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Record W4387729605 · doi:10.1177/19476035231205684

A Novel Update on the Management of Müller-Weiss Disease: Presentation of a Treatment Algorithm

2023· review· en· W4387729605 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

VenueCartilage · 2023
Typereview
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPresentation (obstetrics)DeformityMedicineDiseaseFocus (optics)AlgorithmComputer sciencePhysical medicine and rehabilitationPhysical therapySurgeryPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Müller-Weiss disease (MWD) is a challenging condition involving the perinavicular region in the initial stages and subsequently the entire foot in the later stages. The goal of this article is to describe the pathomechanics, clinical evaluation, and nonoperative and operative treatment, including a treatment algorithm, based on current evidence and the combined authors' experience. DESIGN: We review the related articles and summarize the information about this condition. RESULTS: A number of related articles reveal that the treatments should focus on the management of degenerative regions and deformity correction to restore normal foot alignment and provide pain relief. CONCLUSION: This systematic review proposes a treatment algorithm that is comprehensive and practical to apply for the management of MWD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.102
GPT teacher head0.360
Teacher spread0.257 · 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