ArticleBMC geriatrics2023
Application of genetic risk score for in-stent restenosis of second- and third-generation drug-eluting stents in geriatric patients.
Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03877614 (Application of Artificial Intelligence Deep Learning to the Correlation Between Cardiovascular Disease and Individualized Differences), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Application of Artificial Intelligence Deep Learning to the Correlation Between Cardiovascular Disease and Individualized Differences
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Risk Factors and Incidence for In-Stent Restenosis with Drug-Eluting Stent: A Systematic Review and Meta-Analysis.Reviews in cardiovascular medicine · 2024Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe second-and third-generation drug-eluting stents (DESs) in-stent restenosis (ISR) genetic risk score (GRS) model has been previously validated. However, the model has not been validated in geriatric patients. Therefore, we conducted this study to test the feasibility of the DES-ISR GRS model in geriatric patients with coronary artery disease (CAD) in Taiwan.
methodsWe conducted a retrospective, single-center cohort study and included geriatric patients (age ≥ 65 years) with CAD and second-or third-generation DES(s) deployment. Patients undergoing maintenance dialysis were excluded. ISR was defined as ≥ 50% luminal narrowing on the follow-up coronary arteriography. The DES-ISR GRS model included five selected exonic single-nucleotide polymorphisms (SNPs): CAMLG, GALNT2, C11orf84, THOC5, and SAMD11. The GRS was defined as the sum of the five selected SNPs for the risk allele.
resultsWe enrolled 298 geriatric patients from January 2010 and December 2019 in this study. After propensity score matching, there were 192 geriatric patients with CAD in the final analysis, of which 32 patients had ISR. Patients were divided into two groups based on their GRS values: low (0-2) and high (≥ 3) GRS. A high GRS was significantly associated with DES-ISR in geriatric patients.
conclusionThose geriatric patients with a high GRS had significantly higher second-or third-generation DES ISR rates. The five SNP-derived DES-ISR GRS model could provide genetic information for interventional cardiologists to treat geriatric patients with CAD.
trial registrationThe primary study protocol was registered with clinicaltrials.org. with registration number: NCT03877614; on March 15, 2019. ( http://clinicaltrials.gov/ct2/show/NCT03877614 ).
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