Endoscopic fasciotomy for chronic exertional compartment syndrome of the forearm: Systematic review of outcomes and complications
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Endoscopic fasciotomy of the forearm for chronic exertional compartment syndrome (CECS) has gained popularity recently. AIM: To systematically review the literature of endoscopic fasciotomy for CECS of the forearm, aiming to assess the outcomes and complications of the different endoscopic fasciotomy techniques described in the literature. METHODS: On January 18, 2021, PubMed and EMBASE were searched by 3 reviewers independently, and all relevant studies published up to that date were considered based on predetermined inclusion/exclusion criteria. The subject headings "endoscopic fasciotomy" and "compartment syndrome" and their related key terms were used. The Preferred Reporting Item for Systematic Reviews and Meta-Analyses statement was used to screen the articles. RESULTS: A total of seven studies including 183 patients (355 forearms) were included. The mean age of the patients was 31.2 years (range: 15-42 years). The postoperative follow-up duration ranged from 6 wk to 4.9 years. All patients were able to return to sport activities between postoperative weeks 1 to 8. Recurrence of the compartment syndrome occurred in three patients, giving a rate of 1.6% per patient and 0.8% per forearm. The overall complication rate was 8.7% per patient, and 4.5% per forearm. The most common reported complication was hematoma (7 forearms; 2.0%). CONCLUSION: Endoscopic fasciotomy for CECS of the forearm has favorable short- and mid-term outcomes with very low recurrence and complication rates. This, however, needs to be confirmed in larger, long-term follow-up, prospective, comparative studies between open, mini-open and endoscopic fasciotomy techniques.
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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 | 0.000 |
| 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