Evidence map›Paper›PMID 25820176›Full record

ArticleScientific reports2015

Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations.

Guanghua Wang, Liang Zheng, Xiankai Li, Juanli Wu, Lijuan Zhang, Jie Zhang, Liling Zou, Xin Li, Yi Zhang, Qian Zhou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. 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
0.4field-weighted citation impact, top 32% 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, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Observational
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.

Guanghua WangShanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
Liang ZhengResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
Xiankai LiDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Juanli WuDepartment of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
Lijuan ZhangDepartment of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
Jie ZhangDepartment of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
Liling ZouDepartment of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
Xin LiResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
Yi ZhangDepartment of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
Qian ZhouShanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
Huimin FanResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
Yang LiDepartment of Health Management Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Jue LiDepartment of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
Tongji University · CNShanghai East Hospital · CNShanghai First Maternity and Infant Hospital · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to investigate the viability of using brachial-ankle pulse wave velocity (baPWV) as a primary tool to screen metabolic syndrome (MetS), and to explore the risk factors of MetS in community populations. A total of 1914 subjects completed medical examination in Shanghai. BaPWV was significantly associated with the components of MetS. The area under curve (AUC) and its 95% confidence interval (CI) in total group were 62.50% and 60.00%-65.30% with the appropriate cut-off point being 1435 cm/sec. The AUC (95%CI) of three subgroups (40-50 yrs, 50-60 yrs and over 60 yrs group) were 75.30% (67.48%-83.35%), 63.35% (58.96%-67.60%), 55.37% (51.19%-60.01%), respectively. A clear pattern surfaced in the process of investigation: the younger were the subjects group, the better receiver operating characteristic (ROC) efficacy would emerge; and the higher sensitivity was, the better negative predictive value (NPV) would be. Male gender, high baPWV values, elevated uric acid (UA) and excess hypersensitive C reaction protein (hs-CRP) levels were stayed in the two regression models as the independent risk factors for MetS. We conclude that baPWV may serve as a potential screening tool for MetS at the cut-off point of 1435 cm/sec.

Indexed as

Heart RatePulse Wave AnalysisAdultAgedAged, 80 and overAnkle Brachial IndexChinaFemaleHumansMaleMetabolic SyndromeMiddle AgedRisk Factors

Identifiers

PMID25820176
PMCPMC4377586
OpenAlexW2064308728

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.