Factors Increasing the Likelihood of Postoperative Hematomas Following Thyroid Surgery
Bibliographic record
Abstract
BACKGROUND: Neck hematoma following thyroid surgery is a potentially life-threatening complication. METHODS: This retrospective case-control study reviewed neck hematoma reoperations following thyroid surgery (2009-2024), using 3:1 matching. Univariable analysis identified hematoma and delayed onset (≥ 6 h) risk factors, with odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Among 5502 surgeries, the hematoma incidence was 0.55% (n = 30). The mean age was 54 and the female-to-male ratio was 7:3. Key risk factors included pre-induction blood pressure > 160 mmHg (OR = 3.04 [95% CI = 1.25-7.39], p = 0.014) and limited blood pressure change postmedication (OR = 6.25 [95% CI = 1.03-38.08], p = 0.047). The hematoma group had higher rates of smoking, hypertension, diabetes, Graves' disease, and prior thyroid surgery, and, in delayed hematoma cases, larger nodules, total thyroidectomy, and central neck dissection, though not statistically significant. CONCLUSION: Patients with poorly controlled blood pressure may not be candidates for outpatient thyroidectomy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".