Thirty-Day Outcomes Following Surgical Decompression of Thoracic Outlet Syndrome
Bibliographic record
Abstract
BACKGROUND: Surgical thoracic outlet syndrome (TOS) management involves decompression of the neurovascular structures by releasing the anterior and/or middle scalene muscles, resection of the first and/or cervical ribs, or a combination. Various surgical approaches (transaxillary, supraclavicular, infraclavicular, and transthoracic) have been used with varying rates of complications. The purpose of this study was to evaluate early postoperative outcomes following surgical decompression for TOS. We hypothesized that first and/or cervical rib resection would be associated with increased 30-day complications and health care utilization. METHODS: The American College of Surgeons National Surgical Quality Improvement Program database was reviewed for all TOS cases of brachial plexus surgical decompression in the region of the thoracic inlet from 2005 to 2013. RESULTS: There were 225 patients (68% females; mean age: 36.4 years ± 12.1; 26% body mass index [BMI] ⩾ 30). There were 205 (91%) patients who underwent first and/or cervical rib resection (±scalenectomy), and 20 (9%) underwent rib-sparing scalenectomy. Compared with rib-sparing scalenectomy, rib resection was associated with longer operative time and hospital stays ( P < .001). In the 30 days postoperatively, 8 patients developed complications (rib-scalenectomy, n = 7). Only patients with rib resection returned to the operating room (n = 10) or were readmitted (n = 9). CONCLUSIONS: Early postoperative complications are infrequent after TOS decompression. Rib resection is associated with longer surgical times and hospital stays. Future studies are needed to assess the association between early and long-term outcomes, surgical procedure, and health care utilization to determine the cost-effectiveness of the various surgical interventions for TOS.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".