Evidence map›Paper›PMID 42014579›Full record

ArticleNature biomedical engineering2026

Theoretical quantitative model and clinical outcome predictions of conductive cardiac patches for electrophysiological treatments.

Yuchen Miao, Zhenyin Fu, Juhong Zhang, Yuhang Tao, Kai Pang, Chengjun Wang, Qianqian Jiang, Liyin Shen, Tian Xia, Peixuan Lu and 12 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

22 authors.

Yuchen Miao *MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.
Zhenyin Fu *Key Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou, China.
Juhong Zhang *Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yuhang Tao *Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Kai PangMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-4958-0854
Chengjun WangKey Laboratory of Soft Machines and Smart Devices of Zhejiang Province, State Key Laboratory of Brain-Machine Intelligence, Department of Engineering Mechanics, Zhejiang University, Hangzhou, China.
Qianqian JiangKey Laboratory of Soft Machines and Smart Devices of Zhejiang Province, State Key Laboratory of Brain-Machine Intelligence, Department of Engineering Mechanics, Zhejiang University, Hangzhou, China.
Liyin ShenMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.
Tian XiaMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.
Peixuan LuMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.
Zhen XuMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-1352-9176
Ling XiaKey Laboratory for Biomedical Engineering of Ministry of Education, Institute of Biomedical Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-1937-9693
Lijian ZuoMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-0338-1198
Ruiqing DongDepartment of Cardiology, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.
Yumeng LiuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zefeng WangDepartment of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, China.
Nan ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jizhou SongKey Laboratory of Soft Machines and Smart Devices of Zhejiang Province, State Key Laboratory of Brain-Machine Intelligence, Department of Engineering Mechanics, Zhejiang University, Hangzhou, China. jzsong@zju.edu.cn.ORCID http://orcid.org/0000-0003-2821-9429
Changyou GaoMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0001-5084-7208
Ruhong JiangDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China. jrh@zju.edu.cn.ORCID http://orcid.org/0000-0002-1698-2286
Dongdong DengSchool of Biomedical Engineering, Dalian University of Technology, Dalian, China. dengdongdong@dlut.edu.cn.ORCID http://orcid.org/0000-0001-8470-4416
Yang ZhuMOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou, China. zhuyang@zju.edu.cn.ORCID http://orcid.org/0000-0002-7384-607X

Funding

Chinese Ministry of Science and Technology | Department of S and T for Social Development (Department of S&T for Social Development) 2019YFE0117400National Natural Science Foundation of China (National Science Foundation of China) 12225209Science and Technology Department of Zhejiang Province 2024C03074
6 · The paper itself

Abstract

Myocardial infarction (MI) impairs cardiac electrical signal transmission, which could be partially remedied by implantable electroactive biomaterials. Here we characterize electroactive cardiac patches (eCarPs) with conductivities spanning five orders of magnitude both in vitro and in rat models. In contrast to common belief, we reveal that highly conductive eCarPs are more effective in lowering the risk of post-MI arrhythmia and preserving cardiac function with respect to eCarPs with conductivity similar to normal myocardium. We show that highly conductive eCarPs restore electrical signal conduction velocity across infarcted myocardium to healthy levels, while less conductive eCarPs fail to do this. We quantitatively demonstrate that three-dimensional cardiac simulation based on the monodomain model accurately replicates the effect of high-conductivity patches in eliminating conduction blocks in porcine myocardium and the locations of reentrant circuits in patients with MI. Our results suggest that eCarP conductivity higher than healthy human myocardium is preferred for lowering the risk of arrhythmia in patients by reducing the number of reentrants and stabilizing the reentrant routes.

Identifiers

PMID42014579

What OpenQuestion holds

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Registered trials

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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.