In-stent Restenosis after Drug-eluting Stent Implantation in Rheumatoid Arthritis: Possible Protective Effect of Methotrexate
Bibliographic record
Abstract
Patients with rheumatoid arthritis (RA) are at higher risk of cardiovascular events compared with the general population1. Therefore, these patients with RA have a greater chance of undergoing percutaneous coronary intervention (PCI). In-stent restenosis (ISR) after PCI results from damage to arteries with subsequent neointimal tissue proliferation2 and is considered the most significant problem in coronary interventional treatment. Compared with bare-metal stents (BMS), drug-eluting stents (DES) have dramatically reduced the rate of ISR3. Nevertheless, ISR after DES still exists, with an occurrence of 3–20%. Methotrexate (MTX), the most important drug used in RA, is a folate antagonist that blocks the S phase of cell division and consequently blocks mitosis4. An intravenous injection of MTX resulted in the reduction of in-stent neoatherosclerosis in an animal model5. Further, a clinical study suggested the positive effect of oral MTX on ISR after BMS implantation6. However, little is known about the effect of oral MTX on ISR after DES implantation. Therefore, we aimed to assess whether the oral administration of MTX in … Address correspondence to Dr. Y.G. Kim, Division of Rheumatology, University of Ulsan, College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea. E-mail: bestmd2000{at}amc.seoul.kr
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".