A methodological survey of the analysis, reporting and interpretation of Absolute Risk Reduction in systematic reviews (ARROW) : a study protocol

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Date
2013-12-13Authors
Alonso-Coello, PabloCarrasco-Labra, Alonso
Brignardello-Petersen, Romina
Neumann, Ignacio
Akl, Elie A.
Sun, Xin
Johnston, Bradley C.
Briel, Matthias
Busse, Jason W.
Glujovsky, Demian
Granados, Carlos E.
Iorio, Alfonso
Irfan, Affan
García, Laura M.
Mustafa, Reem A.
Ramírez-Morera, Anggie
Solà, Ivan
Tikkinen, Kari
Ebrahim, Shanil
Vandvik, Per Olav
Zhang, Yuqing
Selva, Anna
Sanabria, Andrea Juliana
Zazueta, Oscar E.
Vernooij, Robin W. M.
Schünemann, Holger
Guyatt, Gordon H.
Corporate Author(s)
Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Radiología e Imágenes Diagnósticas
Type
Artículo de revista
ISSN
2046-4053 (Electrónico)
Pages
1-8
Item type
Protocolo
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Abstract
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.
Keywords
Systematic reviewsMeta-analysis
Statistical data
Evidence-based medicine
Numbers needed to treat
Data reporting
Absolute effect measures
Link to the resource
https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/2046-4053-2-113Source
Systematic Reviews; Vol. 2 Núm. 113 (2013)
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