Proposed high‐risk screening protocol for Fabry disease in patients with renal and vascular disease
Bibliographic record
Abstract
Fabry disease is a complex, multisystemic and clinically heterogeneous disease with prominent urinary excretion of globotriaosylceramide (Gb(3)), the principal substrate of the deficient enzyme, alpha-galactosidase A. Some measure of specific treatment is possible with enzyme replacement therapy, which can be applied safely and effectively to Fabry patients. Incidence estimations of Fabry disease vary widely from 1:55 000 to 1:3000 male births. The true incidence is likely to be higher than originally thought, owing to the existence of milder variants of the disease. The main complications of Fabry disease are a 100-fold increased risk of ischaemic stroke, cardiac disease, a wide variety of arrhythmias, valvular dysfunction and cardiac vascular disease, as well as progressive renal failure usually associated with significant proteinuria. These clinical manifestations are non-specific and are often mistaken for symptoms of other disorders, thus complicating the confirmation of diagnosis. Other clinical features of the disease are often absent (angiokeratoma), subtle (corneal opacities and hypohidrosis), or unaccompanied by specific physical findings (acroparaesthesias) indicating the true nature of the underlying disease. We propose the hypothesis that alpha-galactosidase A deficiency is a modifiable cardiovascular risk factor in the general population. This hypothesis may be tested by a non-invasive high-risk screening protocol for Fabry patients with ischaemic strokes and a variety of cardiac, and renal complications. These patients would benefit from diagnosis, appropriate treatment, follow-up and surveillance. Early detection of Fabry patients would also benefit affected relatives, many of whom do not have a clear diagnosis of their clinical condition.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".