Evidence map›Paper›PMID 35620321›Full record

ArticleInternational journal of hypertension2022

The Value of Four Anthropometric Indicators for Identifying Left Ventricular Hypertrophy in Chinese Hypertensive Patients.

Bokai Cheng, Nan Lu, Ge Song, Jiaojiao Qiu, Jing Dong, Shuang Cai, Yongkang Su, Jin Sun, Anhang Zhang, Qiligeer Bao and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 2 institutions in 1 country.

Bokai ChengMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Nan LuMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Ge SongDepartment of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Jiaojiao QiuDepartment of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Jing DongDepartment of Geriatrics, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Shuang CaiMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Yongkang SuMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Jin SunMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Anhang ZhangMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Qiligeer BaoMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Man LiMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.
Shouyuan MaDepartment of Geriatric Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China.
Yan ZhangDepartment of Outpatient, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Ping ZhuMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3231-0631
Shuxia WangMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-1103-9010
Chinese PLA General Hospital · CNCentral Military Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricular hypertrophy (LVH) has been classified separately as an independent risk factor for hypertension. However, comparisons between different body size indices and left ventricular hypertrophy (LVH) in hypertensive populations have not been reported yet. In this study, we enrolled 4,639 hypertensive patients from rural China. Anthropometric indices and cardiovascular disease risk factor variables were measured and analyzed using Spearman's correlation, logistic regression, and receiver operating characteristic (ROC) curve analyses. Patients in the highest quartile of body size indices were more likely to have left ventricular hypertrophy than those in the lowest quartile; these indices were BMI (adjusted OR: 3.55, 95% CI: 2.90; 4.35), WC (adjusted OR: 2.23, 95% CI: 1.84; 2.70), WHR (adjusted OR: 1.44, 95% CI: 1.18; 1.75), and WHtR (adjusted OR: 3.23, 95% CI: 2.62; 3.99). The areas under the ROC curves of BMI (AUC: 0.628, 95% CI: 0.612; 0.644), WHtR (AUC: 0.628, 95% CI: 0.560; 0.593), WHR (AUC: 0.530, 95% CI: 0.513; 0.547), and WC (AUC: 0.576, 95% CI: 0.513; 0.547) were all above 0.5, which indicated that the four anthropometric indicators may be associated with LVH. The four anthropometric indicators of obesity were identified as risk factors for LVH. Weight control might help reduce the risk of left ventricular hypertrophy.

Identifiers

PMID35620321
PMCPMC9129951
OpenAlexW4280578934

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.