Delayed diagnosis of X-linked hypophosphatemia in the absence of family history: a global unmet need
Bibliographic record
Abstract
Abstract X-linked hypophosphatemia (XLH) is a phosphate-wasting disorder mediated by increased fibroblast growth factor 23 (FGF23) activity. Typical clinical features are skeletal deformities, muscle weakness, stiffness, and impaired physical function. Using real-world data from the XLH Disease Monitoring Program (XLH-DMP) and the International XLH Registry, this study sought to determine whether the age at which XLH is diagnosed differs between children with and without a family history of the disease. In both real-world studies, children with a family history of XLH were diagnosed at a younger age than those without a family history (XLH-DMP [n = 347]: mean age at diagnosis 1.6 [standard error (SE) 0.2] vs 2.7 [SE 0.2] years [p < .001]; International XLH Registry [n = 360]: mean age at diagnosis 1.8 [SE 0.2] vs 4.1 [SE 0.3] years [p < .001]). After controlling for sex, race, ethnicity, and country of residence (Cox proportional hazards model), children with a family history of XLH received a diagnosis of XLH at a younger age than those without a family history (XLH-DMP: hazard ratio 1.69, 95% confidence interval [CI] 1.33-2.16; International XLH Registry: hazard ratio 2.47, 95% CI 1.88-3.24). This study demonstrates that children without a family history of XLH are diagnosed at a significantly older age than those from families known to be affected, and that diagnosis may also be delayed despite a family history of XLH. A greater awareness of XLH and its early symptoms among pediatric healthcare professionals is required to avoid delays in diagnosis and treatment initiation.
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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".