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Record W2137638342 · doi:10.1191/096120300678828424

Endpoints: consensus recommendations from OMERACT IV

2000· review· en· W2137638342 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

VenueLupus · 2000
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of OttawaToronto Western Hospital
Fundersnot available
KeywordsMedicineObservational studyRandomized controlled trialClinical trialPopulationQuality of life (healthcare)Outcome (game theory)Internal medicinePhysical therapyIntensive care medicine

Abstract

fetched live from OpenAlex

The goal of the 'Outcome Measures in Rheumatology' (OMERACT) process is to select domains and/or outcome measures for clinical trials in each defined disease category according to truth, discrimination and feasibility. OMERACT IV, held in Cancun, Mexico, April 1998, included the module 'Systemic Lupus Erythematosus (SLE)', designed to define a preliminary core set of outcome domains for randomized controlled trials and longitudinal observational studies (LOS). Although specific measures to be used in clinical trials of SLE have yet to be determined, both randomized controlled trials and longitudinal observation studies groups recommended that outcome be assessed in terms of disease activity and damage in all organ systems involved, as well as by health related quality of life, meaningful to patients, and adverse events. These recommendations were ratified by the majority of participants. In a heterogeneous patient population such as SLE, it is recognized that any individual measure of clinical response may reflect only a portion of what might be termed the 'true outcome'. A responder index could integrate such relatively independent measures of outcome into a single assessment, potentially increasing statistical power and decreasing sample size. Results from randomized controlled trials currently underway assessing these outcome domains are eagerly awaited, and are expected to rapidly advance the field.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.010

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 head0.087
GPT teacher head0.396
Teacher spread0.309 · 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