Evidence map›Paper›PMID 34692790›Full record

ArticleFrontiers in cardiovascular medicine2021

Develop and Apply Electrocardiography-Based Risk Score to Identify Community-Based Elderly Individuals at High-Risk of Mortality.

Tzu-Pin Lu, Amrita Chattopadhyay, Kuan-Chen Lu, Jing-Yuan Chuang, Shih-Fan Sherri Yeh, I-Shou Chang, Ching-Yu Julius Chen, I-Chien Wu, Chih-Cheng Hsu, Tzu-Yu Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Tzu-Pin LuDepartment of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
Amrita ChattopadhyayDepartment of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
Kuan-Chen LuDepartment of Public Health, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.
Jing-Yuan ChuangDepartment of Medical Laboratory Science and Biotechnology, China Medical University, Taichung, Taiwan.
Shih-Fan Sherri YehDepartment of Environmental and Occupational Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.
I-Shou ChangInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Ching-Yu Julius ChenCardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
I-Chien WuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Chih-Cheng HsuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Tzu-Yu ChenInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Wei-Ting TsengInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Chao Agnes HsiungInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
Jyh-Ming Jimmy JuangCardiovascular Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
National Health Research Institutes · TWNational Taiwan University · TWNational Taiwan University Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With an aging world population, risk stratification of community-based, elderly population is required for primary prevention. This study proposes a combined score developed using electrocardiographic (ECG) parameters and determines its long-term prognostic value for predicting risk of cardiovascular mortality. A cohort-study, conducted from December 2008 to April 2019, enrolled 5,380 subjects in Taiwan, who were examined, using three-serial-12-lead ECGs, and their health/demographic information were recorded. To understand the predictive effects of ECG parameters on overall-survival, Cox hazard regression analysis were performed. The mean age at enrollment was 69.04 ± 8.14 years, and 47.4% were males. ECG abnormalities, LVH [hazard ratio (HR) = 1.39, 95% confidence intervals (CI) = (1.16-1.67),

Indexed as

community-basedelectrocardiographic abnormality scoreHan Chinese populationlong-term prognosisprevalence

Identifiers

PMID34692790
PMCPMC8531436
OpenAlexW3201888939

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.