Evidence map›Paper›PMID 34501516›Full record

ArticleInternational journal of environmental research and public health2021

Predictive Performance and Optimal Cut-Off Points of Blood Pressure for Identifying Arteriosclerosis among Adults in Eastern China.

Lei Yu, Jiaxiang Yan, Chen Yang, Yanan Gao, Aiwen Wang, Huiming Huang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
1.1field-weighted citation impact, top 21% 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.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 2 institutions in 2 countries.

Lei YuFaculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.
Jiaxiang YanFaculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.
Chen YangDepartment of Kinesiology and Physical Education, McGill University, Montreal, QC H2W 1S4, Canada.
Yanan GaoFaculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.
Aiwen WangFaculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-8121-9332
Huiming HuangFaculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.ORCID 0000-0003-1150-424X
Ningbo University · CNMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the predictive performance and establish optimal cut-off points of blood pressure for identifying arteriosclerosis in eastern Chinese adults. Brachial-ankle pulse wave velocity (baPWV) was utilized to evaluate arteriosclerosis. The predictive performance of blood pressure for arteriosclerosis was determined by the area under the curve (AUC) of receiver operating characteristics; the optimal blood pressure cut-off points were determined by Youden's index. A logistic regression model was used to acquire the odds ratio (OR) of blood pressure for arteriosclerosis. The AUCs of blood pressure for identifying arteriosclerosis were 0.868 (95%CI: 0.860-0.875) for systolic blood pressure (SBP) and 0.835 (95%CI: 0.827-0.843) for diastolic blood pressure (DBP), both

Indexed as

ArteriosclerosisHypertensionAdultAnkle Brachial IndexBlood PressureChinaFemaleHumansMalePulse Wave Analysisarteriosclerosisblood pressurebrachial-ankle pulse wave velocityoptimal cut-off point

Identifiers

PMID34501516
PMCPMC8430655
OpenAlexW3193388705

What OpenQuestion holds

Textmetadata
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.