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Record W2937671954 · doi:10.1177/1753193419843850

A health utility assessment of trapeziectomy with ligament reconstruction and tendon interposition for thumb trapeziometacarpal osteoarthritis

2019· article· en· W2937671954 on OpenAlexaff
Johnny Ionut Efanov, David‐Dan Nguyen, Ali Izadpanah, Michel Alain Danino, Patrick G. Harris

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2019
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineThumbOsteoarthritisArthrodesisLigamentTendonFinkelstein's testSurgeryVisual analogue scaleQuality of life (healthcare)Tendon transferPhysical therapy

Abstract

fetched live from OpenAlex

Trapeziectomy with ligament reconstruction and tendon interposition (LRTI) for trapeziometacarpal joint osteoarthritis may have both postoperative benefits and complications. This study sought to determine the health state utility outcome measures of trapeziectomy with LRTI. Patients who underwent trapeziectomy with LRTI were invited to complete the brief Michigan Hand Questionnaire and utility questionnaires outcomes using a visual analogue scale , time trade-off and standard gamble. Quality-adjusted life years (QALYs) were derived from these utility measures. For this study 32 patients were recruited, with a mean age of 61. Most patients (27/32) perceived the procedure as successful. Utility measures and QALYs serve the purpose of comparing different surgical procedures in terms of their impact on the quality of life of patients as a function of the benefits and complications of each procedure. In this study, the utility of trapeziectomy with LRTI was less than has been described for open palmar fasciectomy but more than for total wrist arthrodesis. Level of evidence: IV

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.266
Teacher spread0.254 · 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 teacher head, not a consensus.

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

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

Citations6
Published2019
Admission routes1
Has abstractyes

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