Transverse mini-incision for carpal tunnel release
Bibliographic record
Abstract
Background: Carpal tunnel syndrome is a commonly prevalent entrapment neuropathy characterized by median nerve compression within the carpal tunnel. The aim of this study was to compare the outcomes of transverse mini-incision and traditional mini-palm incision for carpal tunnel release. Methods: A non-randomized interventional study was done at Kurmitola General Hospital, Dhaka and US Bangla Medical College Hospital, Narayangonj between January 2019 and December 2021. Forty-two patients diagnosed with idiopathic carpal tunnel syndrome were allocated to the transverse mini-incision group (n=20) and traditional mini-palm incision group (n=22). Results: Patients operated with transverse mini-incision returned to their work significantly earlier (mean 10.3 days) than patients operated with traditional mini-palm incision (mean 18.7 days). No significant difference was found between transverse mini-incision group and traditional mini-palm incision group as determined by the McGill pain score improvement (P=0.16), the Bangla version of the Boston carpal tunnel questionnaire symptom severity score (P=0.61) and functional severity score (P=0.43). Conclusion: Transverse mini-incision is comparable to the traditional mini-palm incision in terms of pain, other symptoms, and functional outcome. However, patients in transverse mini-incision group could return earlier to work. Bangabandhu Sheikh Mujib Medical University Journal 2023;16(3): 167-171
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".