Evidence map›Paper›PMID 41695513›Full record

ArticleHeart rhythm O22026

Myocardial fibrosis predicts sudden cardiac death in patients with hypertrophic cardiomyopathy after cardiac electronic device implantation: Insights from cardiovascular magnetic resonance imaging.

Bingqi Fu, Xinqiao Lian, Hao Huang, Tianxin Long, Juwei Yang, Yu Jiang, Xiaohui Ning, Xuhua Chen, Hongxia Niu, Minjie Lu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart rhythm O2, 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.

Bingqi FuCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinqiao LianDepartment of Magnetic Resonance Imaging, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hao HuangCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tianxin LongCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Juwei YangCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yu JiangCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaohui NingCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuhua ChenCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongxia NiuCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Minjie LuDepartment of Magnetic Resonance Imaging, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wei HuaCardiac Arrhythmic Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with hypertrophic cardiomyopathy (HCM) face an increased risk of sudden cardiac death (SCD), and myocardial fibrosis is predictive of ventricular arrhythmias. Objective: This study aimed to determine whether the location, pattern, and quantification of myocardial fibrosis predict SCD in patients with HCM after cardiac implantable electronic device (CIED) implantation. Methods: This study included patients with HCM who completed cardiovascular magnetic resonance and received CIED between June 2017 and January 2023. The primary outcome was SCD or SCD-equivalent events (composite of SCD, resuscitated cardiac arrest, sustained ventricular tachycardia or ventricular fibrillation, or appropriate implantable cardioverter-defibrillator therapy). Results: 88 patients were included (age 52.3 ± 15.3 years; 67.0% male). Over a median follow-up period of 38.1 months, 27 SCD events (30.6%) were recorded. Fibrosis in the inferior wall, transmural pattern, total fibrosis, and gray zone fibrosis (GZF) were all significantly associated with SCD risk. Stepwise regression analyses identified the transmural fibrosis pattern (hazard ratio 3.15; 95% confidence interval [CI] 1.22-8.14; Conclusion: Transmural fibrosis and elevated GZF

Indexed as

Cardiac implantable electronic deviceGray zone fibrosisHypertrophic cardiomyopathyMyocardial fibrosisSudden cardiac death

Identifiers

PMID41695513
PMCPMC12902231

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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.