Evidence map›Paper›PMID 29581553›Full record

SynthesisJournal of human hypertension2018

Body mass index, abdominal fatness, and hypertension incidence: a dose-response meta-analysis of prospective studies.

Wen Zhou, Yuanyuan Shi, Yu-Qian Li, Zhiguang Ping, Chongjian Wang, Xuejiao Liu, Jie Lu, Zhen-Xing Mao, Jingzhi Zhao, Lei Yin and 4 more

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Journal of human hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Wen ZhouDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Yuanyuan ShiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Yu-Qian LiDepartment of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Zhiguang PingDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Chongjian WangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.ORCID http://orcid.org/0000-0001-5091-6621
Xuejiao LiuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Jie LuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Zhen-Xing MaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Jingzhi ZhaoDepartment of Endocrinology, Military Hospital of Henan Province, Zhengzhou, 18 Jinshui Road, Henan, 450003, China.
Lei YinDepartment of Endocrinology, Military Hospital of Henan Province, Zhengzhou, 18 Jinshui Road, Henan, 450003, China.
Dongdong ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Zhongyan TianDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Lulu ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China.
Linlin LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, China. lilinlin@zzu.edu.cn.ORCID http://orcid.org/0000-0001-7076-2594
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the established relationship of obesity to hypertension, the question as to whether there is a linear association between these two morbidities is unanswered. To quantitatively evaluate the relationship between obesity and hypertension, we carried out a dose-response meta-analysis of studies that looked at the relationship of different adiposity measures to hypertension. We searched PubMed, Embase, and Web of Science databases for articles published before 27 June 2017. A random-effects model was used to pool relative risks and 95% confidence intervals. Restricted cubic spline analysis was used to model the relationship. A total of 59 studies were included. Fifty-seven cohort studies with 125,071 incident cases among 830,685 participants were included in the analysis of body mass index and hypertension with the summary relative risk for per 5-unit increment in body mass index of 1.50 (95% confidence interval: 1.40-1.59). We found that the risk of hypertension in the body mass index analysis was greater in populations where the baseline body mass index was <25 kg/m

Indexed as

Body Mass IndexWaist CircumferenceWaist-Hip RatioHumansHypertensionIncidenceObesityProspective Studies

Identifiers

PMID29581553
OpenAlexW2795136139

What OpenQuestion holds

Textmetadata
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.