Bibliographic record
Abstract
BACKGROUND: Dupuytren's disease is a benign, progressive, fibroproliferative disease, and despite advances in basic science and technology, there remains no cure. To date, open fasciectomy procedures remain the criterion standard for the treatment of Dupuytren's disease despite a significant complication rate and recovery time. Needle aponeurotomy, a less invasive treatment, is associated with reduced complications and quicker recovery. METHODS: A literature review and a compilation of over 700 procedures was performed to highlight the clinical relevance of needle aponeurotomy. A step-by-step description of the author's technique for needle aponeurotomy is presented, emphasizing the pearls and pitfalls of the procedure. RESULTS: Recurrence rates for open fasciectomy are 5 to 10 percent per year compared with rates for needle aponeurotomy, which are 10 to 20 percent per year. Overall complication rates are much less frequent with needle aponeurotomy, with skin tears being the most common (3 percent). Needle aponeurotomy is cost effective compared with open fasciectomy. Recurrent proximal interphalangeal joint flexion contractures remain the most problematic in terms of correction. CONCLUSIONS: Needle aponeurotomy has been shown to be an extremely useful adjunct available to the surgeon in the treatment of Dupuytren's disease. This procedure can be performed easily in an outpatient setting or office and carries with it dramatic results. Needle aponeurotomy has a lower complication rate and quicker recovery when compared with open fasciectomy and is therefore offered to patients as a first-line treatment.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".