The Effect of Clopidogrel on the Response to Ischemia Reperfusion
Bibliographic record
Abstract
Reperfusion in the setting of acute ischemia is essential in limiting tissue necrosis. However, reperfusion itself is associated with significant adverse effects. There is animal evidence that platelets play a role in the adverse effects of ischemia and reperfusion (IR) injury. We examined whether clopidogrel would have favorable effects on endothelial dysfunction induced by an episode of IR. Using a parallel design, we administered clopidogrel 600 mg or matching placebo to normal volunteers (n = 20) 24 hours before an episode of IR. Flow-mediated dilatation (FMD, radial artery) was assessed before and after 20 minutes of upper arm ischemia. Following IR, there was a highly significant decrease in FMD in the placebo group (7.6% ± 1.3% vs 3.4% ± 0.1%; P < .001). In the clopidogrel group, there was no change in FMD post-IR (8.3% ± 0.8% vs 7.1% ± 1.2%; P = not significant). Following IR, FMD in the placebo group was significantly smaller than that observed in the clopidogrel group ( P < .01). Ischemia and reperfusion caused no change in plasma levels of biomarkers of inflammation (intercellular adhesion molecule 1, chemokine ligand 5, and interleukin 6) in either group. Therefore, a single dose of clopidogrel given 24 hours prior to an episode of IR had protective effects, limiting the adverse effects of ischemia on endothelial function.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".