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Record W4210388471 · doi:10.11124/jbies-21-00371

Rapid reviews and the methodological rigor of evidence synthesis: a JBI position statement

2022· article· en· W4210388471 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJBI Evidence Synthesis · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsQueen's UniversityUniversity of TorontoUniversity of VictoriaSt. Michael's Hospital
Fundersnot available
KeywordsTransparency (behavior)Systematic reviewEvidence-based practiceEvidence-based medicineCritical appraisalHealth careBest evidenceBest practice

Abstract

fetched live from OpenAlex

ABSTRACT: The demand for rapid reviews has exploded in recent years. A rapid review is an approach to evidence synthesis that provides timely information to decision-makers (eg, health care planners, providers, policymakers, patients) by simplifying the evidence synthesis process. A rapid review is particularly appealing for urgent decisions. JBI is a world-renowned international collaboration for evidence synthesis and implementation methodologies. The principles for JBI evidence synthesis include comprehensiveness, rigor, transparency, and a focus on applicability to clinical practice. As such, JBI has not yet endorsed a specific approach for rapid reviews. In this paper, we compare rapid reviews versus other types of evidence synthesis, provide a range of rapid evidence products, outline how to appraise the quality of rapid reviews, and present the JBI position on rapid reviews. JBI Collaborating Centers conduct rapid reviews for decision-makers in specific circumstances, such as limited time or funding constraints. A standardized approach is not used for these cases;instead, the evidence synthesis methods are tailored to the needs of the decision-maker. The urgent need to deliver timely evidence to decision-makers poses challenges to JBI's mission to produce high-quality, trustworthy evidence. However, JBI recognizes the value of rapid reviews as part of the evidence synthesis ecosystem. As such, it is recommended that rapid reviews be conducted with the same methodological rigor and transparency expected of JBI reviews. Most importantly, transparency is essential, and the rapid review should clearly report where any simplification in the steps of the evidence synthesis process has been taken.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.071
metaresearch head score (Gemma)0.113
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.649
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0710.113
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.714
GPT teacher head0.650
Teacher spread0.064 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it