Current methods for development of rapid reviews about diagnostic tests: an international survey.

Decision-making Diagnosis Knowledge synthesis Rapid reviews Tests

Journal

BMC medical research methodology
ISSN: 1471-2288
Titre abrégé: BMC Med Res Methodol
Pays: England
ID NLM: 100968545

Informations de publication

Date de publication:
13 05 2020
Historique:
received: 20 03 2020
accepted: 30 04 2020
entrez: 15 5 2020
pubmed: 15 5 2020
medline: 25 6 2021
Statut: epublish

Résumé

Rapid reviews (RRs) have emerged as an efficient alternative to time-consuming systematic reviews-they can help meet the demand for accelerated evidence synthesis to inform decision-making in healthcare. The synthesis of diagnostic evidence has important methodological challenges. Here, we performed an international survey to identify the current practice of producing RRs for diagnostic tests. We developed and administered an online survey inviting institutions that perform RRs of diagnostic tests from all over the world. All participants (N = 25) reported the implementation of one or more methods to define the scope of the RR; however, only one strategy (defining a structured question) was used by ≥90% of participants. All participants used at least one methodological shortcut including the use of a previous review as a starting point (92%) and the use of limits on the search (96%). Parallelization and automation of review tasks were not extensively used (48 and 20%, respectively). Our survey indicates a greater use of shortcuts and limits for conducting diagnostic test RRs versus the results of a recent scoping review analyzing published RRs. Several shortcuts are used without knowing how their implementation affects the results of the evidence synthesis in the setting of diagnostic test reviews. Thus, a structured evaluation of the challenges and implications of the adoption of these RR methods is warranted.

Sections du résumé

BACKGROUND
Rapid reviews (RRs) have emerged as an efficient alternative to time-consuming systematic reviews-they can help meet the demand for accelerated evidence synthesis to inform decision-making in healthcare. The synthesis of diagnostic evidence has important methodological challenges. Here, we performed an international survey to identify the current practice of producing RRs for diagnostic tests.
METHODS
We developed and administered an online survey inviting institutions that perform RRs of diagnostic tests from all over the world.
RESULTS
All participants (N = 25) reported the implementation of one or more methods to define the scope of the RR; however, only one strategy (defining a structured question) was used by ≥90% of participants. All participants used at least one methodological shortcut including the use of a previous review as a starting point (92%) and the use of limits on the search (96%). Parallelization and automation of review tasks were not extensively used (48 and 20%, respectively).
CONCLUSION
Our survey indicates a greater use of shortcuts and limits for conducting diagnostic test RRs versus the results of a recent scoping review analyzing published RRs. Several shortcuts are used without knowing how their implementation affects the results of the evidence synthesis in the setting of diagnostic test reviews. Thus, a structured evaluation of the challenges and implications of the adoption of these RR methods is warranted.

Identifiants

pubmed: 32404051
doi: 10.1186/s12874-020-01004-z
pii: 10.1186/s12874-020-01004-z
pmc: PMC7220561
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

115

Subventions

Organisme : Fundación para la Investigacion Biomedica, Hospital Universitario Ramon y Cajal
ID : IMP 18-05/2018
Pays : International

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Auteurs

Ingrid Arevalo-Rodriguez (I)

Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health, Madrid, Spain. inarev7@yahoo.com.

Karen R Steingart (KR)

Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Andrea C Tricco (AC)

Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
Epidemiology Division, Dalla Lana School of Public Health and Institute of Health Policy, Management and Evaluation at the University of Toronto, Toronto, Canada.
Queen's Collaboration for Health Care Quality, Joanna Briggs Institute Centre of Excellence, Queen's University, Kingston, Canada.

Barbara Nussbaumer-Streit (B)

Cochrane Austria, Danube University Krems, Krems, Austria.

David Kaunelis (D)

Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada.

Pablo Alonso-Coello (P)

Iberoamerican Cochrane Center-Servicio de Epidemiología Clínica y Salud Pública, Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.
CIBER of Epidemiology and Public Health, Barcelona, Spain.

Susan Baxter (S)

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

Patrick M Bossuyt (PM)

Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands.

José Ignacio Emparanza (JI)

Clinical Epidemiology Unit, Hospital Universitario Donostia, BioDonostia, CIBER of Epidemiology and Public Health, San Sebastian, Spain.

Javier Zamora (J)

Clinical Biostatistics Unit, Hospital Universitario Ramón y Cajal, IRYCIS, CIBER of Epidemiology and Public Health, Madrid, Spain.
Barts and the London School of Medicine and Dentistry, Queen Mary University, London, UK.

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