Evidence mapPaperPMID 28856830Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2017

Spousal concordance for hypertension: A meta-analysis of observational studies.

Zhancheng Wang, Wenhui Ji, Yanqiu Song, Jin Li, Yan Shen, Hongchao Zheng, Yueyou Ding

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
field-weighted citation impact
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Spousal concordance for hypertension: A meta-analysis of observational studies.Journal of clinical hypertension (Greenwich, Conn.) · 2017
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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

7 authors.

Zhancheng WangDepartment of Cardiology, Shanghai Eighth People's Hospital, Shanghai, China.
Wenhui JiDepartment of Internal medicine, Huajing Community Health Service Centre for Xuhui District, Shanghai, China.
Yanqiu SongDepartment of Cardiology, Shanghai Eighth People's Hospital, Shanghai, China.
Jin LiDepartment of Cardiology, Shanghai Eighth People's Hospital, Shanghai, China.
Yan ShenDepartment of Cardiology, Shanghai Eighth People's Hospital, Shanghai, China.
Hongchao ZhengDepartment of Cardiology, Central Hospital of Xuhui District, Shanghai, China.
Yueyou DingDepartment of Cardiology, Central Hospital of Xuhui District, Shanghai, China.ORCID http://orcid.org/0000-0002-8145-4607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors performed a meta-analysis of observational studies to estimate the magnitude of spousal concordance for hypertension and to examine whether the concordance varied by important study methodological aspects. PubMed and Embase were searched up to June 2017 for cross-sectional, case-control, and cohort studies that investigated the concordance/association of hypertension between spouse pairs. A meta-analysis with random-effects models was performed by pooling adjusted odds ratios. Eight studies with a total number of 81 928 spouse pairs were eligible. The pooled results showed that spouses of individuals with hypertension had 41% (odds ratio, 1.41; 95% confidence interval, 1.21-1.64) increased odds of having hypertension themselves. The association applied to both men and women, and was not significantly different between studies with adjustment for body mass index and those without. The findings highlighted the importance of environmental factors in the development of hypertension.

Indexed as

EnvironmentEpidemiologic StudiesFemaleHumansHypertensionMaleRisk FactorsSpousesenvironmental factorshypertensionmeta-analysisspousal concordance

Identifiers

PMID28856830
PMCPMC8030758

What Socratic 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 Socratic graph.