Utility of intraoperative parathyroid hormone measurement in predicting postparathyroidectomy hypocalcemia.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the role of a standardized intraoperative parathyroid hormone (PTH) assay in predicting postoperative hypocalcemia following parathyroidectomy for primary hyperparathyroidism. STUDY DESIGN: Prospective series of 66 patients undergoing unilateral or bilateral parathyroidectomy between January 2004 and June 2005. SETTING: Tertiary care centre in Vancouver, British Columbia. METHODS: Preoperatively, ionized calcium and PTH levels were recorded. A standardized intraoperative PTH assay was used to measure PTH levels on all patients at the following times: just prior to initial incision (Ti), just prior to adenoma excision (T0), and 5 and 10 minutes after excision (T5 and T10, respectively). Calcium levels were drawn at 8 and 16 hours postoperatively. Clinically significant hypocalcemia was defined as a symptomatic patient or a serum ionized calcium < or = 1.1 mmol/L. MAIN OUTCOME MEASURES: Postoperative hypocalcemia following parathyroidectomy. RESULTS: The incidence of postoperative hypocalcemia was 12% (8 of 66). There was no significant correlation between postoperative hypocalcemia and any of the evaluated factors, including intraoperative values of PTH (all p > .05). The percentage change between ioPTH at Ti and at T10 was, however, significantly associated with the development of postoperative hypocalcemia (odds ratio = 3.47 for a 10% decline, p = .03). CONCLUSIONS: Percentage change in intraoperative PTH levels between the initial incision and at 10 minutes post-parathyroid adenoma excision is a significant predictor of postoperative hypocalcemia following parathyroidectomy for primary hyperparathyroidism.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".