Symptom Variability and Early Symptom Regression in the MAPP Study: A Prospective Study of Urological Chronic Pelvic Pain Syndrome.
Identifieur interne : 000154 ( Ncbi/Merge ); précédent : 000153; suivant : 000155Symptom Variability and Early Symptom Regression in the MAPP Study: A Prospective Study of Urological Chronic Pelvic Pain Syndrome.
Auteurs : Alisa J. Stephens-Shields [États-Unis] ; J Quentin Clemens [États-Unis] ; Thomas Jemielita [États-Unis] ; John Farrar [États-Unis] ; Siobhan Sutcliffe [États-Unis] ; Xiaoling Hou [États-Unis] ; J Richard Landis [États-Unis]Source :
- The Journal of urology [ 1527-3792 ] ; 2016.
Abstract
We examined symptom variability in men and women with urological chronic pelvic pain syndrome. We describe symptom fluctuations as related to early symptom regression and its effect on estimated 1-year symptom change. We also describe a method to quantify patient specific symptom variability.
DOI: 10.1016/j.juro.2016.04.070
PubMed: 27131464
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Stephens-Shields</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: alisaste@mail.med.upenn.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Clemens, J Quentin" sort="Clemens, J Quentin" uniqKey="Clemens J" first="J Quentin" last="Clemens">J Quentin Clemens</name><affiliation wicri:level="2"><nlm:affiliation>Department of Urology, University of Michigan, Ann Arbor, Michigan.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Michigan</region></placeName><wicri:cityArea>Department of Urology, University of Michigan, Ann Arbor</wicri:cityArea></affiliation></author><author><name sortKey="Jemielita, Thomas" sort="Jemielita, Thomas" uniqKey="Jemielita T" first="Thomas" last="Jemielita">Thomas Jemielita</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Farrar, John" sort="Farrar, John" uniqKey="Farrar J" first="John" last="Farrar">John Farrar</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Sutcliffe, Siobhan" sort="Sutcliffe, Siobhan" uniqKey="Sutcliffe S" first="Siobhan" last="Sutcliffe">Siobhan Sutcliffe</name><affiliation wicri:level="2"><nlm:affiliation>Department of Surgery, Washington University, St. Louis, Missouri.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Department of Surgery, Washington University, St. Louis</wicri:cityArea></affiliation></author><author><name sortKey="Hou, Xiaoling" sort="Hou, Xiaoling" uniqKey="Hou X" first="Xiaoling" last="Hou">Xiaoling Hou</name><affiliation wicri:level="2"><nlm:affiliation>Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author><author><name sortKey="Landis, J Richard" sort="Landis, J Richard" uniqKey="Landis J" first="J Richard" last="Landis">J Richard Landis</name><affiliation wicri:level="2"><nlm:affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName><wicri:cityArea>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia</wicri:cityArea></affiliation></author></analytic><series><title level="j">The Journal of urology</title><idno type="eISSN">1527-3792</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We examined symptom variability in men and women with urological chronic pelvic pain syndrome. We describe symptom fluctuations as related to early symptom regression and its effect on estimated 1-year symptom change. We also describe a method to quantify patient specific symptom variability.</div></front></TEI><pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">27131464</PMID><DateCreated><Year>2016</Year><Month>09</Month><Day>26</Day></DateCreated><DateRevised><Year>2016</Year><Month>10</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1527-3792</ISSN><JournalIssue CitedMedium="Internet"><Volume>196</Volume><Issue>5</Issue><PubDate><Year>2016</Year><Month>Nov</Month></PubDate></JournalIssue><Title>The Journal of urology</Title><ISOAbbreviation>J. Urol.</ISOAbbreviation></Journal><ArticleTitle>Symptom Variability and Early Symptom Regression in the MAPP Study: A Prospective Study of Urological Chronic Pelvic Pain Syndrome.</ArticleTitle><Pagination><MedlinePgn>1450-1455</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0022-5347(16)30310-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.juro.2016.04.070</ELocationID><Abstract><AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">We examined symptom variability in men and women with urological chronic pelvic pain syndrome. We describe symptom fluctuations as related to early symptom regression and its effect on estimated 1-year symptom change. We also describe a method to quantify patient specific symptom variability.</AbstractText><AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">Symptoms were assessed biweekly in 424 subjects with urological chronic pelvic pain syndrome during 1 year. To evaluate the impact of early symptom regression subjects were classified as improved, no change or worse according to the rate of change using 1) all data, 2) excluding week 0 and 3) excluding weeks 0 and 2. Patient specific, time varying variability was calculated at each interval using a sliding window approach. Patients were classified as high, medium or low variability at each time and ultimately as high or low variability overall based on the variability for the majority of contacts.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Prior to excluding early weeks to adjust for early symptom regression 25% to 38% and 5% to 6% of patients were classified as improved and worse, respectively. After adjustment the percent of patients who were improved or worse ranged from 15% to 25% and 6% to 9%, respectively. High and low variability phenotypes were each identified in 25% to 30% of participants.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Patients with urological chronic pelvic pain syndrome show symptom variability. At study enrollment patients had worse symptoms on average, resulting in a regression effect that influenced the estimated proportion of those who were improved or worse. Prospective studies should include a run-in period to account for regression to the mean and other causes of early symptom regression. Further, symptom variability may be quantified and used to characterize longitudinal symptom profiles of urological chronic pelvic pain syndrome.</AbstractText><CopyrightInformation>Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Stephens-Shields</LastName><ForeName>Alisa J</ForeName><Initials>AJ</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: alisaste@mail.med.upenn.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Clemens</LastName><ForeName>J Quentin</ForeName><Initials>JQ</Initials><AffiliationInfo><Affiliation>Department of Urology, University of Michigan, Ann Arbor, Michigan.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jemielita</LastName><ForeName>Thomas</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Farrar</LastName><ForeName>John</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sutcliffe</LastName><ForeName>Siobhan</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Surgery, Washington University, St. Louis, Missouri.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hou</LastName><ForeName>Xiaoling</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Landis</LastName><ForeName>J Richard</ForeName><Initials>JR</Initials><AffiliationInfo><Affiliation>Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>MAPP Research Network</CollectiveName></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>U01 DK082345</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082315</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082316</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082344</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082333</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082325</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082370</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>U01 DK082342</GrantID><Acronym>DK</Acronym><Agency>NIDDK NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>04</Month><Day>27</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Urol</MedlineTA><NlmUniqueID>0376374</NlmUniqueID><ISSNLinking>0022-5347</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">cystitis</Keyword><Keyword MajorTopicYN="N">epidemiologic research design</Keyword><Keyword MajorTopicYN="N">interstitial</Keyword><Keyword MajorTopicYN="N">pain</Keyword><Keyword MajorTopicYN="N">prostate</Keyword><Keyword MajorTopicYN="N">symptom assessment</Keyword></KeywordList><InvestigatorList><Investigator ValidYN="Y"><LastName>Clemens</LastName><ForeName>J Quentin</ForeName><Initials>JQ</Initials></Investigator><Investigator 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Stephens-Shields</name></region><name sortKey="Clemens, J Quentin" sort="Clemens, J Quentin" uniqKey="Clemens J" first="J Quentin" last="Clemens">J Quentin Clemens</name><name sortKey="Farrar, John" sort="Farrar, John" uniqKey="Farrar J" first="John" last="Farrar">John Farrar</name><name sortKey="Hou, Xiaoling" sort="Hou, Xiaoling" uniqKey="Hou X" first="Xiaoling" last="Hou">Xiaoling Hou</name><name sortKey="Jemielita, Thomas" sort="Jemielita, Thomas" uniqKey="Jemielita T" first="Thomas" last="Jemielita">Thomas Jemielita</name><name sortKey="Landis, J Richard" sort="Landis, J Richard" uniqKey="Landis J" first="J Richard" last="Landis">J Richard Landis</name><name sortKey="Sutcliffe, Siobhan" sort="Sutcliffe, Siobhan" uniqKey="Sutcliffe S" first="Siobhan" last="Sutcliffe">Siobhan Sutcliffe</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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