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Colombian Journal of Anestesiology

versão impressa ISSN 0120-3347versão On-line ISSN 2256-2087

Resumo

PIZARRO, Ana Beatriz; CARVAJAL, Sebastián  e  BUITRAGO-LOPEZ, Adriana. Assessing the methodological quality of systematic reviews using the AMSTAR tool. Rev. colomb. anestesiol. [online]. 2021, vol.49, n.1, e501.  Epub 04-Jan-2021. ISSN 0120-3347.  https://doi.org/10.5554/22562087.e913.

Introduction

Making decisions based on evidence has been a challenge for health professionals, given the need to have the tools and skills to carry out a critical appraisal of the evidence and assess the validity of the results. Systematic reviews of the literature (SRL) have been used widely to answer questions in the clinical field. Tools have been developed that support the appraisal of the quality of the studies. AMSTAR is one of these, validated and supported by reproducible evidence, which guides the methodological quality of the SRL.

Objectives

To show a historical, theoretical and practical guide for critical assessment of systematic reviews using AMSTAR to guide the argumental bases for their use according to the components of this methodological structure in health research, and to provide practical examples of how to apply this checklist.

Methods

We conducted a non-exhaustive review of literature in Pubmed and Cochrane Library using "AMSTAR" and "Systematic Reviews" as free terms without language or publication date limit; we also collected information from experts in the evaluation of the quality of the evidence.

Conclusions

AMSTAR is an instrument used, validated and supported by reproducible evidence for the evaluation of the internal validity of systematic reviews of the literature. It consists of 16 items that assess the overall methodological quality of a SRL. It is currently used indiscriminately and favorably, but it is not exempt from limitations and future updates based on new reproducibility and validation studies.

Palavras-chave : AMSTAR; systematic review; quality assessment; clinical evidence; reliability; validity; epidemiological methods; meta-analysis as topic.

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