Prevalence of Comorbid Hyperparathyroidism and Its Association with Renal Dysfunction in Asian Patients with X-Linked Hypophosphatemic Rickets/Osteomalacia
Bibliographic record
Abstract
In patients with X-linked hypophosphatemic rickets/osteomalacia (XLH) in Asia, the current prevalence of hyperparathyroidism and its association with renal dysfunction have not been determined. We used patient data retrospectively collected up to the time of informed consent in the SUNFLOWER study, a long-term observational study, to investigate the current treatment status and prevalence of comorbid hyperparathyroidism and its association with renal dysfunction in patients with XLH in Japan and South Korea. Of 69 patients who met the eligibility criteria, 32 (46.4%) did not have hyperparathyroidism (hereinafter referred to as non-hyperparathyroidism), 33 (47.8%) had secondary hyperparathyroidism, and four (5.8%) had tertiary hyperparathyroidism. Men were more prone to develop secondary and tertiary hyperparathyroidism, use oral phosphate at higher frequencies, and have a higher incidence of Stage ≥ 3 chronic kidney disease and Grade ≥ 3 renal calcification than women. Ongoing treatments for patients with XLH and non-hyperparathyroidism, secondary hyperparathyroidism, and tertiary hyperparathyroidism mainly consisted of active vitamin D (30 [93.8%], 25 [75.8%], and 3 [75.0%], respectively) and oral phosphate (21 [65.6%], 23 [69.7%], and 4 [100.0%], respectively). At informed consent, patients with tertiary hyperparathyroidism had the lowest estimated glomerular filtration rate values. Our study highlights the prevalence of comorbid hyperparathyroidism and its association with renal dysfunction in patients with XLH through a large-scale observational study in Asia.Trial registration: NCT03745521; UMIN000031605.
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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".