Parathyroid Hormone as a Predictor of Hypocalcemia after Thyroidectomy
Why this work is in the frame
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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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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
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 it