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Record W4407335174 · doi:10.3390/life15020259

Collagenase Clostridium Histolyticum Versus Percutaneous Needle Fasciotomy for Dupuytren’s Disease: A Systematic Review and Meta-Analysis

2025· review· en· W4407335174 on OpenAlexaboutno aff
Ishith Seth, Vicki McClure, Bryan Lim, Roberto Cuomo, Richard J. Ross, Warren M. Rozen

Bibliographic record

VenueLife · 2025
Typereview
Languageen
FieldMedicine
TopicDupuytren's Contracture and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisContext (archaeology)SurgeryPercutaneousFasciotomyInternal medicineAdverse effect

Abstract

fetched live from OpenAlex

Minimally invasive treatments for Dupuytren’s disease (DD), such as percutaneous needle fasciotomy (PNF) and collagenase clostridium histolyticum (CCH), have become alternatives to open surgeries. This meta-analysis compared these treatments in terms of complications, patient satisfaction, clinical outcomes, and recurrence. Relevant studies up to June 2024 were identified through major databases, following PRISMA guidelines, and the study was registered on PROSPERO. Statistical analysis using Review Manager 5.4 found PNF had lower post-operative rates of oedema (RR = 0.15, 95% CI [0.09, 0.27], p < 0.00001), lymphadenopathy (RR = 0.09, 95% CI [0.02, 0.38], p = 0.0010), and pruritus (RR = 0.1, 95% CI [0.01, 0.73], p = 0.02) compared to CCH. However, there were no significant differences in skin tears, recurrence, reintervention, extension deficit, or residual flexion at metacarpal and proximal interphalangeal joints (p > 0.05). Patient-reported outcomes, including QuickDASH and URAM scores, also showed no significant differences. Eleven studies involving 1443 patients were analysed, and most were at a low-to-moderate risk of bias, as assessed using the Cochrane or Newcastle–Ottawa tools. While PNF showed fewer minor complications, overall clinical and patient-reported outcomes were comparable between the treatments. These findings highlight the need to tailor treatment choices to patient preferences and clinical context.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0140.006
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.372
Teacher spread0.297 · 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 designMeta-analysis
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

Citations4
Published2025
Admission routes1
Has abstractyes

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