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Record W3003549067 · doi:10.1177/1753193420903624

A systematic review identifying outcomes and outcome measures in Dupuytren’s disease research

2020· review· en· W3003549067 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 Hand Surgery (European Volume) · 2020
Typereview
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsImpactMcMaster University
Fundersnot available
KeywordsMedicineCINAHLMEDLINEPhysical therapyOutcome (game theory)FasciotomyClinical trialSystematic reviewRandomized controlled trialDiseaseCohort studyIntensive care medicineSurgeryPsychological interventionInternal medicine

Abstract

fetched live from OpenAlex

This systematic review summarizes the outcome reporting standards in Dupuytren's disease treatment research. A search of Ovid Medline, Ovid Embase, and CINAHL was conducted. Randomized controlled trials, cohort studies, and case series published between 1997 and 2017, investigating treatment of Dupuytren's disease with fasciectomy, fasciotomy, or collagenase, were eligible for inclusion. Range of motion was the most commonly reported outcome, appearing in 77% of included studies. Outcomes, such as range of motion, recurrence, and clinical success, were frequently defined, however many different definitions were used. We identified 37 unique measurement methods for range of motion, 28 for recurrence, and 25 for clinical success. Most outcomes were assessed at multiple time points, and only a few studies reported results according to established clinical significance thresholds. Development of a core outcome set will help standardize outcome reporting, and ensure future research in this field is relevant, interpretable, and amenable to systematic review and/or meta-analysis.

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)0.007
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.187
GPT teacher head0.419
Teacher spread0.232 · 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