MANAGEMENT OF ENDOCRINE DISEASE: Cardiovascular risk assessment, thromboembolism, and infection prevention in Cushing’s syndrome: a practical approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 it