MANAGEMENT OF ENDOCRINE DISEASE: Cardiovascular risk assessment, thromboembolism, and infection prevention in Cushing’s syndrome: a practical approach
Bibliographic record
Abstract
Cushing's syndrome (CS) is associated with increased mortality that is driven by cardiovascular, thromboembolic, and infection complications. Although these events are expected to decrease during disease remission, incidence often transiently increases postoperatively and is not completely normalized in the long-term. It is important to diagnose and treat cardiovascular, thromboembolic, and infection complications concomitantly with CS treatment. Management of hyperglycemia/diabetes, hypertension, hypokalemia, hyperlipidemia, and other cardiovascular risk factors is generally undertaken in accordance with clinical care standards. Medical therapy for CS may be needed even prior to surgery in severe and/or prolonged hypercortisolism, and treatment adjustments can be made based on disease pathophysiology and drug-drug interactions. Thromboprophylaxis should be considered for CS patients with severe hypercortisolism and/or postoperatively, based on individual risk factors of thromboembolism and bleeding. Pneumocystis jiroveci pneumonia prophylaxis should be considered for patients with high urinary free cortisol at the initiation of hypercortisolism treatment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".