Effect of autofluorescence monitoring on postoperative permanent hypoparathyroidism after total thyroidectomy
Bibliographic record
Abstract
Abstract Purpose: Post-operative hypoparathyroidism (POHP), permanent or temporary, is the commonest complication of thyroidectomy. To avoid hypoparathyroidism after thyroidectomy a few centers including ours have explored the use of parathyroid autofluorescent properties intra-operatively (AFI). The present supplementary study aimed to determine the rates of permanent POHP in patients undergoing total thyroidectomy (TT) 12 months after surgery and whether the introduction of AFI resulted in the reduction of its incidence. Methods: This was a supplementary prospective observational single-center study including the patients presenting postoperative temporary hypoparathyroidism after having undergone a scheduled TT and been randomly allocated into: (i) patients operated without near-infrared imaging (non-NIR group) and (ii) patients operated with near-infrared imaging (NIR group). These patients were re-evaluated, regarding albumin, 25-hydroxy-vitamin D, serum calcium, phosphorus, and PTH 12 months postoperatively. Results: In the NIR group were significantly fewer patients experiencing permanent POHP compared to the non-NIR group (0.00% versus 9.09%, p<0.001). Consequently, the level of PTH and serum total calcium were significantly lower in the non-NIR group 12 months after TT (p<0.001 and p=0.033 respectively). Conclusion: The ability of AFI to demonstrate parathyroid glands with high accuracy during TT decreases significantly the incidence of permanent POHP resulting in better outcomes after thyroid surgery.
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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".