Comparing Hematoma Incidence between Hemostatic Devices in Total Thyroidectomy: A Systematic Review and Meta‐analysis
Bibliographic record
Abstract
OBJECTIVE: Alternative energy devices have become a popular alternative to conventional hemostasis in thyroid surgery. These devices have been shown to reduce operative time and thermal nerve injury. As hemostasis is paramount in thyroid surgery, we sought to examine the relative efficacy of 2 alternate energy devices compared to conventional hemostasis in preventing postoperative hematoma following total thyroidectomy. DATA SOURCES: Ovid MEDLINE, EMBASE, PubMed, and Cochrane Central Register of Controlled Trials. REVIEW METHODS: A systematic literature search was performed for all relevant English-language studies published between 1946 and July 2018. Two authors independently extracted data and analyzed articles for quality using the National Institute of Health Quality Assessment Scale. Our primary outcome of interest was hematoma requiring reoperation. RESULTS: = .370, .317). Network meta-analysis echoed the results of conventional meta-analysis, demonstrating no significant difference in hematoma rates. CONCLUSIONS: We found no significant difference in postoperative hematoma rates following total thyroidectomy for any indication with the use of alternate energy devices compared to conventional hemostatic techniques. This suggests that hematoma occurrence does not necessarily need to be considered when choosing between these hemostatic devices. This information may help guide surgeons' decisions regarding choice of hemostatic technique during thyroid surgery.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.025 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".