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 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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".