Effect of burosumab conversion on calciuria and nephrocalcinosis in children with XLH: A real-world cohort study
Bibliographic record
Abstract
Background: Burosumab, a monoclonal antibody to fibroblast growth factor 23 (FGF23), is effective for X-linked hypophosphatemic rickets (XLH). Renal effects, particularly calciuria and nephrocalcinosis, remain incompletely characterized. Methods: In this retrospective cohort, 13 children with genetically confirmed XLH (7 females, 6 males; 0.6-16.3 years) were evaluated after conversion from conventional therapy to burosumab. Longitudinal changes in serum phosphate, TmP/GFR, TRP, 1,25(OH)₂D, intact parathyroid hormone (PTH), and urinary calcium/creatinine (Ca:Cr) were assessed. Hypercalciuria was defined using age-specific SI thresholds; Ca:Cr was also expressed as ×ULN (Ca:Cr divided by the age-specific upper limit). Results: < 0.05), whereas 1,25(OH)₂D did not. Conclusion: Burosumab improves phosphate homeostasis in children with XLH, but a minority may develop hypercalciuria and nephrocalcinosis, potentially linked to PTH suppression. Vigilant biochemical and ultrasound monitoring-particularly early after conversion-and consideration of prophylaxis in high-risk cases are advisable.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".