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Record W3189873370 · doi:10.1177/19386400211032099

Recurrence Rate After Wide Resection of Plantar Fibromatosis: A Case Series and Systematic Literature Review

2021· article· en· W3189873370 on OpenAlexaff
Helen Anwander, Florian Weichsel, Jennifer L. Cullmann, Angela Seidel, Annabel Hayoz, Fabian Krause

Bibliographic record

VenueFoot & Ankle Specialist · 2021
Typearticle
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineResectionMagnetic resonance imagingFoot (prosody)SurgeryFibromatosisRetrospective cohort studyAnkleRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: The aim was to assess the recurrence rate and clinical outcome after wide resection for plantar fibromatosis. METHODS: A total of 12 patients, 2 to 13 years after wide resection, were assessed for local and magnetic resonance imaging tomographic signs of recurrence at the clinical follow-up. In addition, a systematic review of the literature was conducted. RESULTS: After 7.8 years (2-13), 2 patients (17%) suffered a recurrence. At the last follow-up, median Foot Functional Index was 1 (0-66) and American Orthopaedic Foot and Ankle Society score was 95 (44-100). Six studies with 109 feet (92 patients) were included in the systematic review. The recurrence rate depends on the width of the resection: 67% after local resection, 42% after wide resection, and 27% after fasciectomy. CONCLUSION: In patients with symptomatic plantar fibromatosis, we recommend a wide resection or fasciectomy over a local resection because of the inferior recurrence rate. LEVELS OF EVIDENCE: Level IV: Retrospective case series.

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)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0100.009
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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 designSystematic review
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

Citations4
Published2021
Admission routes1
Has abstractyes

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