The impact of anemia correction on cardiovascular disease in end-stage renal disease.
Bibliographic record
Abstract
Cardiovascular disease is a major cause of mortality and morbidity in patients with end-stage renal disease. Anemia, a result of erythropoietin deficiency, is associated with increased all-cause and cardiovascular mortality in this population, and predisposes patients to the development of symptomatic heart disease. Anemia is also associated with the development and progression of left ventricular echocardiographic disorders, which strongly predict cardiac failure and death. Left ventricular dilatation with compensatory hypertrophy, the major pattern of echocardiographic disease progression in hemodialysis patients, is a particularly strong predictor of late mortality. Partial correction of anemia with recombinant human erythropoietin likely reduces left ventricular mass and volume. Complete correction of anemia may prevent progressive left ventricular dilatation in patients with normal left ventricular volumes. A recent trial, however, reports excess mortality and vascular access loss in patients with preexisting symptomatic heart disease when anemia was completely corrected. Consequently, hematocrit target ranges above 32% to 36% cannot be recommended in this population. In patients without symptomatic heart disease, it is not possible to conclude that potential benefits derived from a normalized hematocrit will outweigh potential risks.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".