Evidence map›Paper›PMID 24349092›Full record

Trial reportPloS one2013

Association of ideal cardiovascular metrics and serum high-sensitivity C-reactive protein in hypertensive population.

Hao Xue, Jianli Wang, Jinhong Hou, Hang Zhu, Jingsheng Gao, Shuohua Chen, Yutang Wang, Yundai Chen, Shouling Wu

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  8. Association among plasma lactate, systemic inflammation, and mild cognitive impairment: a community-based study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
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  16. A prospective follow-up study of the relationship between C-reactive protein and human cancer risk in the Chinese Kailuan Female Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Article
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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

9 authors at 4 institutions in 1 country.

Hao XueDepartment of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Jianli WangDepartment of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, People's Republic of China.
Jinhong HouDepartment of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, People's Republic of China.
Hang ZhuDepartment of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Jingsheng GaoDepartment of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, People's Republic of China.
Shuohua ChenDepartment of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, People's Republic of China.
Yutang WangDepartment of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Yundai ChenDepartment of Cardiology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
Shouling WuDepartment of Cardiology, Kailuan Hospital, Hebei United University, Tangshan, People's Republic of China.
Chinese People's Liberation Army · CNNorth China University of Science and Technology · CNKailuan General Hospital · CNPeople's Liberation Army No. 150 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledIncreased levels of the inflammatory biomarker high-sensitivity C-reactive protein (hs-CRP) are associated with increased risk of cardiovascular disease. However, ideal cardiovascular health indicates lower risk of cardiovascular disease. This study aimed to investigate the effect of ideal cardiovascular health behaviors and health factors on hs-CRP levels among a hypertensive population. From 2006 to 2007, a cross-sectional study was conducted to survey 41,476 hypertensive subjects among the employees of Kailuan Corporation. Data from unified questionnaires and blood biochemical examinations were collected. The effects of ideal cardiovascular health behaviors and health factors on hs-CRP levels were evaluated through multivariate logistic regression analysis. A negative correlation was observed between hs-CRP levels and the number of ideal cardiovascular health metrics. The mean hs-CRP levels of subjects with zero to one, two, three, and four to six ideal cardiovascular health metrics were 1.11, 0.96, 0.90, and 0.80 mg/L, respectively (P<0.01). Multivariate logistic regression analysis revealed that after adjustment for sex, age, triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and other risk factors, the risks for subjects with two, three, and four to six ideal health metrics with serum hs-CRP >3 mg/L were lower than those with zero to one ideal health metrics, with corresponding odd ratios of 0.86 (95%CI: 0.79-0.93, P<0.01), 0.76 (95%CI: 0.69-0.83, P<0.01), and 0.68 (95%CI: 0.64-0.75, P<0.01), respectively. This finding suggests that ideal cardiovascular health behaviors and health factors were related to decreased hs-CRP levels in a hypertensive population. CLINICAL

trial registrationUNIQUE IDENTIFIER: ChiCTR-TNC-11001489.

Indexed as

AdultAgedBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLC-Reactive ProteinCross-Sectional StudiesFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedRisk FactorsSurveys and QuestionnairesBiomarkersBlood GlucoseCholesterol, HDLCholesterol, LDLC-Reactive ProteinTriglycerides

Identifiers

PMID24349092
PMCPMC3862853
OpenAlexW2074056586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.