Bibliographic record
Abstract
OBJECTIVE: To describe the use of octreotide in the management of 2 cases of sulfonylurea-induced hypoglycemia following overdose and to review the literature on the use of octreotide in the management of sulfonylurea overdose. CASE SUMMARY: Case 1 describes a 27-year-old woman who ingested 500 mg of glyburide; case 2 describes a 22-year-old woman following ingestion of glyburide 1000 mg. Despite administration of bolus doses of dextrose 50% and infusions of dextrose 10%, both patients demonstrated refractory hypoglycemia. Three doses of octreotide 50 micro g were administered subcutaneously spaced 8 hours apart to both patients, resulting in a reduction of hypoglycemic episodes and a reduced need for dextrose administration. DISCUSSION: In addition to the 2 cases described, 8 citations involving 23 patients with sulfonylurea overdose in which octreotide was used were identified in the literature. As with our patients, episodes of hypoglycemia and the need for bolus doses of dextrose 50% were reduced following administration of octreotide. CONCLUSIONS: The use of octreotide appears to reduce the number of hypoglycemic episodes and glucose requirements, with no reported toxicities associated with its use for sulfonylurea-induced hypoglycemia following overdose.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".