Evidence map›Paper›PMID 41884637›Full record

ArticleFrontiers in cardiovascular medicine2026

Risk of new-onset diabetes across individual statins in secondary prevention: results from the Korean national health insurance service cohort.

Eun Jin Park, Yoonjee Park, Dong Oh Kang, Soohyung Park, Seung-Young Roh, Jin Oh Na, Jin Won Kim, Eung Ju Kim, Seung-Woon Rha, Chang Gyu Park and 1 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

11 authors.

Eun Jin ParkCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Yoonjee ParkCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Dong Oh KangCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Soohyung ParkCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Seung-Young RohCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Jin Oh NaCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Jin Won KimCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Eung Ju KimCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Seung-Woon RhaCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Chang Gyu ParkCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Cheol Ung ChoiCardiovascular Center, Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Statins are the cornerstone of secondary prevention in atherosclerotic cardiovascular disease (ASCVD), but their association with new-onset diabetes mellitus (NODM) remains incompletely defined. Whether the risk of NODM differs among individual statins within the same intensity class has not been well established. Methods: Using the Korean National Health Insurance Service (NHIS) database, we identified 29,826 patients with established ASCVD who initiated statin therapy between 2009 and 2012 and were followed for up to five years. The primary endpoint was incident NODM, defined by new diagnostic coding plus antidiabetic medication use after a three-year window period. The secondary endpoint was major adverse cardiac and cerebrovascular events (MACCE). Results: Overall, 11,918 patients (40.0%) developed NODM. The incidence of NODM was comparable between high- and moderate-intensity statins (42.9% vs. 41.1%). In the moderate-intensity group, rosuvastatin (adjusted HR 1.07, 95% CI 1.01-1.14), pravastatin (HR 1.19, 95% CI 1.02-1.38), and simvastatin (HR 1.15, 95% CI 1.06-1.20) were associated with higher NODM risk compared with atorvastatin, while fluvastatin and pitavastatin showed no significant differences. MACCE incidence was similar across statins. Discussion: In this nationwide secondary prevention cohort, the risk of NODM differed across individual statins despite comparable cardiovascular outcomes. These findings suggest that the diabetogenic effect of statins may be agent-specific rather than a uniform class effect, highlighting the importance of individualized statin selection balancing metabolic and cardiovascular benefits.

Indexed as

atherosclerotic cardio-cerebral vascular diseases (ASCVD)National Health Insurance Service (NHIS)new onset diabetes mellitussecondary preventionstatinstatin intensity

Identifiers

PMID41884637
PMCPMC13008627

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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.