Clinical presentation and molecular basis of congenital antithrombin deficiency in children: a cohort study
Bibliographic record
Abstract
In this study we report the largest descriptive cohort of congenital antithrombin (AT) deficiency in children, its clinical presentation, molecular basis and genotype-phenotype correlation. Paediatric patients diagnosed with AT deficiency at two tertiary care children's hospitals over a 10-year period were retrospectively reviewed. SERPINC1 gene sequencing was offered to subjects who did not already have the test performed. Molecular modelling and stability simulations were performed for the novel mutations identified. Twenty-nine subjects from 18 pedigrees were identified. Mean age (± standard deviation) at diagnosis and mean duration of follow-up were 8.4 (± 6.6 years and 6.6 (± 5.7 years respectively. Most recent mean AT activity and AT antigen levels (n = 20) were 0.5 (± 0.0) iu/ml and 0.6 (± 0.1) iu/ml respectively. Ten subjects were diagnosed secondary to low AT activity measured following venous thrombo-embolism (VTE). All 10 subjects had additional risk factors at the time of VTE. None of the 19 subjects diagnosed with AT deficiency in the setting of positive family history have had VTE with 7.4 (± 5.8) years follow-up. Mutation analysis has been completed on 19 subjects from 16 pedigrees. Nine unique mutations, including 4 novel mutations were identified.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".