MétaCan
Menu
Back to cohort
Record W2015744422 · doi:10.3899/jrheum.090359

Patient Perspective on Outcomes in Rheumatology — A Position Paper for OMERACT 9

2009· article· en· W2015744422 on OpenAlexaffvenue
John Kirwan, Stanton Newman, Peter Tugwell, George A. Wells

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicinePsychological interventionPerspective (graphical)RheumatologyPhysical therapyInclusion (mineral)Position paperInternal medicineFamily medicineNursingPathologyPsychology

Abstract

fetched live from OpenAlex

The inclusion of patient participants at OMERACT has resulted in direct incorporation of the patient perspective in the development of outcome assessments in rheumatology. Fatigue has been adopted as a recommended measure in all studies, and further work is now under way on the assessment of sleep, effective healthcare consumers, and the effects of psychological or educational interventions. This position paper draws this work together in preparation for the Patient Perspective Workshop at OMERACT 9, and introduces the concept that other core outcomes relevant to patients might be required in assessing interventions designed to help patients live with their disease.

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)0.112
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1120.064
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0060.011
Open science0.0020.008
Research integrity0.0080.017
Insufficient payload (model declined to judge)0.0050.001

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 head0.041
GPT teacher head0.418
Teacher spread0.378 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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

Citations41
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicDelphi Technique in ResearchFrench-language works237,207