Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care

Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:BioMed research international 2015-01, Vol.2015 (2015), p.1-8
Hauptverfasser: Di Carlo, Marco, Gutierrez, Marwin, Carotti, Marina, Salaffi, Fausto, De Angelis, Rossella
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 8
container_issue 2015
container_start_page 1
container_title BioMed research international
container_volume 2015
creator Di Carlo, Marco
Gutierrez, Marwin
Carotti, Marina
Salaffi, Fausto
De Angelis, Rossella
description Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment to PASS were compared. Contributors to physician response were estimated by logistic regression models and PASS thresholds by the 75th percentile and receiver-operating characteristic (ROC) curve methods. Results. 303 RA patients completed the study. All PROs were different between the PASS (+) and PASS (−) groups ( p < 0.0001 ). The thresholds with the 75th percentile approach were 2.0 for the RA Impact of Disease (RAID) score, 2.5 for the PRO-CLinical ARthritis Activity (PRO-CLARA) index, and 1.0 for the Recent-Onset Arthritis Disability (ROAD) questionnaire. The cut-off values for Clinical Disease Activity Index (CDAI) were in the moderate range of disease activity. Assessing the size of the logistic regression coefficients, the strongest predictors of PASS were the disease activity ( p = 0.0007 ) and functional state level (0.006). Conclusion. PASS thresholds were relatively high and many patients in PASS had moderate disease activity states according to CDAI. Factors such as disease activity and physical function may influence a negative PASS.
doi_str_mv 10.1155/2015/930756
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4488523</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A458163892</galeid><sourcerecordid>A458163892</sourcerecordid><originalsourceid>FETCH-LOGICAL-c561t-4c66c57d03d4b136fe0354a0cbe0e7182c31834e641fa79b7108168e2643ca943</originalsourceid><addsrcrecordid>eNqNkktv1DAUhSMEolXpij2yxAaBQu34kYQF0mh4jVSpZQbWlse5mXGV2KntFObv8ctwmDIUNtQbW_Knc4-PT5Y9Jfg1IZyfFZjws5rikosH2XFBCcsFYeTh4UzpUXYawhVOqyIC1-JxdlQIIkqOxXH241JFAzaimdYwRLXuAK12_RBdj1ZRRUDGohV0bb6EwfmIPo8QonHWKuMhIGUbNHf94IJJ7Lwz1mjVoXcmgAqAFraB76h1Hs1CgBCM3aDlFsZeRWcaNPNx6000IY2P5sbE3Ru0aJId0yaZaQxyLZqPMb9oW3TpjI3hl9rSjdHYNFB5eJI9alUX4PR2P8m-fnj_Zf4pP7_4uJjPznPNBYk500JoXjaYNmxNqGgBU84U1mvAUJKq0JRUlIFgpFVlvS7JlFcFhWBUq5rRk-ztXncY1z00Otn0qpODN73yO-mUkX_fWLOVG3cjGasqXtAk8OJWwLvrKUbZm6Ch65QFNwZJSopx8lrye6CYsCr9dPl_VNSC1GVBSEKf_4NeudHbFNpEES4SWv-hNqoDaWzr0mv0JCpnjKdMaFUXiXq1p7R3IXhoD0EQLKdqyqmacl_NRD-7m92B_V3EBLzcA1tjG_XN3E8NEgKtugPzsqg4_QnWC_Wq</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1691566969</pqid></control><display><type>article</type><title>Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care</title><source>MEDLINE</source><source>PubMed Central Open Access</source><source>Wiley-Blackwell Open Access Titles</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Di Carlo, Marco ; Gutierrez, Marwin ; Carotti, Marina ; Salaffi, Fausto ; De Angelis, Rossella</creator><contributor>Kotake, Shigeru</contributor><creatorcontrib>Di Carlo, Marco ; Gutierrez, Marwin ; Carotti, Marina ; Salaffi, Fausto ; De Angelis, Rossella ; Kotake, Shigeru</creatorcontrib><description>Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment to PASS were compared. Contributors to physician response were estimated by logistic regression models and PASS thresholds by the 75th percentile and receiver-operating characteristic (ROC) curve methods. Results. 303 RA patients completed the study. All PROs were different between the PASS (+) and PASS (−) groups ( p &lt; 0.0001 ). The thresholds with the 75th percentile approach were 2.0 for the RA Impact of Disease (RAID) score, 2.5 for the PRO-CLinical ARthritis Activity (PRO-CLARA) index, and 1.0 for the Recent-Onset Arthritis Disability (ROAD) questionnaire. The cut-off values for Clinical Disease Activity Index (CDAI) were in the moderate range of disease activity. Assessing the size of the logistic regression coefficients, the strongest predictors of PASS were the disease activity ( p = 0.0007 ) and functional state level (0.006). Conclusion. PASS thresholds were relatively high and many patients in PASS had moderate disease activity states according to CDAI. Factors such as disease activity and physical function may influence a negative PASS.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2015/930756</identifier><identifier>PMID: 26167506</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Acceptability ; Arthritis ; Arthritis, Rheumatoid - classification ; Arthritis, Rheumatoid - epidemiology ; Arthritis, Rheumatoid - physiopathology ; Biomedical research ; Cross-Sectional Studies ; Cut-off ; Diagnosis ; Female ; Humans ; Logistics ; Male ; Mathematical models ; Methods ; Patients ; Questionnaires ; Rheumatoid arthritis ; ROC Curve ; Self Report ; Severity of Illness Index ; Surveys ; Surveys and Questionnaires ; Thresholds</subject><ispartof>BioMed research international, 2015-01, Vol.2015 (2015), p.1-8</ispartof><rights>Copyright © 2015 Fausto Salaffi et al.</rights><rights>COPYRIGHT 2015 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2015 Fausto Salaffi et al. Fausto Salaffi et al. 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.</rights><rights>Copyright © 2015 Fausto Salaffi et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c561t-4c66c57d03d4b136fe0354a0cbe0e7182c31834e641fa79b7108168e2643ca943</citedby><cites>FETCH-LOGICAL-c561t-4c66c57d03d4b136fe0354a0cbe0e7182c31834e641fa79b7108168e2643ca943</cites><orcidid>0000-0002-7995-1110</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488523/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4488523/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26167506$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kotake, Shigeru</contributor><creatorcontrib>Di Carlo, Marco</creatorcontrib><creatorcontrib>Gutierrez, Marwin</creatorcontrib><creatorcontrib>Carotti, Marina</creatorcontrib><creatorcontrib>Salaffi, Fausto</creatorcontrib><creatorcontrib>De Angelis, Rossella</creatorcontrib><title>Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment to PASS were compared. Contributors to physician response were estimated by logistic regression models and PASS thresholds by the 75th percentile and receiver-operating characteristic (ROC) curve methods. Results. 303 RA patients completed the study. All PROs were different between the PASS (+) and PASS (−) groups ( p &lt; 0.0001 ). The thresholds with the 75th percentile approach were 2.0 for the RA Impact of Disease (RAID) score, 2.5 for the PRO-CLinical ARthritis Activity (PRO-CLARA) index, and 1.0 for the Recent-Onset Arthritis Disability (ROAD) questionnaire. The cut-off values for Clinical Disease Activity Index (CDAI) were in the moderate range of disease activity. Assessing the size of the logistic regression coefficients, the strongest predictors of PASS were the disease activity ( p = 0.0007 ) and functional state level (0.006). Conclusion. PASS thresholds were relatively high and many patients in PASS had moderate disease activity states according to CDAI. Factors such as disease activity and physical function may influence a negative PASS.</description><subject>Acceptability</subject><subject>Arthritis</subject><subject>Arthritis, Rheumatoid - classification</subject><subject>Arthritis, Rheumatoid - epidemiology</subject><subject>Arthritis, Rheumatoid - physiopathology</subject><subject>Biomedical research</subject><subject>Cross-Sectional Studies</subject><subject>Cut-off</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Humans</subject><subject>Logistics</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Patients</subject><subject>Questionnaires</subject><subject>Rheumatoid arthritis</subject><subject>ROC Curve</subject><subject>Self Report</subject><subject>Severity of Illness Index</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Thresholds</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkktv1DAUhSMEolXpij2yxAaBQu34kYQF0mh4jVSpZQbWlse5mXGV2KntFObv8ctwmDIUNtQbW_Knc4-PT5Y9Jfg1IZyfFZjws5rikosH2XFBCcsFYeTh4UzpUXYawhVOqyIC1-JxdlQIIkqOxXH241JFAzaimdYwRLXuAK12_RBdj1ZRRUDGohV0bb6EwfmIPo8QonHWKuMhIGUbNHf94IJJ7Lwz1mjVoXcmgAqAFraB76h1Hs1CgBCM3aDlFsZeRWcaNPNx6000IY2P5sbE3Ru0aJId0yaZaQxyLZqPMb9oW3TpjI3hl9rSjdHYNFB5eJI9alUX4PR2P8m-fnj_Zf4pP7_4uJjPznPNBYk500JoXjaYNmxNqGgBU84U1mvAUJKq0JRUlIFgpFVlvS7JlFcFhWBUq5rRk-ztXncY1z00Otn0qpODN73yO-mUkX_fWLOVG3cjGasqXtAk8OJWwLvrKUbZm6Ch65QFNwZJSopx8lrye6CYsCr9dPl_VNSC1GVBSEKf_4NeudHbFNpEES4SWv-hNqoDaWzr0mv0JCpnjKdMaFUXiXq1p7R3IXhoD0EQLKdqyqmacl_NRD-7m92B_V3EBLzcA1tjG_XN3E8NEgKtugPzsqg4_QnWC_Wq</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Di Carlo, Marco</creator><creator>Gutierrez, Marwin</creator><creator>Carotti, Marina</creator><creator>Salaffi, Fausto</creator><creator>De Angelis, Rossella</creator><general>Hindawi Publishing Corporation</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7SR</scope><scope>7U5</scope><scope>F28</scope><scope>JG9</scope><scope>L7M</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7995-1110</orcidid></search><sort><creationdate>20150101</creationdate><title>Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care</title><author>Di Carlo, Marco ; Gutierrez, Marwin ; Carotti, Marina ; Salaffi, Fausto ; De Angelis, Rossella</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c561t-4c66c57d03d4b136fe0354a0cbe0e7182c31834e641fa79b7108168e2643ca943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Acceptability</topic><topic>Arthritis</topic><topic>Arthritis, Rheumatoid - classification</topic><topic>Arthritis, Rheumatoid - epidemiology</topic><topic>Arthritis, Rheumatoid - physiopathology</topic><topic>Biomedical research</topic><topic>Cross-Sectional Studies</topic><topic>Cut-off</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Humans</topic><topic>Logistics</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Patients</topic><topic>Questionnaires</topic><topic>Rheumatoid arthritis</topic><topic>ROC Curve</topic><topic>Self Report</topic><topic>Severity of Illness Index</topic><topic>Surveys</topic><topic>Surveys and Questionnaires</topic><topic>Thresholds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Di Carlo, Marco</creatorcontrib><creatorcontrib>Gutierrez, Marwin</creatorcontrib><creatorcontrib>Carotti, Marina</creatorcontrib><creatorcontrib>Salaffi, Fausto</creatorcontrib><creatorcontrib>De Angelis, Rossella</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Carlo, Marco</au><au>Gutierrez, Marwin</au><au>Carotti, Marina</au><au>Salaffi, Fausto</au><au>De Angelis, Rossella</au><au>Kotake, Shigeru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>2015</volume><issue>2015</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Objective. To provide information on the value of Patient Acceptable Symptom State (PASS) in rheumatoid arthritis (RA) by the identification of PASS thresholds for patient-reported outcomes (PROs) composite scores. Methods. The characteristics of RA patients with affirmative and negative assignment to PASS were compared. Contributors to physician response were estimated by logistic regression models and PASS thresholds by the 75th percentile and receiver-operating characteristic (ROC) curve methods. Results. 303 RA patients completed the study. All PROs were different between the PASS (+) and PASS (−) groups ( p &lt; 0.0001 ). The thresholds with the 75th percentile approach were 2.0 for the RA Impact of Disease (RAID) score, 2.5 for the PRO-CLinical ARthritis Activity (PRO-CLARA) index, and 1.0 for the Recent-Onset Arthritis Disability (ROAD) questionnaire. The cut-off values for Clinical Disease Activity Index (CDAI) were in the moderate range of disease activity. Assessing the size of the logistic regression coefficients, the strongest predictors of PASS were the disease activity ( p = 0.0007 ) and functional state level (0.006). Conclusion. PASS thresholds were relatively high and many patients in PASS had moderate disease activity states according to CDAI. Factors such as disease activity and physical function may influence a negative PASS.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>26167506</pmid><doi>10.1155/2015/930756</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7995-1110</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2314-6133
ispartof BioMed research international, 2015-01, Vol.2015 (2015), p.1-8
issn 2314-6133
2314-6141
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4488523
source MEDLINE; PubMed Central Open Access; Wiley-Blackwell Open Access Titles; PubMed Central; Alma/SFX Local Collection
subjects Acceptability
Arthritis
Arthritis, Rheumatoid - classification
Arthritis, Rheumatoid - epidemiology
Arthritis, Rheumatoid - physiopathology
Biomedical research
Cross-Sectional Studies
Cut-off
Diagnosis
Female
Humans
Logistics
Male
Mathematical models
Methods
Patients
Questionnaires
Rheumatoid arthritis
ROC Curve
Self Report
Severity of Illness Index
Surveys
Surveys and Questionnaires
Thresholds
title Patient Acceptable Symptom State in Self-Report Questionnaires and Composite Clinical Disease Index for Assessing Rheumatoid Arthritis Activity: Identification of Cut-Off Points for Routine Care
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T20%3A13%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Patient%20Acceptable%20Symptom%20State%20in%20Self-Report%20Questionnaires%20and%20Composite%20Clinical%20Disease%20Index%20for%20Assessing%20Rheumatoid%20Arthritis%20Activity:%20Identification%20of%20Cut-Off%20Points%20for%20Routine%20Care&rft.jtitle=BioMed%20research%20international&rft.au=Di%20Carlo,%20Marco&rft.date=2015-01-01&rft.volume=2015&rft.issue=2015&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.issn=2314-6133&rft.eissn=2314-6141&rft_id=info:doi/10.1155/2015/930756&rft_dat=%3Cgale_pubme%3EA458163892%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1691566969&rft_id=info:pmid/26167506&rft_galeid=A458163892&rfr_iscdi=true