Evidence map›Paper›PMID 40785820›Full record

ArticleCirculation reports2025

Comparison of Long-Term Outcomes Between Second-Generation Single Long Stents and Overlapping Stents for Long-Diffuse Coronary Artery Disease - Systematic Review and Meta-Analysis.

Masaaki Ikehara, Kaoru Hattori, Hiroshi Niinami, Kiyotaka Iwasaki

Abstract read
In one paragraph

Article in Circulation reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Masaaki IkeharaCooperative Major in Advanced Biomedical Sciences, Joint Graduate School of Tokyo Women's Medical University and Waseda University Tokyo Japan.
Kaoru HattoriDepartment of Cardiovascular Surgery, Tokyo Women's Medical University Tokyo Japan.
Hiroshi NiinamiDepartment of Cardiovascular Surgery, Tokyo Women's Medical University Tokyo Japan.
Kiyotaka IwasakiCooperative Major in Advanced Biomedical Sciences, Joint Graduate School of Tokyo Women's Medical University and Waseda University Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery disease (CAD) is becoming increasingly prevalent in aging populations. Long-diffuse CAD (ldCAD), characterized by lesions ≥30 mm, poses significant treatment challenges. This study aimed to evaluate the long-term prognostic differences between single long stents (SLS) and overlapping stents (OLS) in patients with ldCAD using second-generation and later drug-eluting stents (DES). Methods and Results: A systematic review and meta-analysis of studies published between 2000 and October 2024 in PubMed, Embase, Web of Science, and the Cochrane Library was conducted. The primary outcome was major adverse cardiovascular events (MACE) over 1 year. The secondary outcomes were cardiac death, target lesion revascularization, target vessel revascularization (TVR), and fatal or non-fatal myocardial infarction (MI). The analysis included 5 studies with 2,756 patients, indicating no significant differences between SLS and OLS regarding MACE and TVR. However, MI incidence was significantly lower with SLS, whereas OLS showed a higher MI incidence, likely due to differences in lesion length rather than the strategy itself. Subanalyses indicated that SLS significantly reduced contrast volume compared with OLS, with a trend toward shorter lesions and stent lengths. Conclusions: Stent overlap has minimal impact on prognosis with newer DES. Despite limitations from non-randomized data, further research is needed to optimize ldCAD treatment strategies and guide clinical practice.

Indexed as

Diffuse coronary artery diseaseDrug-eluting stentOverlapping stentSingle long stent

Identifiers

PMID40785820
PMCPMC12331351

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.