Looking forward—An evidence‐based approach to glutaryl‐CoA dehydrogenase deficiency
Bibliographic record
Abstract
Three decades after the first description of glutaryl-CoA dehydrogenase deficiency, major progress has been achieved in the prevention of acute striatal necrosis and neurological sequelae in affected children, if diagnosis is made early and treatment is started before manifestation of acute encephalopathic crises. However, all concepts for diagnostic work-up, monitoring, and treatment are solely experience-based, and 10-35% of early-diagnosed children do not or only incompletely benefit from the current management. They still develop neurological deterioration and sequelae despite early implementation of dietary treatment, carnitine supplementation and emergency treatment during acute intercurrent illnesses. International efforts should be made to move management of affected children from experience-based to evidence-based medicine. Major tools for this optimization are the establishment of an international patients' database, the implementation of an international prospective clinical study, and the development of international guidelines for diagnostic work-up, monitoring and therapy.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".