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Record W2110953792 · doi:10.3899/jrheum.150416

Clinical Update: Conservative Management of Carpometacarpal Joint Osteoarthritis

2015· letter· en· W2110953792 on OpenAlexvenueno aff
Jorge Hugo Villafañe, Kristin Valdés, Pedro Berjano, Anne Wajon

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typeletter
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThumbCarpometacarpal jointOsteoarthritisOrthopedic surgeryConservative managementConservative treatmentPhysical therapyPsychological interventionSurgeryAlternative medicinePathology

Abstract

fetched live from OpenAlex

To the Editor: Osteoarthritis (OA) of the thumb carpometacarpal (CMC) joint affects 15% of adults older than 30 years and 66% of women older than 55 years1. The resultant loss of thumb function may result in a 40% to 50% impairment of the upper extremity2. Thumb CMC OA is a degenerative alteration of the CMC OA joint that is characterized by abrasion, progressive deterioration of the joint surfaces, ligamentous laxity, and osteophyte formation at the site of deterioration3. Some patients with advanced CMC OA may proceed to surgical reconstruction of the basal thumb joint following failure of conservative interventions3, but it is accepted that all patients require a trial of conservative therapy before proceeding with surgery3. There are differences regarding the understanding of efficacy of conservative interventions among orthopedic specialists, rheumatologists, and hand therapists. It is important that specialists understand which interventions have been found to be the most efficacious to improve the individual’s … Address correspondence to Dr. J.H. Villafañe, Regione Generala 11/16, Piossasco 10045, Italy. E-mail: mail{at}villafane.it

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0140.012
Insufficient payload (model declined to judge)0.0040.003

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 head0.047
GPT teacher head0.321
Teacher spread0.274 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations14
Published2015
Admission routes1
Has abstractyes

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