Parathyroid Hormone as a Predictor of Hypocalcemia after Thyroidectomy
Bibliographic record
Abstract
OBJECTIVES: The aims of this study are to ascertain whether parathyroid hormone (PTH) assay before total/completion thyroidectomy followed by levels immediately thereafter in the recovery room and the morning after surgery are a reliable predictor of hypocalcemia at our institution. In addition, to determine the feasibility of early discharge home from hospital after total thyroidectomy on the basis of postoperative PTH levels. STUDY DESIGN: Prospective clinical study. METHODS: Two hundred one patients undergoing total thyroidectomy at our institution were enrolled in the study. Preoperative levels of PTH, serum calcium, ionized calcium, and albumin were drawn. In the postoperative phase, the same biochemical markers were taken in the recovery room within 1 hour of the procedure and at a standard time the morning after the procedure. Discharge planning took place as per existing standards. RESULTS: Two hundred and one patients were reviewed. PTH levels below 1.1 pmol/L within 1 hour of completion or total thyroidectomy were predictive of risk for developing hypocalcemia, requiring calcium replacement therapy. PTH levels above 1.6 pmol/L were predictive of patients who would remain normocalcemic. Patients who fell in between these two values require further monitoring with conventional calcium levels. CONCLUSIONS: At our institution, PTH assays drawn postoperatively are predictive of patients who are at risk for developing hypocalcemia. Early identification of at-risk patients will facilitate prompt calcium replacement therapy and potential safe early discharge from hospital.
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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 | 0.000 | 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 | 0.001 |
| 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".