Reporting missing participant data in randomised trials : Systematic survey of the methodological literature and a proposed guide
Akl, Elie A. (McMaster University (Canadà))
Shawwa, Khaled (American University of Beirut)
Kahale, Lara A. (American University of Beirut)
Agoritsas, Thomas (McMaster University (Canadà))
Brignardello-Petersen, Romina (University of Toronto)
Busse, Jason (McMaster University (Canadà))
Carrasco-Labra, Alonso (McMaster University (Canadà))
Ebrahim, Shanil (Stanford University (Estats Units))
Johnston, Bradley C. (Hospital for Sick Children (Canadà))
Neumann, Ignacio (Pontificia Universidad Católica de Chile)
Solà, Ivan (Institut d'Investigació Biomèdica Sant Pau)
Sun, Xin (Sichuan University (Xina))
Vandvik, Per (Innlandet Hospital Trust (Noruega))
Zhang, Yuqing (McMaster University (Canadà))
Alonso-Coello, Pablo (Institut d'Investigació Biomèdica Sant Pau)
Guyatt, Gordon (McMaster University (Canadà))
Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública

Data:	2015
Resum:	Objectives: We conducted a systematic survey of the methodological literature to identify recommended approaches for how and what randomised clinical trial (RCT) authors should report on missing participant data and, on the basis of these approaches, to propose guidance for RCT authors. Methods: We defined missing participant data (MPD) as missing outcome data for trial participants. We considered both categorical and continuous outcome data. We searched MEDLINE and the Cochrane Methodology Register for articles in which authors proposed approaches to reporting MPD from RCTs. We selected eligible articles independently and in duplicate and extracted data in duplicate. Using an iterative process of discussion and revisions, we used the findings to develop guidance. Results: Of 10 501 unique citations identified, 13 articles reporting on 10 approaches proved eligible. The identified approaches recommend reporting the following aspects (from most to least frequently recommended): number of participants with MPD (n=10), reasons for MPD (n=7), methods used to handle MPD in the analysis (n=4), flow of participants (n=3), pattern of missingness (eg, whether at random) (n=3), differences in rates of MPD between trial arms (n=2), differences between participants with and without MPD (n=2), results of any sensitivity analyses (n=2), implication of MPD on interpreting the results (n=2) and methods used to prevent missing data (n=1). We propose a guide with nine items related to reporting the number, reasons, patterns, analytical methods and interpretation of MPD. Conclusions: Most identified approaches invite trial authors to report the extent of MPD and the underlying reasons. Fewer approaches focus on reporting missingness patterns, methods for handling MPD and implications of MPD on results. Our proposed guidance could help RCT authors to better report, and readers to better identify participants with missing data.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article de revisió ; recerca ; Versió publicada
Matèria:	Epidemiology ; Missing participant data ; Randomized clinical trials ; Systematic reviews
Publicat a:	BMJ open, Vol. 5 Núm. 12 (30 2015) , p. e008431, ISSN 2044-6055

DOI: 10.1136/bmjopen-2015-008431
PMID: 26719310

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