Benefits Resulting from 1‐and 6‐Hour Parathyroid Hormone and Calcium Levels After Thyroidectomy
Bibliographic record
Abstract
OBJECTIVE: Previous studies have established the efficacy of post-thyroidectomy hypocalcemia monitoring using parathyroid hormone (PTH) and corrected calcium levels at 1 and 6 hours. The goal of this study was to measure the impact of managing patients based on the above findings with respect to: duration of hospital stays, rates of transient hypocalcemia, number of blood tests, cost savings, and discharge from the hospital as early as 8 hours post-thyroidectomy without compromising safety. STUDY DESIGN AND SETTING: This is a prospective study involving 95 total thyroidectomy patients using historical data as controls. The previous protocol was modified in that all blood tests ceased for patients meeting the 6-hour critical level of PTH > or = 28 ng/L and simultaneous corrected calcium > or = 2.14 mmol/L (8.56 mg/dL). Furthermore, patients with 1-hour PTH levels < or = 8 ng/L were prophylactically treated with calcium and vitamin D supplementation. RESULTS: This study demonstrates lower rates of transient hypocalcemia from 28% to 9% (OR = 4.13, P = 0.016), a 10-hour reduction in mean hospital stay, and fewer blood tests (23 vs 15) for patients undergoing total thyroidectomy since the implementation of the new protocol. Furthermore, the experimental protocol resulted in an average cost savings of 766 Canadian dollars per patient. CONCLUSIONS: The new algorithm resulting from PTH and corrected calcium monitoring at 1 and 6 hours post-thyroidectomy has led to significant cost savings for our institution. It has also translated into greater patient satisfaction as a result of fewer blood tests, a lower incidence of transient hypocalcemia, and significantly shorter hospital stays.
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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 | 0.007 |
| 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) | 0.001 | 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".