MINIMALLY INVASIVE PARATHYROIDECTOMY: AN AUDIT OF A CHANGE IN CLINICAL PRACTICE
Bibliographic record
Abstract
BACKGROUND: Minimally invasive parathyroidectomy (MIP) for primary hyperparathyroidism is gaining acceptance as a useful tool in the armamentarium of the endocrine surgeon. METHODS: We undertook an audit of 154 consecutive cases of parathyroidectomy carried out through bilateral neck exploration as well as a minimally invasive approach. RESULTS: Bilateral neck exploration had a 100% single operation cure rate. MIP had a 90% cure rate. Sestamibi localization had a positive predictive value of 99% for identifying an abnormal parathyroid gland. However, it performed poorly in the presence of multiglandular disease, resulting in these patients being at risk of having persistent hyperparathyroidism and therefore requiring a second operation. CONCLUSION: Our results with bilateral neck exploration are favourable compared with other large series. However, we have reported a 10% reoperation rate with MIP. Although not ideal, we are confident that, as a result of improvements based on this audit and with increasing experience, the cure rate will improve to reach international benchmarks. As such we feel that this strategy is a pragmatic way to offer MIP to patients in our region.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| 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".