HOMOCYSTEINE AND MALONDIALDEHYDE AS PREDICTORS OF RESTENOSIS FOLLOWING PERCUTANEOUS CORONARY INTERVENTION
Bibliographic record
Abstract
Restenosis is one of the major adverse outcomes of Percutaneous Coronary Intervention (PCI). The purpose of this study is to determine whether or not serum MDA and plasma homocysteine levels are elevated in patients who develop restenosis post PCI. The study included fifty-one patients undergoing elective PCI. Blood samples were collected pre-procedural, 0 time, 8 hours, 24 hours, and 6 months post-procedure. The results of the study showed that the pre-procedural levels of plasma homocysteine were significantly different from those of the post-PCI values in the restenosis group. In the restenosis group there was a significant increase (24%) after six months in the values of homocysteine from the pre-procedural levels. The values of serum MDA increased significantly at six months post-PCI in patients with restenosis. The levels of serum MDA in patients with restenosis at six months increased by one hundred and thirty-eight percent and were significantly different in the restenosis group. The results suggest that pre-procedural levels of plasma homocysteine and serum MDA were not predictors of restenosis following PCI. However, the post-PCI six month levels of both homocysteine and MDA are predictors of restenosis. Moreover, the post-PCI levels of MDA were better predictors of restenosis than the post-PCI levels of homocysteine because the increase in MDA levels were greater at six months, than the rise in homocysteine levels at the same time interval.
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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".