Evidence map›Paper›PMID 34155045›Full record

ArticleBMJ open diabetes research & care2021

Individual and combined contributions of age-specific and sex-specific pulse pressure and brachial-ankle pulse wave velocity to the risk of new-onset diabetes mellitus.

Yuntao Wu, Xu Han, Jingli Gao, Yanxiu Wang, Chenrui Zhu, Zhe Huang, Aijun Xing, Shuohua Chen, Yihan Ma, Mengyi Zheng and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. 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 34% 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

13 authors at 2 institutions in 1 country.

Yuntao Wu *Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Xu Han *Graduate School, North China University of Science and Technology, Tangshan, China.
Jingli GaoDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Yanxiu WangDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Chenrui ZhuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Zhe HuangDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Aijun XingDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Yihan MaDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Mengyi ZhengGraduate School, North China University of Science and Technology, Tangshan, China.
Qian LiuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China.
Yaohua TianDepartment of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China drwusl@163.com yaohua_tian@hust.edu.cn.ORCID 0000-0002-9853-6991
Shouling WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China drwusl@163.com yaohua_tian@hust.edu.cn.ORCID 0000-0001-7095-6022
North China University of Science and Technology · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to investigate the individual and combined effects of age-specific and sex-specific pulse pressure (PP) and brachial-ankle pulse wave velocity (baPWV) on the incidence of new-onset diabetes mellitus. RESEARCH DESIGN AND

methodsParticipants in the Kailuan study cohort who were ≥20 years old, participated in follow-up assessments and underwent baPWV measurements in 2010-2011, 2012-2013, and 2014-2015 were studied. The participants were allocated to four groups according to their PP and baPWV status, each categorized as high or normal, according to age-specific and sex-specific median values. Cox proportional hazards models were used to explore the individual and combined effects of PP and baPWV on the incidence of diabetes mellitus.

resultsThere were 18 619 participants who were followed for 4.27±1.91 years. A total of 877 new cases of diabetes were identified, and the incidence density was 11.03/1000 per year. Using the normal PP and normal baPWV group as the reference group, the multivariable-adjusted HRs and 95% CIs for diabetes mellitus in the high PP and high baPWV groups were 1.08 (0.93 to 1.25) and 1.64 (1.41 to 1.90), respectively. Compared with the normal PP/baPWV group, the HR and 95% CI for diabetes in the normal PP/high baPWV, the high PP/normal baPWV, and high PP/baPWV groups were 1.66 (1.35 to 2.05), 1.09 (0.86 to 1.37), and 1.74 (1.43 to 2.13), respectively.

conclusionsHigh baPWV was independently associated with a higher risk of diabetes mellitus, and individuals with both high baPWV and high PP were at a still higher risk of diabetes mellitus.

Indexed as

Ankle Brachial IndexDiabetes MellitusAdultAge FactorsBlood PressureFemaleHumansMalePulse Wave AnalysisRisk FactorsYoung Adultdiabetes mellitustype 2

Identifiers

PMID34155045
PMCPMC8217932
OpenAlexW3173782116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.