Prevention of secondary hyperparathyroidism in hemodialysis patients: The key role of native vitamin D supplementation
Bibliographic record
Abstract
Secondary hyperparathyroidism (SHPT) is a frequent complication in chronic kidney disease, especially in hemodialysis (HD) patients. Treatments for SHPT include calcitriol analogues (CA), phosphate binders, cinacalcet (CC), and surgical parathyroidectomy (PTX). This study aimed to assess the incidence and prevalence of SHPT in a single center during the period when native vitamin D (N-VitD) supplementation and CC treatment became available. All incident and prevalent HD patients were prospectively recorded and compared using 3 periods from 2004 to 2005 (period 1), 2006 to 2007 (period 2), and 2008 to 2009 (period 3). SHPT was diagnosed with serum parathyroid hormone (PTH) levels >300 pg/mL or the need for CA, CC, or PTX. Between periods 1 and 3, in incident patients (n=120 and 101), N-VitD prescription increased from 11% to 68% (P<0.0001), CA prescription remained stable (40%), and patients with PTH>300 pg/mL decreased from 40% to 12% (P<0.0001). In prevalent HD patients (n=235), N-VitD treatment increased from 55% to 91% (P<0.0001), whereas treatment with CA decreased from 67% to 17% (P<0.0001). Patients with serum PTH>300 pg/mL decreased from 38% to 13% (P<0.001), whereas patients with PTH<150 pg/mL remained stable (<30%). New CC prescriptions decreased from 45 to 3 (P<0.0001). Since 2004, SHPT has decreased drastically in incident and prevalent HD patients. The preventive role of N-VitD supplementation appears to be obvious and represents one more argument for its general recommendation in CKD patients.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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 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".