Prognostic implications of clinical practice guidelines among hemodialysis patients
Bibliographic record
Abstract
Although the National Kidney Foundation (NKF) has published clinical practice guidelines for the management of risk factors for cardiovascular disease, these guidelines have not been tested rigorously for their effectiveness. We conducted an observational study among patients with end-stage kidney disease to examine the prognostic impact of threshold levels recommended by the NKF for blood pressure, hemoglobin, calcium-phosphate product, parathyroid hormone, low-density lipoprotein, and glycosylated hemoglobin. The study population (N = 197) was assembled from a previously completed randomized trial examining arteriovenous graft thrombosis. Cox proportional hazard analysis was used to calculate hazard ratios for the association of levels outside guideline recommended targets and death, adjusting for age, comorbidity, race, and albumin. The proportion of patients outside guideline targets ranged from 33% to 81%, and the impact of levels outside guideline targets on mortality varied substantially. Elevated calcium-phosphate product and glycosylated hemoglobin had harmful effects, with adjusted hazard ratios of 1.58 (95% CI 1.00-2.50; p = 0.050) and 2.21 (95% CI 0.99-4.97; p = 0.054), respectively. Nontarget levels for blood pressure, hemoglobin, and parathyroid hormone had little effect, with adjusted hazard ratios of 1.15 (95% CI 0.74-1.78; p = 0.542), 1.04 (95% CI 0.65-1.68; p = 0.866), and 0.90 (95% CI 0.50-1.61; p = 0.722), respectively. Elevated low-density lipoprotein had a paradoxically beneficial effect, with an adjusted hazard ratio of 0.48 (95% CI 0.23-1.00; p = 0.049). These results suggest that the prognostic impact of current threshold levels recommended by select NKF guidelines on mortality is variable. Accordingly, the development and implementation of clinical practice guidelines should be accompanied by corresponding efforts to confirm their impact on patient outcomes. Such efforts are essential for the improvement of guidelines and to inform health policy optimally.
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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 | 0.006 | 0.103 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".