Comparison of the Incidence of Postoperative Hypocalcemia following Total Thyroidectomy vs Completion Thyroidectomy
Bibliographic record
Abstract
OBJECTIVE: To study the rate of postoperative hypocalcemia following completion thyroidectomy (CT), in comparison with the hypocalcemia rate following total thyroidectomy (TT). STUDY DESIGN AND SETTING: A retrospective study, performed at the McGill University Thyroid Cancer Center, Montreal, Quebec, Canada, from 2007 to 2012. SUBJECTS AND METHODS: Medical records of adult patients undergoing CT and TT operated by a single surgeon were reviewed. Data were extracted for demographics, postoperative calcium levels, surgical logs, and final surgical pathology. Hypocalcemia was defined as corrected serum calcium level ≤ 1.90 mmol/L, with concurrent serum parathyroid hormone <8 ng/L, and/or any signs or symptoms of hypocalcemia. RESULTS: There were 68 CTs and 146 TTs. Transient hypocalcemia occurred in 1 of 68 (1.5%) and 18 of 146 (12.5%) patients in the CT and TT groups, respectively. The rate of hypocalcemia was significantly lower in the CT compared with the TT group (P = .02). In both groups, there were no cases of permanent hypocalcemia. CONCLUSION: The risk of transient of hypocalcemia in patients undergoing CT is significantly lower than the rate of hypocalcemia in patients undergoing TT.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".