Assessment of coagulation and fibrinolysis in families with unexplained thrombophilia
Bibliographic record
Abstract
Despite knowledge of various inherited risk factors associated with venous thromboembolism (VTE), no definite cause can be found in about 50% of patients. The lack of an intermediate phenotype in VTE impedes the discovery of new familial risk factors. We set out to define an intermediate phenotype for VTE by performing global coagulation analyses in unexplained thrombophilic families. Families were selected through a proband with VTE but without one of the known thrombophilic defects and at least one 1st or two 2nd degree family members with VTE. Clinical data were collected using a standardized questionnaire. Blood samples were collected for overall haemostasis assays (i.e. thrombin generation time [TGT], endogenous thrombin potential [ETP], prothrombin fragment 1+2 [F1+2] and activated protein C-sensitivity ratio [APC-sr] and clot lysis time [CLT]). Data were analysed using logistic regression. Coagulation assays were performed in 353 individuals of whom 41 (12%) had a history of VTE; these belonged to 17 thrombophilic families. Of the tested variables only the ETP was associated with VTE (odds ratio [OR] 1.03 for each % increase, 95% confidence interval [CI] 1.01-1.05). However, the relatively low number of cases does not firmly exclude the other assays as candidate intermediate phenotypes for venous thrombosis. We found that an increased ETP may serve as an intermediate phenotype for VTE and may be used to discover novel inherited risk factors by genetic linkage analysis.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".