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Record W4401023228 · doi:10.1016/j.fas.2024.07.008

Soleful solutions: Advancements in treatment strategies for ledderhose disease

2024· review· en· W4401023228 on OpenAlexaff
Jamie Tersago, Alina Constantin

Bibliographic record

VenueFoot and Ankle Surgery · 2024
Typereview
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsMedicineIntensive care medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Ledderhose disease (plantar fibromatosis) is a benign and progressive proliferative disorder of the plantar fascia that forms fixed and painful nodules within the fascia, causing functional disability and decreased quality of life. METHODS: We conducted a narrative review using Pubmed (https://pubmed.ncbi.nlm.nih.gov/) and searched for the terms "Ledderhose disease" "plantar fibromatosis" "Ledderhose disease treatment" "plantar fibromatosis treatment" with further focused searches in Pubmed to supplement information regarding each intervention. RESULTS: Many non-surgical therapeutic strategies are used in managing symptoms. These include pharmacological and non-pharmacological treatment options. Surgical treatment is employed when these therapies are not able to control the symptoms. CONCLUSION: Understanding and exploring effective treatment modalities for Ledderhose disease (LD) is important in improving the functional disability and quality of life. This review aims to showcase a general outline of the condition and illustrate the present treatments used to manage the disease. LEVELS OF EVIDENCE: Therapeutic study, Level V.

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)0.003
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.121
GPT teacher head0.386
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 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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