"ProC Global": A functional screening test that predicts recurrent venous thromboembolism
Bibliographic record
Abstract
Abnormalities of the Protein C (PC) pathway are found in the majority of patients with thrombophilia. ProC Global is a coagulation assay that reflects the net effect of the PC pathway by measuring the activated partial thromboplastin time (APTT) of patient and control plasma, before and after activation of endogenous PC by Protac, a snake venom. Previous studies have suggested that abnormalities in this test are associated with an increased risk of venous thromboembolism (VTE). A retrospective analysis was performed using frozen plasma samples from 140 patients with confirmed VTE to determine whether an abnormal ProC Global result (in the presence and in the absence of known abnormalities in the PC pathway) is a predictor of initial and recurrent VTE. Patients were tested for the presence of activated protein C resistance, Factor V Leiden, PC and protein S (PS) deficiency, and non-specific inhibitor positivity. Mean ProC Global results were significantly lower in patients with recurrent VTE than in patients without recurrent VTE. The association between abnormal ProC Global result and recurrent VTE showed a strong trend, before (odds ratio, OR 3.6) and after (OR 3.1) exclusion of known thrombophilic abnormalities. Patients with a first episode of idiopathic VTE also expressed significant lower ProC Global results than those with secondary VTE. After exclusion of known PC pathway abnormalities, there was a statistically significant association between abnormal ProC Global and initial idiopathic VTE (p=0.04). These results suggest that ProC Global may serve as a predictor of recurrent VTE and potentially for first episode of idiopathic VTE. ProC Global may help identify patients at increased risk of initial and recurrent VTE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".