Evidence map›Paper›PMID 29374046›Full record

ArticleJournal of the American Heart Association2018

Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States.

Yuan Lu, Pei Wang, Tianna Zhou, Jiapeng Lu, Erica S Spatz, Khurram Nasir, Lixin Jiang, Harlan M Krumholz

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 4 pooled it
17.7field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 4 syntheses or guidelines pooled it, 178 citations in OpenAlex.

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44 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Yuan LuCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital Yale School of Medicine, New Haven, CT.
Pei WangYale School of Public Health, New Haven, CT.
Tianna ZhouCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital Yale School of Medicine, New Haven, CT.
Jiapeng LuNational Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Erica S SpatzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital Yale School of Medicine, New Haven, CT.
Khurram NasirBaptist Health South Florida, Miami, FL.
Lixin JiangNational Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Harlan M KrumholzCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital Yale School of Medicine, New Haven, CT harlan.krumholz@yale.edu.
Yale University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNBaptist Health South Florida · USYale New Haven Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThe reasons for China's high stroke prevalence are not well understood. The cardiovascular risk factor profiles of China and the United States have not been directly compared in nationally representative population samples. METHODS AND

resultsUsing data from the CHARLS (China Health and Retirement Longitudinal Study) and the NHANES (US National Health and Nutrition Examination Survey), we compared cardiovascular risk factors from 2011 to 2012 among people aged 45 to 75 years between the 2 countries (China, 12 654 people; United States, 2607 people): blood pressure, cholesterol, body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, and high-sensitivity C-reactive protein. Compared with the United States, China had a lower prevalence of hypertension but a higher mean blood pressure and a higher proportion of patients with severe hypertension (≥160/100 mm Hg) (10.5% versus 4.5%). China had substantially lower rates of hypertension treatment (46.8% versus 77.9%) and control (20.3% versus 54.7%). Dyslipidemia was less common in China, but lipid levels were not significantly different because dyslipidemia awareness and control rates in China were 3- and 7-fold lower than US rates, respectively. High-sensitivity C-reactive protein, body mass index, and waist circumference were significantly lower in China than in the United States. Clustering of hypertension with other cardiovascular risk factors was more common in China.

conclusionsHypertension is more common in the United States, but blood pressure levels are higher in China, which may be responsible for China's high stroke prevalence. The low rates of awareness, treatment, and control of hypertension provide an exceptional opportunity for China to reduce risk in its population.

Indexed as

Health Status DisparitiesAgedAntihypertensive AgentsAttitude of Health PersonnelBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasFemaleHealth Knowledge, Attitudes, PracticeHumansHypertensionHypolipidemic AgentsAntihypertensive AgentsBlood GlucoseHypolipidemic AgentsLipidscardiovascular diseases preventioncardiovascular diseases risk factorsglobal disparitiesinternational comparison

Identifiers

PMID29374046
PMCPMC5850247
OpenAlexW2785693876

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.