A methodological survey of the analysis, reporting and interpretation of Absolute Risk ReductiOn in systematic revieWs (ARROW): a study protocol
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  • 作者:Pablo Alonso-Coello (1) (2)
    Alonso Carrasco-Labra (2) (3)
    Romina Brignardello-Petersen (2) (3)
    Ignacio Neumann (2) (4)
    Elie A Akl (2) (5) (6)
    Xin Sun (2) (7)
    Bradley C Johnston (2) (8) (9)
    Matthias Briel (10)
    Jason W Busse (11) (2)
    Demián Glujovsky (12)
    Carlos E Granados (13)
    Alfonso Iorio (2)
    Affan Irfan (14)
    Laura M García (1)
    Reem A Mustafa (15)
    Anggie Ramirez-Morera (16)
    Iván Solà (1)
    Kari A O Tikkinen (17) (2)
    Shanil Ebrahim (11) (18) (2)
    Per O Vandvik (19)
    Yuqing Zhang (2)
    Anna Selva (1)
    Andrea J Sanabria (1)
    Oscar E Zazueta (1)
    Robin W M Vernooij (1)
    Holger J Schünemann (2)
    Gordon H Guyatt (2)
  • 关键词:Systematic reviews ; Meta ; analysis ; Statistical data ; Evidence ; based medicine ; Numbers needed to treat ; Data reporting ; Absolute effect measures
  • 刊名:Systematic Reviews
  • 出版年:2013
  • 出版时间:December 2013
  • 年:2013
  • 卷:2
  • 期:1
  • 全文大小:219 KB
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  • 作者单位:Pablo Alonso-Coello (1) (2)
    Alonso Carrasco-Labra (2) (3)
    Romina Brignardello-Petersen (2) (3)
    Ignacio Neumann (2) (4)
    Elie A Akl (2) (5) (6)
    Xin Sun (2) (7)
    Bradley C Johnston (2) (8) (9)
    Matthias Briel (10)
    Jason W Busse (11) (2)
    Demián Glujovsky (12)
    Carlos E Granados (13)
    Alfonso Iorio (2)
    Affan Irfan (14)
    Laura M García (1)
    Reem A Mustafa (15)
    Anggie Ramirez-Morera (16)
    Iván Solà (1)
    Kari A O Tikkinen (17) (2)
    Shanil Ebrahim (11) (18) (2)
    Per O Vandvik (19)
    Yuqing Zhang (2)
    Anna Selva (1)
    Andrea J Sanabria (1)
    Oscar E Zazueta (1)
    Robin W M Vernooij (1)
    Holger J Schünemann (2)
    Gordon H Guyatt (2)

    1. Iberoamerican Cochrane Centre, Institute of Biomedical Research (IIB-Sant Pau), Barcelona, Spain
    2. Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Canada
    3. Evidence-Based Dentistry Unit, Faculty of Dentistry, Universidad de Chile, Santiago, Chile
    4. Department of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
    5. Department of Internal Medicine, American University of Beirut, Beirut, Lebanon
    6. Department of Medicine, State University of New York, Buffalo, NY, USA
    7. Chinese Evidence-based Medicine Centre, West China Hospital, Sichuan University, Chengdu, China
    8. Department of Anaesthesia and Pain Medicine, The Hospital for Sick Children, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
    9. Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
    10. Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
    11. Department of Anaesthesia, McMaster University, Hamilton, Canada
    12. Argentine Cochrane Centre IECS (Institute for Clinical Effectiveness and Health Policy), Buenos Aires, Argentina
    13. área de investigaciones, Facultad de Medicina, Universidad de La Sabana, Chía, Colombia
    14. Internal Medicine Residency Program, University of Illinois, Urbana-Champaign, Illinois, USA
    15. Department of Medicine and Nephrology, University Of Missouri-Kansas City, Missouri-Kansas City, Missouri, USA
    16. CCSS Permanent Medical Advisor, Health Care Development Division, IHCAI Foundation & Central America Cochrane, Costa Rica, kragujevac, Costa Rica
    17. Department of Urology, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
    18. Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Canada
    19. Norwegian Knowledge Centre for the Health Services, Oslo, Norway
  • ISSN:2046-4053
文摘
Background Clinicians, providers and guideline panels use absolute effects to weigh the advantages and downsides of treatment alternatives. Relative measures have the potential to mislead readers. However, little is known about the reporting of absolute measures in systematic reviews. The objectives of our study are to determine the proportion of systematic reviews that report absolute measures of effect for the most important outcomes, and ascertain how they are analyzed, reported and interpreted. Methods/design We will conduct a methodological survey of systematic reviews published in 2010. We will conduct a 1:1 stratified random sampling of Cochrane vs. non-Cochrane systematic reviews. We will calculate the proportion of systematic reviews reporting at least one absolute estimate of effect for the most patient-important outcome for the comparison of interest. We will conduct multivariable logistic regression analyses with the reporting of an absolute estimate of effect as the dependent variable and pre-specified study characteristics as the independent variables. For systematic reviews reporting an absolute estimate of effect, we will document the methods used for the analysis, reporting and interpretation of the absolute estimate. Discussion Our methodological survey will inform current practices regarding reporting of absolute estimates in systematic reviews. Our findings may influence recommendations on reporting, conduct and interpretation of absolute estimates. Our results are likely to be of interest to systematic review authors, funding agencies, clinicians, guideline developers and journal editors.

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