Haemostatic devices in parotid surgery: a systematic review
Bibliographic record
Abstract
OBJECTIVE: The Harmonic Scalpel and Ligasure (Covidien) devices are commonly used in head and neck surgery. Parotidectomy is a complex and intricate surgery that requires careful dissection of the facial nerve. This study aimed to compare surgical outcomes in parotidectomy using these haemostatic devices with traditional scalpel and cautery. METHOD: A systematic review of the literature was performed with subsequent meta-analysis of seven studies that compared the use of haemostatic devices to traditional scalpel and cautery in parotidectomy. Outcome measures included: temporary facial paresis, operating time, intra-operative blood loss, post-operative drain output and length of hospital stay. RESULTS: A total of 7 studies representing 675 patients were identified: 372 patients were treated with haemostatic devices, and 303 patients were treated with scalpel and cautery. Statistically significant outcomes favouring the use of haemostatic devices included operating time, intra-operative blood loss and post-operative drain output. Outcome measures that did not favour either treatment included facial nerve paresis and length of hospital stay. CONCLUSION: Overall, haemostatic devices were found to reduce operating time, intra-operative blood loss and post-operative drain output.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".