Risk difference estimation and reporting in systematic reviews

Article type
Authors
Alonso-Coello P1, Carrasco-Labra A2, Brignardello-Petersen R3, Neumann I4, Akl E5, Sun X6, Johnston B7, Busse J8, Dahm P9, Glujovsky D10, Iorio A8, Irfan A11, Martinez L1, Ramirez-Morera A12, Solá I1, Sultan S13, Tikkinen K14, Vandvik P15, Zhang M8, Briel M16, Granados C8, Mustafa R8, Guyatt G8
1Iberoamerican Cochrane Centre. Institute of Biomedical Research (IIB Sant Pau) Barcelona, Spain
2Evidence Based Dentistry Unit, Faculty of Dentistry, Universidad de Chile, Chile
3Romina Brignardello-Petersen
4Department of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
5Department of Medicine, State University of New York at Buffalo, NY, USA
6Centre for Health Research, Kaiser Permanente Northwest, Portland, Oregon
7Research Institute, Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Canada
8Department of Clinical Epidemiology & Biostatistics, McMaster University, Canada
9Department of Urology, College of Medicine, University of Florida, Gainesville, Florida, USA
10Argentine Cochrane Centre IECS (Institute for Clinical Effectiveness and Health Policy), Buenos Aires, Argentina
11Internal Medicine Residency Program, University of Illinois at Urbana-Champaign
12CCSS Permanent Medical Advisor, Health Care Development Division, IHCAI FOUNDATION & Central America Cochrane Branch-associated Fellow, Costa Rica
13Division of Gastroenterology, Hepatology, and Nutrition, Malcom Randall Veterans Affairs Medical Center, University of Florida College of Medicine
14Dept. of Urology, Helsinki University Central Hospital, Helsinki, Finland
15Norwegian Knowledge Centre for the Health Services, Oslo, Norway
16Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Switzerland
Abstract
Background: Intervention effects can be presented alternatively in relative (such as relative risk) or absolute terms (such as risk difference). To avoid misleading users systematic reviews (SRs) authors should include both absolute and relative estimates. There is limited information about this topic and there are important potential implications for decision-making in healthcare. We therefore believe it is important to explore how this issue is managed in published systematic reviews.

Objectives: To determine the proportion of SRs reporting absolute effects (AE) and to evaluate how these are derived and interpreted. Additionally, we will explore the association of pre-specified study characteristics with the report of AE.

Methods: We searched the Medline and the Cochrane Database of Systematic Reviews for systematic reviews of randomized controlled trials published in 2010 and reporting a meta-analysis of dichotomous outcome(s). After teams of two reviewers screened studies for eligibility, we randomly selected 75 Cochrane and 75 non-Cochrane reviews. Teams of two reviewers are currently abstracting data using standardized, piloted forms and written instructions.

Results: Data abstraction is ongoing. The results of analyses will be available for presentation at the colloquium.

Conclusions: Our results will inform the extent of limitations of determining and reporting AE in SRs and lay the foundation for further studies about the potential implications for decision-making.