PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

2018 Annals of Internal Medicine 33,710 citations

Abstract

Scoping reviews, a type of knowledge synthesis, follow a systematic approach to map evidence on a topic and identify main concepts, theories, sources, and knowledge gaps. Although more scoping reviews are being done, their methodological and reporting quality need improvement. This document presents the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) checklist and explanation. The checklist was developed by a 24-member expert panel and 2 research leads following published guidance from the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network. The final checklist contains 20 essential reporting items and 2 optional items. The authors provide a rationale and an example of good reporting for each item. The intent of the PRISMA-ScR is to help readers (including researchers, publishers, commissioners, policymakers, health care providers, guideline developers, and patients or consumers) develop a greater understanding of relevant terminology, core concepts, and key items to report for scoping reviews.

Keywords

ChecklistSystematic reviewTerminologyMedicineGuidelineHealth careQuality (philosophy)Medical educationMEDLINEManagement scienceKnowledge managementProcess managementPsychologyComputer scienceEngineering

MeSH Terms

ChecklistDelphi TechniqueHumansMeta-Analysis as TopicReview Literature as TopicScoping Reviews As Topic

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Publication Info

Year
2018
Type
article
Volume
169
Issue
7
Pages
467-473
Citations
33710
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

33710
OpenAlex
802
Influential
28199
CrossRef

Cite This

Andrea C. Tricco, Erin Lillie, Wasifa Zarin et al. (2018). PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Annals of Internal Medicine , 169 (7) , 467-473. https://doi.org/10.7326/m18-0850

Identifiers

DOI
10.7326/m18-0850
PMID
30178033

Data Quality

Data completeness: 86%