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Record W2026868411 · doi:10.1097/prs.0000000000000603

Minimally Invasive Options in Dupuytren’s Contracture

2014· review· en· W2026868411 on OpenAlexaff
Amanda Murphy, Donald H. Lalonde, Charles Eaton, Keith Denkler, Steven E.R. Hovius, Anthony A. Smith, Alison Martin, Atanu Biswas, Catherine Van Nieuwenhoven

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2014
Typereview
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsContractureMedicineModalitiesDupuytren's contractureTreatment modalityCollagenaseSurgeryInvasive surgeryNumerical digitBiology

Abstract

fetched live from OpenAlex

LEARNING OBJECTIVES: After studying this article, the participant should be able to: (1) Perform needle aponeurotomy, fat grafting, Digit Widget insertion, and collagenase injection for Dupuytren's cords. (2) Describe how cords can be stretched without surgery. (3) Explain to patients the risks and benefits of these new alternatives of treatments. SUMMARY: Surgery for Dupuytren's contracture used to be the only alternative of treatment. The past 5 years have seen the widespread adoption of minimally invasive treatments in the form of needle aponeurotomy and collagenase injection to disrupt the cords and restore range of motion. Even newer and perhaps as effective treatments such as fat grafting and mechanical stretching with the Digit Widget may also end up being important tools of treatment. The reader will be introduced to all of these modalities with text, illustration, and videos.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.030
GPT teacher head0.295
Teacher spread0.265 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations21
Published2014
Admission routes1
Has abstractyes

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