Evidence map›Paper›PMID 29713050›Full record

ArticleJournal of human hypertension2018

Gaps in awareness and control of hypertension: a cross-sectional study in Chinese urban adults.

Ai Zhao, Shengjie Tan, Ignatius Man-Yau Szeto, Yan Wang, Liping Meng, Ting Li, Wenzhi Zhao, Meichen Wang, Yumei Zhang

Abstract read
PubMed Publisher
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 95% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Ai ZhaoSchool of Public Health, Peking University Health Science Center, Beijing, China.
Shengjie TanSchool of Public Health, Peking University Health Science Center, Beijing, China.
Ignatius Man-Yau SzetoYili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd. Inner Mongolia, Mongolia, China.
Yan WangYili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd. Inner Mongolia, Mongolia, China.
Liping MengYili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd. Inner Mongolia, Mongolia, China.
Ting LiYili Innovation Center, Inner Mongolia Yili Industrial Group Co., Ltd. Inner Mongolia, Mongolia, China.
Wenzhi ZhaoSchool of Public Health, Peking University Health Science Center, Beijing, China.
Meichen WangSchool of Public Health, Peking University Health Science Center, Beijing, China.
Yumei ZhangSchool of Public Health, Peking University Health Science Center, Beijing, China. zhangyumei_pku@163.com.
Peking University · CNInner Mongolia Yili Industrial Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a serious public health threat worldwide. This study sought to explore gaps in urban Chinese adults' awareness and control of hypertension. A cross-sectional study was carried out in eight Chinese cities in 2016. Participants were organized into four groups on the basis of blood pressure (BP) and self-reported disease history: healthy group (63.0%), well-controlled BP group (9.1%), unaware hypertension group (14.0%), and poorly controlled BP group (13.9%). Multinomial logistic regression with the healthy group as the reference group showed that younger age and body mass index <24 kg/m

Indexed as

Health Knowledge, Attitudes, PracticeAdultAgedBody Mass IndexChinaCross-Sectional StudiesDiet, HealthyHumansHypertensionMiddle AgedPrevalenceUrban PopulationYoung Adult

Identifiers

PMID29713050
OpenAlexW2802981697

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.