Safety of thyroidectomy and cervical neck dissection without drains
Bibliographic record
Abstract
BACKGROUND: Many studies have reported that drainage after thyroidectomy does not decrease the rate of local postoperative complications. We sought to review the safety of thyroidectomy combined with cervical neck dissection (CND) without drainage. METHODS: The medical records of consecutive patients who underwent thyroidectomy without drainage were retrospectively reviewed. Two groups were defined depending on whether CND was or was not performed. The main outcome was identification of patients with cervical bleeding, hematoma or seroma. RESULTS: We included 1127 patients (139 who had CND and 988 who did not). Of these, 207 patients (18%) had transient postoperative hypocalcemia, 9 (0.8%) had permanent postoperative hypoparathyroidism, 56 (5%) had transient postoperative hoarseness and 7 (0.6%) had permanent vocal cord paralysis. A total of 44 patients (4%) experienced postoperative hematoma and/or seroma: 8 patients (6%) who had CND and 36 (4%) who did not. There was no major bleeding in the 2 groups; all patients had minor bleeding or seroma not requiring surgical intervention. The postoperative stay in hospital for both groups was 1 day in 92% of patients. Wound infection occurred in 0.8% of all patients: 1 (0.7%) who had CND and 8 (0.8%) who did not. There was no significant difference between the groups in overall perioperative complications or in time of hospital discharge. CONCLUSION: Thyroidectomy without drains is safe and effective, even in combination with CND.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".