Postoperative Parathyroid Hormone Levels in Conjunction with Corrected Calcium Values as a Predictor of Post-Thyroidectomy Hypocalcemia: Review of Outcomes 1 Year after the Implementation of a New Protocol
Bibliographic record
Abstract
OBJECTIVES: To determine the effectiveness of post-thyroidectomy parathyroid hormone (PTH) levels in conjunction with corrected calcium values as predictors of patients at risk of developing hypocalcemia. METHODS: This is a follow-up study reviewing the results of a newly implemented post-thyroidectomy algorithm. The changes in management from the previous protocol involve decision making based on the 12-hour corrected calcium and PTH levels, as well as the 1-hour PTH value. The study involved 120 patients separated into two groups: 60 prior to implementation of the protocol and 60 following the implementation of the protocol. Patients having completion thyroidectomy, neck dissections, or parathyroidectomy were excluded. RESULTS: Since the implementation of the new protocol, there has been a reduction in the rate of transient hypocalcemia (25% to 12%; p = .059), fewer blood tests (23 to 15 per patient), and earlier patient discharges. CONCLUSIONS: The new algorithm is effective in detecting patients who are not at risk of developing hypocalcemia at 12 hours. This has led to significant cost savings at our institution. Moreover, calcium supplementation based on the 1-hour PTH level has coincided with a reduction in cases of transient hypocalcemia.
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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 | 0.000 |
| 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 | 0.000 |
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".