A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.jclinepi.2017.05.017 http://hdl.handle.net/11449/159845 |
Resumo: | Objective: To assess analytic approaches randomized controlled trial (RCT) authors use to address missing participant data (MPD) for patient-important continuous outcomes. Study Design and Setting: We conducted a systematic survey of RCTs published in 2014 in the core clinical journals that reported at least one patient-important outcome analyzed as a continuous variable. Results: Among 200 studies, 187 (93.5%) trials explicitly reported whether MPD occurred. In the 163 (81.5%) trials that reported the occurrence of MPD, the median and interquartile ranges of the percentage of participants with MPD were 11.4% (2.5%-22.6%).Among the 147 trials in which authors made clear their analytical approach to MPD, the approaches chosen included available data only (109, 67%); mixed-effect models (10, 6.1%); multiple imputation (9, 4.5%); and last observation carried forward (9, 4.5). Of the 163 studies reporting MPD, 16 (9.8%) conducted sensitivity analyses examining the impact of the MPD and (18, 11.1%) discussed the risk of bias associated with MPD. Conclusion: RCTs reporting continuous outcomes typically have over 10% of participant data missing. Most RCTs failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias. (C) 2017 Elsevier Inc. All rights reserved. |
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A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trialsMissing participant dataContinuous outcomeAnalytic approachesMPDRandomized controlled trialsLost to follow-upObjective: To assess analytic approaches randomized controlled trial (RCT) authors use to address missing participant data (MPD) for patient-important continuous outcomes. Study Design and Setting: We conducted a systematic survey of RCTs published in 2014 in the core clinical journals that reported at least one patient-important outcome analyzed as a continuous variable. Results: Among 200 studies, 187 (93.5%) trials explicitly reported whether MPD occurred. In the 163 (81.5%) trials that reported the occurrence of MPD, the median and interquartile ranges of the percentage of participants with MPD were 11.4% (2.5%-22.6%).Among the 147 trials in which authors made clear their analytical approach to MPD, the approaches chosen included available data only (109, 67%); mixed-effect models (10, 6.1%); multiple imputation (9, 4.5%); and last observation carried forward (9, 4.5). Of the 163 studies reporting MPD, 16 (9.8%) conducted sensitivity analyses examining the impact of the MPD and (18, 11.1%) discussed the risk of bias associated with MPD. Conclusion: RCTs reporting continuous outcomes typically have over 10% of participant data missing. Most RCTs failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias. (C) 2017 Elsevier Inc. All rights reserved.McMaster Univ, Dept Hlth Res Methods Evidence & Impact, Hamilton, ON, CanadaChina Acad Chinese Med Sci, Guanganmen Hosp, Beijing, Peoples R ChinaUniv Antioquia, Dept Pediat, Medellin, ColombiaHosp Angeles del Carmen, Dept Crit Care, Guadalajara, Jalisco, MexicoSingapore Gen Hosp, Nursing Div, Singapore, SingaporeUniv Toronto, Dept Diagnost Radiol, Toronto, ON, CanadaMichael G DeGroote Natl Pain Ctr, Dept Anesthesiol, Hamilton, ON, CanadaGSK, Med Affairs, Hlth Econ & Outcomes Res, Mississauga, ON, CanadaUniv Toronto, Fac Med, Toronto, ON, CanadaUniv Sorocaba, Dept Pharmaceut Sci, Sao Paulo, BrazilUniv Estadual Paulista, Dept Pharmaceut Sci, Sao Paulo, BrazilMcMaster Univ, Dept Family Med, Hamilton, ON, CanadaBeijing Univ Chinese Med, Ctr Evidence Based Chinese Med, Chaoyang Qu, Peoples R ChinaUniv Chile, Evidence Based Dent Unit, Santiago, Region Metropol, ChileUniv Chile, Dept Oral & Maxillofacial Surg, Santiago, Region Metropol, ChileAmer Univ Beirut, Dept Internal Med, Beirut, LebanonDept Med, Hamilton, ON, CanadaDept Hlth Res Methods Evidence & Impact, Hamilton, ON, CanadaUniv Estadual Paulista, Dept Pharmaceut Sci, Sao Paulo, BrazilElsevier B.V.McMaster UnivChina Acad Chinese Med SciUniv AntioquiaHosp Angeles del CarmenSingapore Gen HospUniv TorontoMichael G DeGroote Natl Pain CtrGSKUniv SorocabaUniversidade Estadual Paulista (Unesp)Beijing Univ Chinese MedUniv ChileAmer Univ BeirutDept MedDept Hlth Res Methods Evidence & ImpactZhang, YuqingFlorez, Ivan D.Colunga Lozano, Luis E.Aloweni, Fazila Abu BakarKennedy, Sean AlexanderLi, AihuaCraigie, SamanthaZhang, ShiyuanAgarwal, ArnavLopes, Lucian C. [UNESP]Devji, TahiraWiercioch, WojtekRiva, John J.Wang, MengxiaoJin, XuejingFei, YutongAlexander, PaulMorgano, Gian PaoloZhang, YuanCarrasco-Labra, AlonsoKahale, Lara A.Akl, Elie A.Schunemann, Holger J.Thabane, LehanaGuyatt, Gordon H.2018-11-26T15:45:27Z2018-11-26T15:45:27Z2017-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article57-66application/pdfhttp://dx.doi.org/10.1016/j.jclinepi.2017.05.017Journal Of Clinical Epidemiology. New York: Elsevier Science Inc, v. 88, p. 57-66, 2017.0895-4356http://hdl.handle.net/11449/15984510.1016/j.jclinepi.2017.05.017WOS:000411916500010WOS000411916500010.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Clinical Epidemiology2,862info:eu-repo/semantics/openAccess2023-12-17T06:17:12Zoai:repositorio.unesp.br:11449/159845Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:32:47.607546Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
title |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
spellingShingle |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials Zhang, Yuqing Missing participant data Continuous outcome Analytic approaches MPD Randomized controlled trials Lost to follow-up |
title_short |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
title_full |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
title_fullStr |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
title_full_unstemmed |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
title_sort |
A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials |
author |
Zhang, Yuqing |
author_facet |
Zhang, Yuqing Florez, Ivan D. Colunga Lozano, Luis E. Aloweni, Fazila Abu Bakar Kennedy, Sean Alexander Li, Aihua Craigie, Samantha Zhang, Shiyuan Agarwal, Arnav Lopes, Lucian C. [UNESP] Devji, Tahira Wiercioch, Wojtek Riva, John J. Wang, Mengxiao Jin, Xuejing Fei, Yutong Alexander, Paul Morgano, Gian Paolo Zhang, Yuan Carrasco-Labra, Alonso Kahale, Lara A. Akl, Elie A. Schunemann, Holger J. Thabane, Lehana Guyatt, Gordon H. |
author_role |
author |
author2 |
Florez, Ivan D. Colunga Lozano, Luis E. Aloweni, Fazila Abu Bakar Kennedy, Sean Alexander Li, Aihua Craigie, Samantha Zhang, Shiyuan Agarwal, Arnav Lopes, Lucian C. [UNESP] Devji, Tahira Wiercioch, Wojtek Riva, John J. Wang, Mengxiao Jin, Xuejing Fei, Yutong Alexander, Paul Morgano, Gian Paolo Zhang, Yuan Carrasco-Labra, Alonso Kahale, Lara A. Akl, Elie A. Schunemann, Holger J. Thabane, Lehana Guyatt, Gordon H. |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
McMaster Univ China Acad Chinese Med Sci Univ Antioquia Hosp Angeles del Carmen Singapore Gen Hosp Univ Toronto Michael G DeGroote Natl Pain Ctr GSK Univ Sorocaba Universidade Estadual Paulista (Unesp) Beijing Univ Chinese Med Univ Chile Amer Univ Beirut Dept Med Dept Hlth Res Methods Evidence & Impact |
dc.contributor.author.fl_str_mv |
Zhang, Yuqing Florez, Ivan D. Colunga Lozano, Luis E. Aloweni, Fazila Abu Bakar Kennedy, Sean Alexander Li, Aihua Craigie, Samantha Zhang, Shiyuan Agarwal, Arnav Lopes, Lucian C. [UNESP] Devji, Tahira Wiercioch, Wojtek Riva, John J. Wang, Mengxiao Jin, Xuejing Fei, Yutong Alexander, Paul Morgano, Gian Paolo Zhang, Yuan Carrasco-Labra, Alonso Kahale, Lara A. Akl, Elie A. Schunemann, Holger J. Thabane, Lehana Guyatt, Gordon H. |
dc.subject.por.fl_str_mv |
Missing participant data Continuous outcome Analytic approaches MPD Randomized controlled trials Lost to follow-up |
topic |
Missing participant data Continuous outcome Analytic approaches MPD Randomized controlled trials Lost to follow-up |
description |
Objective: To assess analytic approaches randomized controlled trial (RCT) authors use to address missing participant data (MPD) for patient-important continuous outcomes. Study Design and Setting: We conducted a systematic survey of RCTs published in 2014 in the core clinical journals that reported at least one patient-important outcome analyzed as a continuous variable. Results: Among 200 studies, 187 (93.5%) trials explicitly reported whether MPD occurred. In the 163 (81.5%) trials that reported the occurrence of MPD, the median and interquartile ranges of the percentage of participants with MPD were 11.4% (2.5%-22.6%).Among the 147 trials in which authors made clear their analytical approach to MPD, the approaches chosen included available data only (109, 67%); mixed-effect models (10, 6.1%); multiple imputation (9, 4.5%); and last observation carried forward (9, 4.5). Of the 163 studies reporting MPD, 16 (9.8%) conducted sensitivity analyses examining the impact of the MPD and (18, 11.1%) discussed the risk of bias associated with MPD. Conclusion: RCTs reporting continuous outcomes typically have over 10% of participant data missing. Most RCTs failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias. (C) 2017 Elsevier Inc. All rights reserved. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08-01 2018-11-26T15:45:27Z 2018-11-26T15:45:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.jclinepi.2017.05.017 Journal Of Clinical Epidemiology. New York: Elsevier Science Inc, v. 88, p. 57-66, 2017. 0895-4356 http://hdl.handle.net/11449/159845 10.1016/j.jclinepi.2017.05.017 WOS:000411916500010 WOS000411916500010.pdf |
url |
http://dx.doi.org/10.1016/j.jclinepi.2017.05.017 http://hdl.handle.net/11449/159845 |
identifier_str_mv |
Journal Of Clinical Epidemiology. New York: Elsevier Science Inc, v. 88, p. 57-66, 2017. 0895-4356 10.1016/j.jclinepi.2017.05.017 WOS:000411916500010 WOS000411916500010.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Clinical Epidemiology 2,862 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
57-66 application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129217665171456 |