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Record W1972815047 · doi:10.2147/tcrm.s9165

Molecular mechanisms and treatment strategies for Dupuytren’s disease

2010· article· en· W1972815047 on OpenAlexaffabout
Bing Siang Gan

Bibliographic record

VenueTherapeutics and Clinical Risk Management · 2010
Typearticle
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsRogers Communications (Canada)
Fundersnot available
KeywordsMedicineDiseasePathophysiologyPresentation (obstetrics)Treatment modalityTherapeutic modalitiesBioinformaticsDermatologyPathologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Molecular mechanisms and treatment strategies for Dupuytren’s disease David B O’Gorman1,2,3,4, Linda Vi1,2,5, Bing Siang Gan1,2,3,5,61Cell and Molecular Biology Laboratory, 2The Hand and Upper Limb Centre, St. Joseph’s Health Care London, Schulich School of Medicine and Dentistry, 3Departments of Surgery, 4Biochemistry, 5Physiology and Pharmacology, 6Medical Biophysics, The University of Western Ontario, London, OT, CanadaAbstract: Dupuytren’s disease (DD) is a common disease of the hand and is characterized by thickening of the palmar fascia and formation of tight collagenous disease cords. At present, the disease is incurable and the molecular pathophysiology of DD is unknown. Surgery remains the most commonly used treatment for DD, but this requires extensive postoperative therapy and is associated with high rates of recurrence. Over the past decades, more indepth exploration of the molecular basis of DD has raised the hopes of developing new treatment modalities. This paper reviews the clinical presentation and molecular pathophysiology of this disease, as well as current and emerging treatment. It also explores the implications of new findings in the laboratory for future treatment.Keywords: Dupuytren’s contracture, Dupuytren’s disease, fibrosis

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.039
GPT teacher head0.371
Teacher spread0.332 · 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 designOther design
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

Citations21
Published2010
Admission routes2
Has abstractyes

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