MétaCan
Menu
Back to cohort
Record W2886069670 · doi:10.1111/jep.13016

The evolution of <scp>GRADE</scp> (part 3): A framework built on science or faith?

2018· article· en· W2886069670 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

VenueJournal of Evaluation in Clinical Practice · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsImpactMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsOperationalizationCertaintyTerminologyConstruct (python library)Empirical evidenceComputer scienceQuality (philosophy)Evidence-based practiceManagement scienceNarrativePsychologyMedicineEpistemologyAlternative medicineEngineering

Abstract

fetched live from OpenAlex

RATIONALE, AIMS, AND OBJECTIVES: The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) framework has undergone several modifications since it was first presented as a method for developing clinical practice recommendations. In the previous two articles of this series, we showed that absent, in the first three versions of GRADE, is a justification (theoretical and/or empirical) for why the presented criteria for determining the quality of evidence and the components for determining the strength of a recommendation were included (and others not included) in the framework. Furthermore, it was often not clear how to operationalize and integrate the criteria/components when using the framework. In part 3 of this series, we examine the literature since version 3 to see if the GRADE working group has provided an overall justification scheme for GRADE or clear instruction on how to operationalize and integrate the criteria/components in the framework. METHODS: Narrative review. RESULTS: GRADE has undergone further modification since the last version was presented. In the recent literature, we see additional shifts in terminology (eg, "quality of evidence" is now "certainty of evidence"), clarification on the construct of certainty of evidence, continued emphasis on "transparency" and new emphasis on "trustworthiness," the addition of health equity as a component for determining strength of a recommendation, and the development of the Evidence to Decision frameworks. However, these modifications have done little to improve the justification scheme that sustains GRADE or clarify how to operationalize the criteria/components. CONCLUSIONS: If we desire that our clinical recommendations be based on scientific teaching rather than faith-based preaching, then the GRADE framework should be justified theoretically and/or empirically. Until such time that the working group provides a theoretical justification that the use of the GRADE framework should produce valid recommendations, and/or empirical evidence to support that it does, enthusiasm for the framework should be tempered.

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)0.142
metaresearch head score (Gemma)0.633
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1420.633
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.458
GPT teacher head0.677
Teacher spread0.219 · 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