Evidence map›Paper›PMID 42193348›Full record

ReviewBiomedicines2026

From Risk Stratification to Prevention of Myocardial Infarction: Integrating Imaging and Biomarkers in the Perioperative Setting.

Jeong Yoon Jang, Jae Seok Bae, Yun-Ho Cho, Yujin Shin, Han Ra Choi, Jeong Rang Park, Min Gyu Kang, Hye-Ree Kim, Yong-Lee Kim, Hyo Jin Lee and 4 more

Abstract readReview
In one paragraph

Review in Biomedicines, 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

14 authors.

Jeong Yoon JangDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.ORCID 0000-0002-5430-7679
Jae Seok BaeDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.ORCID 0000-0003-4298-6771
Yun-Ho ChoDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.
Yujin ShinDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.
Han Ra ChoiDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.
Jeong Rang ParkDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.
Min Gyu KangDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.
Hye-Ree KimDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.ORCID 0000-0001-5702-8950
Yong-Lee KimDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.
Hyo Jin LeeDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.
Kye-Hwan KimDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.
Jin-Yong HwangDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju 52727, Republic of Korea.ORCID 0000-0002-6632-7239
Sung-Eun ParkDepartment of Radiology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.ORCID 0000-0002-2832-8900
Jong-Hwa AhnDivision of Cardiology, Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon 51472, Republic of Korea.ORCID 0000-0002-5446-0446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perioperative myocardial infarction (MI) and myocardial injury after noncardiac surgery (MINS) remain major causes of postoperative morbidity and mortality, yet optimal perioperative cardiovascular risk stratification remains challenging. This narrative review examines how cardiovascular imaging and circulating biomarkers may be integrated to improve perioperative risk assessment and to support more individualized preventive strategies in patients undergoing noncardiac surgery. We reviewed major clinical guidelines, landmark perioperative cohort studies, and key investigations addressing coronary computed tomography angiography, coronary calcium burden, natriuretic peptides, and cardiac troponin in the perioperative setting. Available evidence suggests that imaging and biomarkers provide complementary information, with imaging primarily reflecting structural coronary disease burden and biomarkers reflecting myocardial stress, biological vulnerability, and perioperative injury. Such multimodal assessment may refine risk estimation beyond conventional clinical indices alone, particularly in selected intermediate-risk patients or those with uncertain functional capacity. However, important limitations remain. Current evidence is heterogeneous across study populations, testing strategies, and endpoints, and standardized pathways for integrating imaging and biomarkers into routine clinical decision-making are not yet established. In addition, cost-effectiveness, accessibility, and the extent to which improved risk discrimination translates into better perioperative outcomes remain uncertain. Overall, the integration of imaging and biomarkers offers a clinically relevant framework for moving from perioperative risk stratification toward prevention, but its practical implementation and outcome benefit require further prospective validation.

Indexed as

biomarkerscardiac troponincoronary computed tomography angiographynatriuretic peptidesnoncardiac surgeryperioperative myocardial infarctionpreventionrisk stratification

Identifiers

PMID42193348
PMCPMC13204826

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.