LigaSure versus conventional hemostasis in thyroid surgery: prospective randomized controlled trial.
Bibliographic record
Abstract
BACKGROUND: Meticulous hemostasis is a critical and often time-consuming step of safe thyroid surgery. The LigaSure system (Valleylab, Boulder, CO) is a diathermy hemostasis method that fuses vessel walls to form a collagen seal. Previous studies have shown reduced operative times in thyroidectomy using the LS system. The primary objective of the study was to compare operative times using the LS system to conventional titanium clips and surgical ties (CLTs). Secondary outcomes included vocal cord dysfunction, scores on the Voice Handicap Index (VHI), postoperative hypocalcemia, and operative costs between the two groups. METHODS: Twenty-eight patients were block randomized to thyroidectomy with either the LS system or CLTs. Patient demographics, operative times, pre- and postoperative VHI scores, vocal cord endoscopy, and operative costs were collected on all patients. Patients were also monitored for clinically significant hypocalcemia postoperatively. RESULTS: The mean operative time for CLTs was 68.6 minutes (SD 14.56) versus 68.5 minutes (SD 27.47) for the LS system, which was not statistically significant. VHI scores differed between CLTs and the LS system for the postoperative score only: CLT 19.83 (SD 19.81) versus LS 6.57 (SD 10.83). This was statistically significant, with p = .041. No difference was detected for hypocalcemia rates or endoscopic vocal cord dysfunction. The operative cost for the LS system was $387.15 (SD $11.93) and for the CLTs was $73.60 (SD $27.72), which was statistically significant (p < .001). CONCLUSION: The use of the LS system in thyroidectomy did not reduce overall operative time by a clinically significant level, indicating limited utility in terms of cost reduction contradictory to current literature.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".