Evidence map›Paper›PMID 32882111›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2020

Social determinants status and hypertension: A Nationwide Cross-sectional Study in China.

Congyi Zheng, Zengwu Wang, Xin Wang, Zuo Chen, Linfeng Zhang, Yuting Kang, Ying Yang, Linlin Jiang, Runlin Gao, China Hypertension Survey Investigators

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 26 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

10 authors at 1 institution in 1 country.

Congyi ZhengDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Zengwu WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.ORCID 0000-0003-1613-5076
Xin WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Zuo ChenDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Linfeng ZhangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Yuting KangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Ying YangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Linlin JiangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Runlin GaoDepartment of Cardiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
China Hypertension Survey Investigators
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the association between unbalanced social determinants status and hypertension (HTN) in China, we conducted a cross-sectional survey in a sample of 299 220 Chinese in 2012 to 2015. Social determinants status were measured with: (a) district-level:Per capita GDP (Per_GDP), the number of hospital beds per 1000 residents (Per 1000_bed) and tertiary industry added value (TIAV); (b) individual-level: education and employment conditions. Compared with the poorest level of Per_GDP, the middle and richest group had higher risk of HTN [OR, 95%CI: 1.12 (1.09-1.14) and 0.99 (0.96-1.02)] and higher possibility of HTN awareness, treatment, and control. Higher risk of HTN and lower possibility of awareness, treatment, and control were associated with elevated Per 1000_bed in rural area. Higher possibility of HTN control was associated with the higher TIAV (P

Indexed as

HypertensionSocial Determinants of HealthChinaCross-Sectional StudiesHumansMalePrevalenceRisk Factorshypertensionprevalencesocial determinants statusthe China Hypertension Survey (CHS)

Identifiers

PMID32882111
PMCPMC8029675
OpenAlexW3083535087

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.