Bibliographic record
Abstract
During the past year epidemiological studies have linked elevated plasma total homocysteine concentrations with an increased risk of ischaemic stroke because of arterial disease. Laboratory studies have further explored the mitogenic effects of total homocysteine on vascular smooth muscle, and cytotoxic and thrombophilic effects on vascular endothelium. Also, a clinical trial has shown that lowering total homocysteine by means of multivitamin therapy decreases the rate of abnormal exercise electrocardiography tests. However, it remains to be determined whether lowering total homocysteine prevents hard clinical outcome events, such as stroke and other serious vascular events. An alternative explanation for the observed association between elevated total homocysteine and stroke is a confounding effect of factors associated with hyperhomocysteinaemia (e.g. cigarette smoking, renal impairment, an atherogenic diet, cystine deficiency, folate deficiency) or perhaps even the acute vascular events themselves, whereby the tissue damage temporarily increases total homocysteine levels. The results of ongoing clinical trials in stroke patients to determine the impact of multivitamin therapy on recurrent stroke and other serious vascular events are awaited.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".