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Recommendations for a core outcome measurement set for clinical trials in whiplash associated disorders

2023· article· en· W4376226643 on OpenAlexaff
Tonny Elmose Andersen, Linda Carroll, Luke B. Connelly, Pierre Côté, Michele Curatolo, Genevieve Grant, Gwendolen Jull, Helge Kasch, Sophie Lykkegaard Ravn, Joy C. MacDermid, Eva-Maj Malmström, Trudy Rebbeck, Anne Söderlund, Julia Treleaven, David M. Walton, Hans Westergren

Bibliographic record

VenuePain · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsSt Joseph's Health CentreWestern UniversityCentre for Disability Prevention and RehabilitationPublic Health OntarioUniversity of TorontoOntario Tech UniversityUniversity of Alberta
Fundersnot available
KeywordsWhiplashOutcome (game theory)Core (optical fiber)MedicinePhysical medicine and rehabilitationSet (abstract data type)Clinical trialPhysical therapyMedical emergencyComputer sciencePoison controlInternal medicineMathematics

Abstract

fetched live from OpenAlex

ABSTRACT: Inconsistent reporting of outcomes in clinical trials of treatments for whiplash associated disorders (WAD) hinders effective data pooling and conclusions about treatment effectiveness. A multidisciplinary International Steering Committee recently recommended 6 core outcome domains: Physical Functioning, Perceived Recovery, Work and Social Functioning, Psychological Functioning, Quality of Life and Pain. This study aimed to reach consensus and recommend a core outcome set (COS) representing each of the 6 domains. Forty-three patient-reported outcome measures (PROMs) were identified for Physical Functioning, 2 for perceived recovery, 37 for psychological functioning, 17 for quality of life, and 2 for pain intensity. They were appraised in 5 systematic reviews following COSMIN methodology. No PROMs of Work and Social Functioning in WAD were identified. No PROMs had undergone evaluation of content validity in patients with WAD, but some had moderate-to-high-quality evidence for sufficient internal structure. Based on these results, the International Steering Committee reached 100% consensus to recommend the following COS: Neck Disability Index or Whiplash Disability Questionnaire (Physical Functioning), the Global Rating of Change Scale (Perceived Recovery), one of the Pictorial Fear of Activity Scale-Cervical, Pain Self-Efficacy Questionnaire, Pain Catastrophizing Scale, Harvard Trauma Questionnaire, or Posttraumatic Diagnostic Scale (Psychological Functioning), EQ-5D-3L or SF-6D (Quality of Life), numeric pain rating scale or visual analogue scale (Pain), and single-item questions pertaining to current work status and percent of usual work (Work and Social Functioning). These recommendations reflect the current status of research of PROMs of the 6 core outcome domains and may be modified as evidence grows.

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)0.659
metaresearch head score (Gemma)0.823
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.341
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6590.823
Meta-epidemiology (narrow)0.0070.008
Meta-epidemiology (broad)0.0230.050
Bibliometrics0.0210.020
Science and technology studies0.0060.009
Scholarly communication0.0220.020
Open science0.0150.014
Research integrity0.0390.033
Insufficient payload (model declined to judge)0.0130.010

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 head0.587
GPT teacher head0.548
Teacher spread0.039 · 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 designNot applicable
DomainMethods
GenreMethods

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

Citations11
Published2023
Admission routes1
Has abstractyes

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