Clinical Aspects of Cardiomyopathy in Dialysis Patients
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
The burden of cardiac disease in dialysis patients is high. Congestive heart failure, ischemic heart disease, left ventricular hypertrophy, and systolic dysfunction occur frequently and are associated with an adverse prognosis. In addition, during dialysis therapy anemia, hypoalbuminemia, low blood pressure, and lower serum creatinine levels are adverse predictors of mortality. Risk factors for systolic dysfunction include older age, ischemic heart disease, hyperparathyroidism, and smoking. Risk factors for left ventricular hypertrophy include older age, hypertension, anemia, and diabetes mellitus. Interventions with potential for improving cardiomyopathy include normalization of hematocrit with erythropoietin, improved uremia therapy, and angiotensin-converting enzyme inhibitors. Trials to determine the most appropriate interventions to reduce the impact of cardiac disease in chronic uremia are urgently required.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it