Needle aponeurotomy for Dupuytren contracture: Effectiveness of postoperative night extension splinting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Night extension splinting has been used to treat patients with Dupuytren contracture to improve active range of motion (AROM) of the hand. A published case study demonstrated the benefit of splinting following needle aponeurotomy; however, no larger studies have evaluated the impact of postoperative splinting. Objectives To compare the impact of night extension splinting on AROM, specifically extension, following needle aponeurotomy for Dupuytren contracture. Methods A retrospective chart review was conducted in which the charts of 53 patients who underwent needle aponeurotomy for Dupuytren contracture between 2009 and 2013 were reviewed. The control group consisted of patients who underwent needle aponeurotomy only, whereas the treatment group was also referred for fabrication of custom night extension splints after surgery. Comparisons in pre- and postoperative AROM measurements for the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joints were made between both groups of patients. The degrees of change in AROM for each joint were categorized in terms of levels of change: mild (0° to 29°); moderate (30° to 60°); and significant (≥61°). Results All patients exhibited increased AROM after surgery for both MCP and PIP joints. Both groups had a greater increase in AROM in the MCP joint. Twelve joints from the control group had moderate changes and two from the treatment group had significant changes. When both groups were compared, the levels of change of AROM between both groups did not vary significantly. Conclusion Night extension splinting following needle aponeurotomy may not improve AROM of the MCP or PIP joints.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 it