A cardiac magnetic resonance imaging study of long-term and incident hemodialysis patients
Bibliographic record
Abstract
BACKGROUND: The cardiovascular morphology and function in long-term survivors of hemodialysis are not well described. METHODS: Single-center cross-sectional study nested within a prospective cohort study of 15 long-term (> 7.5 years) and 15 matched incident (< 6 months) hemodialysis patients with 15 external matched controls. Evaluations included heart structure, function and fibrosis (myocardial longitudinal relaxation time, native T1), and aortic dimensions and elasticity, using cardiovascular magnetic resonance (CMR). Coronary artery calcification (CAC) scores were evaluated from computed tomography (CT). RESULTS: Incident hemodialysis patients had significantly increased left ventricular mass, greater aortic dimensions and reduced aortic distensibility compared to long-term survivors, whereas the CAC score was significantly higher in long-term than incident patients, median (95% CI) 1127 (10-3861) vs 14 (0-268). Both incident and long-term hemodialysis groups had significantly higher native T1 values compared to controls, mean (95% CI) 1300 ms (1273-1326), 1274 ms (1243-1305) versus 1224 ms (1202-1246), respectively, suggesting interstitial fibrosis or edema. Compared to controls, both hemodialysis groups also had significantly lower left ventricular ejection fraction: 48.7% (43.6-53.9), 54.0% (48.3-59.7) versus 62.2% (58.0-66.4) and longitudinal strain: 14.0% (11.7-16.2), 15.2% (12.7-17.7) versus 19.6% (17.8-21.5). CONCLUSIONS: Incident hemodialysis patients had larger left ventricular mass and unfavorable aortic structure and function compared to long-term survivors, despite a lower CAC burden. Long-term survivors, despite normal ventricular mass and volumes, had signs of fibrosis or edema, given their significantly increased native T1 values.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".