Use of antiplatelets and lipid lowering therapy in patients with peripheral vascular disease
Bibliographic record
Abstract
OBJECTIVE: To investigate the use of antiplatelet and lipid lowering therapy among patients undergoing peripheral vascular surgery, and to compare their use with that reported among a similar population of patients in Canada. METHODS: Chart review of a cohort of 52 patients undergoing peripheral vascular surgery. The study was carried out at King Fahad National Guard Hospital, Kingdom of Saudi Arabia in May 2000. RESULTS: On discharge, less than 50% of the patients received any antiplatelet or antithrombotic medication. Only 13% of the patients received lipid-lowering therapy. Those findings parallel those of Canadian publications. CONCLUSION: Current literature supports the use of anti platelet and lipid-lowering therapy among patients with peripheral vascular disease. In King Fahad Hopsital, National Guard, Kingdom of Saudi Arabia, the use of those beneficial interventions is likely sub-optimal. Factors other than randomized clinical trail derived evidence likely influence practice and behavior. Whether dissemination of evidence may change such a pattern of behavior requires further study.
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 | 0.004 |
| 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 | 0.000 |
| 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".