Endothelial Progenitor Cells in Patients with Acute Cerebrovascular Ischemia
Bibliographic record
Abstract
OBJECTIVE: Statins have been shown to increase endothelial progenitor cells (EPCs) in patients with cardiovascular disease. However, there is no similar study that has been done on the patients recovering from cerebrovascular disease. We present the largest prospective study of statin therapy on EPC levels of patients recovering from stroke. METHOD: Our study subjects were treated with rosuvastatin (10 mg/day) over a period of 12 weeks. Blood was collected from these patients periodically and EPC levels were measured along with other biochemical parameters. RESULTS AND CONCLUSIONS: Our study shows that rosuvastatin treatment significantly reduces the low density lipoprotein (LDL) levels in the patients over the 12 weeks. However, we did not find any corresponding changes in the EPC levels during this time period. Earlier reports indicated that statin use could increase EPC proliferation. Our research, however, indicates that the in-vivo effects of rosuvastatin are not similar to those of previous reports. There may be several reasons for this lack of congruence between these two studies, including age of the study population, predominantly low high density lipoprotein (HDL) levels in our subjects and effects from other concomitant medications.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".