.77)</td><td align="center" rowspan="1" colspan="1">69 (65.71)</td><td align="center" rowspan="1" colspan="1">36 (34.29)</td></tr><tr><td align="left" rowspan="1" colspan="1">55–59</td><td align="center" rowspan="1" colspan="1">77 (9.37)</td><td align="center" rowspan="1" colspan="1">43 (55.84)</td><td align="center" rowspan="1" colspan="1">34 (44.16)</td></tr><tr><td align="left" rowspan="1" colspan="1">60–64</td><td align="center" rowspan="1" colspan="1">94 (11.44)</td><td align="center" rowspan="1" colspan="1">56 (59.57)</td><td align="center" rowspan="1" colspan="1">38 (40.43)</td></tr><tr><td align="left" rowspan="1" colspan="1">65–69</td><td align="center" rowspan="1" colspan="1">62 (7.54)</td><td align="center" rowspan="1" colspan="1">33 (53.23)</td><td align="center" rowspan="1" colspan="1">29 (46.77)</td></tr><tr><td align="left" rowspan="1" colspan="1">70–74</td><td align="center" rowspan="1" colspan="1">42 (5.11)</td><td align="center" rowspan="1" colspan="1">23 (54.76)</td><td align="center" rowspan="1" colspan="1">19 (45.24)</td></tr><tr><td align="left" rowspan="1" colspan="1">75–79</td><td align="center" rowspan="1" colspan="1">37 (4.50)</td><td align="center" rowspan="1" colspan="1">21 (56.76)</td><td align="center" rowspan="1" colspan="1">16 (43.24)</td></tr><tr><td align="left" rowspan="1" colspan="1">80+</td><td align="center" rowspan="1" colspan="1">32 (3.89)</td><td align="center" rowspan="1" colspan="1">25 (78.13)</td><td align="center" rowspan="1" colspan="1">7 (21.88)</td></tr></tbody></table></table-wrap><table-wrap id="tab4" orientation="portrait" position="float"><label>Table 4</label><caption><p>Crude and adjusted relative risk of colon cancer among CRC patients.</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" align="left" colspan="1">Variable</th><th colspan="3" align="center" rowspan="1">Univariate analysis</th><th colspan="3" align="center" rowspan="1">Multivariable analysis</th></tr><tr><th align="center" rowspan="1" colspan="1">RR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th><th align="center" rowspan="1" colspan="1">ARR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><italic>Gender</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td align="center" rowspan="1" colspan="1">1.2027</td><td align="center" rowspan="1" colspan="1">[1.02, 1.41]</td><td align="center" rowspan="1" colspan="1">0.0252</td><td align="center" rowspan="1" colspan="1">0.18</td><td align="center" rowspan="1" colspan="1">[1.01, 1.39]</td><td align="center" rowspan="1" colspan="1">0.0428</td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="center" rowspan="1" colspan="1">Reference</td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Age (years)</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">15–19</td><td align="center" rowspan="1" colspan="1">2.46</td><td align="center" rowspan="1" colspan="1">[1.08, 5.62]</td><td align="center" rowspan="1" colspan="1"><bold>0.0325</bold></td><td align="center" rowspan="1" colspan="1">2.36</td><td align="center" rowspan="1" colspan="1">[1.04, 5.35]</td><td align="center" rowspan="1" colspan="1">0.0408</td></tr><tr><td align="left" rowspan="1" colspan="1">20–24</td><td align="center" rowspan="1" colspan="1">2.51</td><td align="center" rowspan="1" colspan="1">[1.21, 5.19]</td><td align="center" rowspan="1" colspan="1"><bold>0.0134</bold></td><td align="center" rowspan="1" colspan="1">2.43</td><td align="center" rowspan="1" colspan="1">[1.18, 5.01]</td><td align="center" rowspan="1" colspan="1">0.0162</td></tr><tr><td align="left" rowspan="1" colspan="1">25–29</td><td align="center" rowspan="1" colspan="1">2.29</td><td align="center" rowspan="1" colspan="1">[1.13, 4.64]</td><td align="center" rowspan="1" colspan="1"><bold>0.0219</bold></td><td align="center" rowspan="1" colspan="1">2.19</td><td align="center" rowspan="1" colspan="1">[1.09, 4.43]</td><td align="center" rowspan="1" colspan="1">0.0286</td></tr><tr><td align="left" rowspan="1" colspan="1">30–34</td><td align="center" rowspan="1" colspan="1">2.09</td><td align="center" rowspan="1" colspan="1">[1.03, 4.26]</td><td align="center" rowspan="1" colspan="1"><bold>0.042</bold></td><td align="center" rowspan="1" colspan="1">2.07</td><td align="center" rowspan="1" colspan="1">[1.02, 4.20]</td><td align="center" rowspan="1" colspan="1">0.0441</td></tr><tr><td align="left" rowspan="1" colspan="1">35–39</td><td align="center" rowspan="1" colspan="1">1.95</td><td align="center" rowspan="1" colspan="1">[0.95, 3.99]</td><td align="center" rowspan="1" colspan="1">0.068</td><td align="center" rowspan="1" colspan="1">1.98</td><td align="center" rowspan="1" colspan="1">[0.97, 4.05]</td><td align="center" rowspan="1" colspan="1">0.0604</td></tr><tr><td align="left" rowspan="1" colspan="1">40–44</td><td align="center" rowspan="1" colspan="1">1.82</td><td align="center" rowspan="1" colspan="1">[0.89, 3.69]</td><td align="center" rowspan="1" colspan="1">0.0991</td><td align="center" rowspan="1" colspan="1">1.83</td><td align="center" rowspan="1" colspan="1">[0.91, 3.72]</td><td align="center" rowspan="1" colspan="1">0.092</td></tr><tr><td align="left" rowspan="1" colspan="1">45–49</td><td align="center" rowspan="1" colspan="1">1.78</td><td align="center" rowspan="1" colspan="1">[0.87, 3.63]</td><td align="center" rowspan="1" colspan="1">0.1121</td><td align="center" rowspan="1" colspan="1">1.75</td><td align="center" rowspan="1" colspan="1">[0.86, 3.56]</td><td align="center" rowspan="1" colspan="1">0.1199</td></tr><tr><td align="left" rowspan="1" colspan="1">50–54</td><td align="center" rowspan="1" colspan="1">1.57</td><td align="center" rowspan="1" colspan="1">[0.77, 3.18]</td><td align="center" rowspan="1" colspan="1">0.2124</td><td align="center" rowspan="1" colspan="1">1.60</td><td align="center" rowspan="1" colspan="1">[0.79, 3.24]</td><td align="center" rowspan="1" colspan="1">0.1894</td></tr><tr><td align="left" rowspan="1" colspan="1">55–59</td><td align="center" rowspan="1" colspan="1">2.02</td><td align="center" rowspan="1" colspan="1">[1.00, 4.07]</td><td align="center" rowspan="1" colspan="1">0.0496</td><td align="center" rowspan="1" colspan="1">2.03</td><td align="center" rowspan="1" colspan="1">[1.01, 4.08]</td><td align="center" rowspan="1" colspan="1">0.0471</td></tr><tr><td align="left" rowspan="1" colspan="1">60–64</td><td align="center" rowspan="1" colspan="1">1.85</td><td align="center" rowspan="1" colspan="1">[0.92, 3.72]</td><td align="center" rowspan="1" colspan="1">0.0852</td><td align="center" rowspan="1" colspan="1">1.87</td><td align="center" rowspan="1" colspan="1">[0.93, 3.76]</td><td align="center" rowspan="1" colspan="1">0.0772</td></tr><tr><td align="left" rowspan="1" colspan="1">65–69</td><td align="center" rowspan="1" colspan="1">2.14</td><td align="center" rowspan="1" colspan="1">[1.05, 4.33]</td><td align="center" rowspan="1" colspan="1"><bold>0.035</bold></td><td align="center" rowspan="1" colspan="1">2.04</td><td align="center" rowspan="1" colspan="1">[1.01, 4.12]</td><td align="center" rowspan="1" colspan="1">0.0473</td></tr><tr><td align="left" rowspan="1" colspan="1">70–74</td><td align="center" rowspan="1" colspan="1">2.07</td><td align="center" rowspan="1" colspan="1">[0.99, 4.31]</td><td align="center" rowspan="1" colspan="1">0.0525</td><td align="center" rowspan="1" colspan="1">2.03</td><td align="center" rowspan="1" colspan="1">[0.98, 4.21]</td><td align="center" rowspan="1" colspan="1">0.0575</td></tr><tr><td align="left" rowspan="1" colspan="1">75–79</td><td align="center" rowspan="1" colspan="1">1.98</td><td align="center" rowspan="1" colspan="1">[0.93, 4.19]</td><td align="center" rowspan="1" colspan="1">0.0756</td><td align="center" rowspan="1" colspan="1">1.88</td><td align="center" rowspan="1" colspan="1">[0.89, 3.98]</td><td align="center" rowspan="1" colspan="1">0.0983</td></tr><tr><td align="left" rowspan="1" colspan="1">80+</td><td align="center" rowspan="1" colspan="1">Reference</td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">Time (years)</td><td align="center" rowspan="1" colspan="1">1.05</td><td align="center" rowspan="1" colspan="1">[1.01, 1.08]</td><td align="center" rowspan="1" colspan="1">0.0052</td><td align="center" rowspan="1" colspan="1">1.05 (0.02)</td><td align="center" rowspan="1" colspan="1">[1.01, 1.08]</td><td align="center" rowspan="1" colspan="1">0.0075</td></tr></tbody></table><table-wrap-foot><fn><p>Note: ARR refers to adjusted relative risk and SE stands for standard error of relative risk.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab5" orientation="portrait" position="float"><label>Table 5</label><caption><p>Crude and adjusted relative risk of rectal cancer among CRC patients.</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2" align="left" colspan="1">Variable</th><th colspan="3" align="center" rowspan="1">Univariate analysis</th><th colspan="3" align="center" rowspan="1">Multivariable analysis</th></tr><tr><th align="center" rowspan="1" colspan="1">RR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th><th align="center" rowspan="1" colspan="1">ARR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1"><italic>P</italic> value</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><italic>Sex</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">Male</td><td align="center" rowspan="1" colspan="1">0.88</td><td align="center" rowspan="1" colspan="1">[0.78, 0.98]</td><td align="center" rowspan="1" colspan="1">0.02480</td><td align="center" rowspan="1" colspan="1">0.91</td><td align="center" rowspan="1" colspan="1">[0.81, 1.02]</td><td align="center" rowspan="1" colspan="1">0.098</td></tr><tr><td align="left" rowspan="1" colspan="1">Female</td><td align="center" rowspan="1" colspan="1">Reference</td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1"><italic>Age (years)</italic></td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">15–19</td><td align="center" rowspan="1" colspan="1">0.59</td><td align="center" rowspan="1" colspan="1">[0.32, 1.09]</td><td align="center" rowspan="1" colspan="1">0.0935</td><td align="center" rowspan="1" colspan="1"> 0.62</td><td align="center" rowspan="1" colspan="1">[0.34, 1.14]</td><td align="center" rowspan="1" colspan="1">0.1238</td></tr><tr><td align="left" rowspan="1" colspan="1">20–24</td><td align="center" rowspan="1" colspan="1">0.58</td><td align="center" rowspan="1" colspan="1">[0.38, 0.89]</td><td align="center" rowspan="1" colspan="1">0.0123</td><td align="center" rowspan="1" colspan="1">0.59</td><td align="center" rowspan="1" colspan="1">[0.39, 0.91]</td><td align="center" rowspan="1" colspan="1"><bold>0.0167</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">25–29</td><td align="center" rowspan="1" colspan="1">0.64</td><td align="center" rowspan="1" colspan="1">[0.46, 0.88]</td><td align="center" rowspan="1" colspan="1">0.0069</td><td align="center" rowspan="1" colspan="1">0.65</td><td align="center" rowspan="1" colspan="1">[0.47, 0.90]</td><td align="center" rowspan="1" colspan="1"><bold>0.0088</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">30–34</td><td align="center" rowspan="1" colspan="1">0.69</td><td align="center" rowspan="1" colspan="1">[0.52, 0.93]</td><td align="center" rowspan="1" colspan="1">0.0162</td><td align="center" rowspan="1" colspan="1">0.70</td><td align="center" rowspan="1" colspan="1">[0.52, 0.94]</td><td align="center" rowspan="1" colspan="1"><bold>0.0173</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">35–39</td><td align="center" rowspan="1" colspan="1">0.73</td><td align="center" rowspan="1" colspan="1">[0.55, 0.98]</td><td align="center" rowspan="1" colspan="1">0.0329</td><td align="center" rowspan="1" colspan="1">0.74</td><td align="center" rowspan="1" colspan="1">[0.56, 0.97]</td><td align="center" rowspan="1" colspan="1"><bold>0.0316</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">40–44</td><td align="center" rowspan="1" colspan="1">0.77</td><td align="center" rowspan="1" colspan="1">[0.60, 1.00]</td><td align="center" rowspan="1" colspan="1">0.0477</td><td align="center" rowspan="1" colspan="1">0.79</td><td align="center" rowspan="1" colspan="1">[0.61, 1.01]</td><td align="center" rowspan="1" colspan="1">0.0608</td></tr><tr><td align="left" rowspan="1" colspan="1">45–49</td><td align="center" rowspan="1" colspan="1">0.78</td><td align="center" rowspan="1" colspan="1">[0.60, 1.01]</td><td align="center" rowspan="1" colspan="1">0.0587</td><td align="center" rowspan="1" colspan="1">0.78</td><td align="center" rowspan="1" colspan="1">[0.61, 1.00]</td><td align="center" rowspan="1" colspan="1"><bold>0.0472</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">50–54</td><td align="center" rowspan="1" colspan="1">0.84</td><td align="center" rowspan="1" colspan="1">[0.67, 1.06]</td><td align="center" rowspan="1" colspan="1">0.1397</td><td align="center" rowspan="1" colspan="1">0.83</td><td align="center" rowspan="1" colspan="1">[0.67, 1.04]</td><td align="center" rowspan="1" colspan="1">0.1041</td></tr><tr><td align="left" rowspan="1" colspan="1">55–59</td><td align="center" rowspan="1" colspan="1">0.71</td><td align="center" rowspan="1" colspan="1">[0.55, 0.94]</td><td align="center" rowspan="1" colspan="1">0.0149</td><td align="center" rowspan="1" colspan="1">0.73</td><td align="center" rowspan="1" colspan="1">[0.56, 0.95]</td><td align="center" rowspan="1" colspan="1"><bold>0.0212</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">60–64</td><td align="center" rowspan="1" colspan="1">0.76</td><td align="center" rowspan="1" colspan="1">[0.60, 0.98]</td><td align="center" rowspan="1" colspan="1">0.0319</td><td align="center" rowspan="1" colspan="1">0.79</td><td align="center" rowspan="1" colspan="1">[0.62, 1.00]</td><td align="center" rowspan="1" colspan="1">0.0515</td></tr><tr><td align="left" rowspan="1" colspan="1">65–69</td><td align="center" rowspan="1" colspan="1">0.68</td><td align="center" rowspan="1" colspan="1">[0.51, 0.92]</td><td align="center" rowspan="1" colspan="1">0.0113</td><td align="center" rowspan="1" colspan="1">0.69</td><td align="center" rowspan="1" colspan="1">[0.51, 0.92]</td><td align="center" rowspan="1" colspan="1"><bold>0.0106</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">70–74</td><td align="center" rowspan="1" colspan="1">0.70</td><td align="center" rowspan="1" colspan="1">[0.50, 0.98]</td><td align="center" rowspan="1" colspan="1">0.0351</td><td align="center" rowspan="1" colspan="1">0.71</td><td align="center" rowspan="1" colspan="1">[0.51, 0.98]</td><td align="center" rowspan="1" colspan="1"><bold>0.0358</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">75–79</td><td align="center" rowspan="1" colspan="1">0.73</td><td align="center" rowspan="1" colspan="1">[0.52, 1.02]</td><td align="center" rowspan="1" colspan="1">0.0621</td><td align="center" rowspan="1" colspan="1">0.71</td><td align="center" rowspan="1" colspan="1">[0.51, 0.99]</td><td align="center" rowspan="1" colspan="1"><bold>0.0431</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">80+</td><td align="center" rowspan="1" colspan="1">Reference</td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td><td align="center" rowspan="1" colspan="1"> </td></tr><tr><td align="left" rowspan="1" colspan="1">Time (years)</td><td align="center" rowspan="1" colspan="1">0.97</td><td align="center" rowspan="1" colspan="1">[0.95, 0.99]</td><td align="center" rowspan="1" colspan="1">0.0069</td><td align="center" rowspan="1" colspan="1">0.97</td><td align="center" rowspan="1" colspan="1">[0.95, 0.99]</td><td align="center" rowspan="1" colspan="1">0.0047</td></tr></tbody></table></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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