Haemostasis in ischaemic stroke and vascular dementia
Bibliographic record
Abstract
Abnormalities of coagulation and fibrinolysis may play an important role in the pathogenesis of ischaemic stroke and vascular dementia. We aimed to determine whether haemostatic function is altered in acute recent-onset or chronic ischaemic cerebrovascular disease. We studied consecutive patients with ischaemic stroke (n = 74) and vascular dementia (n = 42) compared with healthy controls (n = 40) in a case-control study. The ischaemic stroke group was assessed twice, 3-10 days after the acute stroke and at 1-3 months. Fibrinogen, fibrin D-dimer (marker of fibrin turnover) and von Willebrand factor (vWF) (marker of endothelial disturbance) were elevated acutely (P < 0.0001) and in the convalescent phase after ischaemic stroke (P < 0.0001, P < 0.0001, and P < 0.01 respectively, compared with controls). Similar results were seen in the vascular dementia group. Stepwise multivariate regression analyses showed that cerebrovascular disease correlated independently with fibrinogen (P < 0.001) and fibrin D-dimer levels (P < 0.001), while vWF correlated independently with electrocardiograph evidence of ischaemic heart disease (P = 0.004). Changes between acute and convalescent phases in ischaemic stroke were slightly inconsistent. However, in the acute stage there were tendencies for fibrinogen, D-dimer and vWF to be increased, and factor VIII was significantly higher. Abnormalities of haemostasis, including increased fibrin turnover and endothelial disturbance, are found in both acute and chronic cerebral ischaemia. Many of these patients have co-existent ischaemic heart disease and this may contribute to some of these changes. Acute ischaemic stroke is associated with transient changes in haemostatic factors; however, most abnormalities persist into the convalescent phase, and are also demonstrable in subjects with vascular dementia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".