Evidence map›Paper›PMID 34310813›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2021

The association between ECG criteria and Echo criteria for left ventricular hypertrophy in a general Chinese population.

Tingting Lv, Yifang Yuan, Jing Yang, Guijin Wang, Lingyun Kong, Huijuan Li, Xingjie Li, Yingxian Sun, Xuewen Li, Zheng Zhang and 11 more

Open access · goldAbstract read
In one paragraph

Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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  12. The association between ECG criteria and Echo criteria for left ventricular hypertrophy in a general Chinese population.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    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

21 authors at 9 institutions in 1 country.

Tingting LvDepartment of Cardiology, Tsinghua University, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Beijing, China.
Yifang YuanPeking University, Clinical Research Institute, Beijing, China.
Jing YangDepartment of Cardiology, Tsinghua University, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Beijing, China.
Guijin WangDepartment of electronic engineering, Tsinghua University, Beijing, China.
Lingyun KongDepartment of Cardiology, Tsinghua University, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Beijing, China.
Huijuan LiPeking University, Clinical Research Institute, Beijing, China.
Xingjie LiDepartment of Cardiology, Jining NO. 1 People's Hospital, Jining, China.
Yingxian SunDepartment of cardiology, First Affiliated Hospital of China Medical University, Shenyang, China.
Xuewen LiDepartment of cardiology, Shanxi Academy of medical sciences, Shanxi Dayi Hospital, Taiyuan, China.
Zheng ZhangDepartment of Cardiology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Xiaoshu ChengDepartment of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Lirong WuDepartment of cardiology, The Affiliated Hospital of Guiyang Medical College, Guiyang, China.
Xuerui TanDepartment of Cardiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Bing HanDepartment of cardiology, Xuzhou Central Hospital, Xuzhou, China.
Hua LiDepartment of Cardiology, Tsinghua University, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Beijing, China.
Zhaoguo ZhangDepartment of cardiology, First Hospital of Integrated Chinese and Western Medicine, Beijing, China.
Jiayu WangDepartment of cardiology, People's Hospital of peking University, Beijing, China.
Yangfeng WuPeking University, Clinical Research Institute, Beijing, China.
Yanfang WangPeking University, Clinical Research Institute, Beijing, China.
Jihong GuoDepartment of cardiology, People's Hospital of peking University, Beijing, China.
Ping ZhangDepartment of Cardiology, Tsinghua University, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-5843-1108
Peking University · CNBeijing Tsinghua Chang Gung Hospital · CNIntegrated Chinese Medicine (China) · CNJining First People's Hospital · CNChina Medical University · CNNanchang University · CNShantou University · CNTsinghua University · CNXuzhou Central Hospital · CN

Funding

Beijing Municipal Administration of Hospitals' Ascent Plan DFL20190902Ministry of Science and Technology of the People's Republic China 2013BAI17B06National Key Research and Development Program of China 2017YFB1401804
6 · The paper itself

Abstract

backgroundSeveral ECG criteria have been widely used for diagnosis of left ventricular hypertrophy (LVH) in clinical practice. However, their performance in a general Chinese population is limited. METHODS AND

resultsA multi-stage, stratified cluster sampling across China was performed and 7415 representative Chinese adults aged 18-85 years were analyzed. ECG was collected by using GE MAC 5500 machine. The association between five ECG-LVH criteria (i.e., Peguero-Lo Presti, Cornell, Cornell product, Sokolow-Lyon and Sokolow-Lyon product) and echocardiographic LVH (Echo-LVH) was assessed by Pearson's correlation, diagnostic statistics like predictive values, and receiver operating characteristics (ROC) curve. We found that the prevalence of the Echo-LVH was 11% while ECG-LVH ranged from 3% to 27%. All ECG-LVH criteria had high negative predictive value (NPV) (89%) and specificity (73-96%) but low positive predictive value (PPV) (12-24%) and sensitivity (4-29%). The newly Peguero-Lo Presti criteria had higher sensitivity (29%) but lower specificity (73%) and accuracy (68%) compared with other criteria. Cornell product had the best diagnostic performance (AUC: 0.59), as well as the highest specificity (96%) and accuracy (86%) but lowest sensitivity (4%). Among single-lead components of ECG criteria, R

conclusionECG-LVH criteria had high NPV to detect Echo-LVH. Though with higher sensitivity, Peguero-Lo Presti criteria did not have better diagnostic performance to detect Echo-LVH. R

Indexed as

HypertensionHypertrophy, Left VentricularChinaEchocardiographyElectrocardiographyHumansECGechocardiographyhypertensionleft ventricular hypertrophy

Identifiers

PMID34310813
PMCPMC8411759
OpenAlexW3183728706

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.