MétaCan
Menu
Back to cohort
Record W2057713439 · doi:10.1159/000051263

Interrater Reliability of the Modified Jadad Quality Scale for Systematic Reviews of Alzheimer’s Disease Drug Trials

2001· article· en· W2057713439 on OpenAlexaff
Mark Oremus, Christina Wolfson, Anne Perrault, Louise Demers, Franco Momoli, Yola Moride

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2001
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversité de MontréalMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsJadad scaleInter-rater reliabilityDrug trialReliability (semiconductor)Clinical trialDiseaseIntraclass correlationPsychologyMedicineRating scalePhysical therapyPsychometricsClinical psychologyRandomized controlled trialInternal medicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Drug therapies for Alzheimer's disease (AD) have been evaluated in clinical trials over the past 2 decades. Systematic reviews of AD drug trials can shed more light on the efficacy of pharmaceutical interventions. The modified Jadad scale can be used to assess the quality of trial reports that are candidates for inclusion in these systematic reviews. The interrater reliability of the modified Jadad scale was examined during such a review. Three blinded reviewers rated the quality of 42 AD drug trial reports: the intraclass correlation coefficient was 0.90. The modified Jadad scale appears to be a useful tool for AD research because of the very good interrater reliability. Also, it is composed of items that are well suited to the specific disease characteristics of AD. Further research should focus on the validity of this instrument.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.508
metaresearch head score (Gemma)0.714
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.607

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5080.714
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0090.017
Bibliometrics0.0220.017
Science and technology studies0.0030.005
Scholarly communication0.0060.004
Open science0.0030.010
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.531
GPT teacher head0.508
Teacher spread0.023 · 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

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainMethods
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations422
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueDementia and Geriatric Cognitive DisordersSame topicMeta-analysis and systematic reviewsFrench-language works237,207