[Parathyroidectomy in end-stage renal disease: perioperative management of calcium-phosphorus balance].
Bibliographic record
Abstract
The management of metabolic problems following parathyroidectomy in end stage renal disease remains poorly defined. Hypocalcemia is a common and serious complication in the post-operative period. The objective of the present study was to develop a protocol for the management of patients during the immediate perioperative period based on the best available data from the literature, and to verify its effectiveness and safety in three patients on chronic hemodialysis. A patient management protocol was developed based on data reported in the literature and was subsequently tested on three chronic dialysis patients suffering from tertiary hyperparathyroidism with an indication of parathyroidectomy. According to the literature, the risk of hypocalcemia following parathyroidectomy can be decreased by tight surveillance of calcium levels and preventive administration of calcium and vitamin D analogue to patients at high risk of hypocalcemia. By applying this protocol, profound hypocalcemia was avoided and the immediate post-operative period was uneventful in the three patients under study. In summary, the proposed protocol is safe and effective for the peri-parathyroidectomy management of patients on chronic hemodialysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".