Evidence map›Paper›PMID 42493197›Full record

ArticleOpen heart2026

Development and validation of a nomogram predicting all-cause mortality for patients with an implantable cardioverter defibrillator.

Bin Zhou, Lei Ding, Xuerong Sun, Shuang Zhao, Keping Chen, Yangang Su, Jiefu Yang, Zhaoguang Liang, Wei Xu, Daoliang Zhang and 6 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Open heart, 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

16 authors.

Bin ZhouDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.ORCID http://orcid.org/0000-0002-8578-8655
Lei DingArrhythmia Center, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID http://orcid.org/0000-0002-4840-7817
Xuerong SunDepartment of Cardiology, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing, China.
Shuang ZhaoArrhythmia Center, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Keping ChenArrhythmia Center, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yangang SuDepartment of Cardiology, Zhongshan Hospital Fudan University, Shanghai, China.
Jiefu YangDepartment of Cardiology, Beijing Hospital, Beijing, China.
Zhaoguang LiangDepartment of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Wei XuDepartment of Cardiology, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Daoliang ZhangDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.
Teng LiDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.
Jun LiuDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.
Wei HuaDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China.
Min TangArrhythmia Center, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China zhangshufw@163.com liaozysf@163.com doctortangmin@yeah.net.ORCID http://orcid.org/0000-0001-7323-3698
Zhiyong LiaoDepartment of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China zhangshufw@163.com liaozysf@163.com doctortangmin@yeah.net.ORCID http://orcid.org/0009-0009-7119-7182
Shu ZhangArrhythmia Center, Fuwai Hospital, National Centre for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China zhangshufw@163.com liaozysf@163.com doctortangmin@yeah.net.ORCID http://orcid.org/0000-0003-1288-6737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients with a high risk of sudden cardiac death, despite the benefits of an implantable cardioverter defibrillator (ICD), some patients are still at high risk of death.

aimThe purpose of this study was to develop and validate a nomogram predicting all-cause mortality for patients with an ICD.

methodsWe retrospectively analysed the data of multicentre ICD registration study from 2010 to 2014 in China. A total of 617 ICD patients formed a development cohort. The physical activity monitored by ICD and clinical data was collected. Univariate and multivariate Cox regression analyses were used to screen mortality predictors and construct the nomogram. The performance of the nomogram was evaluated by the consistency index (C-index) and the calibration curve. Additionally, extensive subgroup and sensitivity analyses were conducted to evaluate the model's robustness. A total of 196 ICD patients formed a validation cohort.

resultsIn the development cohort, physical activity, diabetes and left ventricular end-diastolic diameter were selected as independent prognostic factors. The nomogram was constructed by these three factors. The C-index of the nomogram was 0.80 (95% CI 0.75 to 0.84). The calibration curve showed that the predicted survival probability of the nomogram was in good agreement with the actual survival probability. In the validation cohort, the C-index of the nomogram was 0.74 (95% CI 0.64 to 0.84), and the calibration curve still maintained good consistency. Crucially, the nomogram maintained stable and excellent discriminative capacity across primary and secondary prevention subgroups, as well as for predicting specific cardiac and sudden cardiac death.

conclusionsOur study develops and validates a nomogram predicting all-cause mortality for patients with an ICD by integrating the physical activity monitored by ICD and clinical data. The nomogram performs well and can provide personalised death risk assessment for ICD patients. TRIAL REGISTRATION NUMBER: ChiCTR-ONRC-13003695.

Indexed as

Death, Sudden, CardiacDefibrillators, ImplantableElectric CountershockNomogramsAgedCause of DeathChinaFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRegistriesReproducibility of ResultsRetrospective StudiesDeath, Sudden, CardiacDefibrillators, ImplantableTachycardia, Ventricular

Identifiers

PMID42493197
PMCPMC13405011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.