Clinical Presentation of the Longest Reported Living Individual With Bent Bone Dysplasia— <i>FGFR2</i> ‐Related
Bibliographic record
Abstract
The FGFR2 gene, encoding the FGFR2 protein, plays a crucial role in embryonic cell development, particularly in bone tissue. Bent Bone Dysplasia (BBD), FGFR2-related (MIM# 614592), is a rare severe skeletal dysplasia characterized by craniofacial differences, reduced bone mineral density, and bowed long bones. Only 14 individuals have been reported, of which the majority died prenatally or neonatally. We report the clinical trajectory of a 4-year-old male with BBD, FGFR2-related (FGFR2, c.1141T>G), who initially presented neonatally with respiratory insufficiency requiring intubation, facial dysmorphism, and skeletal differences. He is able to walk, is interactive, has a tracheostomy for mechanical ventilation at night and a gastrostomy tube, and continues to make steady developmental progress. He is currently the longest reported living individual and with BBD, FGFR2-related in the literature to date. Our findings suggest that BBD, FGFR2-related is not definitively lethal perinatally. While the risk for complications and early postnatal death remains high, as demonstrated in previous literature, survival beyond the early postnatal period is possible. This report broadens the known postnatal developmental and medical trajectory of BBD, FGFR2-related, which is crucial for providing comprehensive genetic counseling.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".