Evidence map›Paper›PMID 29066453›Full record

ArticleJournal of the American Heart Association2017

Cumulative Exposure to High-Sensitivity C-Reactive Protein Predicts the Risk of Cardiovascular Disease.

Aitian Wang, Jie Liu, Chunguang Li, Jingli Gao, Xiaolan Li, Shuohua Chen, Shouling Wu, Hui Ding, Haojun Fan, Shike Hou

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

  1. Pooled it
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  10. Repeat CRP measurements and incident myocardial infarction.American journal of preventive cardiology · 2026
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9 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

10 authors at 6 institutions in 1 country.

Aitian WangTianjin Medical University, Tianjin, China.
Jie LiuDepartment of Cardiology, Affiliated Hospital of North China University of Science and Technology, Tangshan, China.
Chunguang LiDepartment of Cardiology, Tangshan Workers' Hospital, Tangshan, China.
Jingli GaoDepartment of Intensive medicine, Kailuan General Hospital, Tangshan, China.
Xiaolan LiDepartment of Intensive medicine, Kailuan General Hospital, Tangshan, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China Drwusl@163.com huoshikedr@126.com.
Hui DingKey Laboratory of Emergency and Disaster Medicine in Chinese People's Liberation Army, Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People's Army Police Forces, Tianjin, China.
Haojun FanKey Laboratory of Emergency and Disaster Medicine in Chinese People's Liberation Army, Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People's Army Police Forces, Tianjin, China.
Shike HouKey Laboratory of Emergency and Disaster Medicine in Chinese People's Liberation Army, Institute of Disaster Medicine and Public Health, Affiliated Hospital of Logistics University of Chinese People's Army Police Forces, Tianjin, China Drwusl@163.com huoshikedr@126.com.
Kailuan General Hospital · CNLogistics University of People's Armed Police Force · CNChinese People's Liberation Army · CNNorth China University of Science and Technology · CNTangshan People's Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne measurement of hs-CRP (high-sensitivity C-reactive protein) is associated with increased risk of cardiovascular disease (CVD). The objective of this study was to characterize the association of cumulative exposure to increased hs-CRP with incident cardiovascular events. METHODS AND

resultsWe included 53 065 participants with hs-CRP measured at 3 examinations in 2006, 2008, and 2010. Cumulative exposure to hs-CRP was calculated as the weighted sum of the average hs-CRP level for each time interval (level×time). Participants were classified into nonexposed group (hs-CRP<3.0 mg/L in all 3 examinations), 1-exposed group (hs-CRP≥3.0 mg/L in 1 of the 3 examinations), 2-exposed group (hs-CRP≥3.0 mg/L in 2 of the 3 examinations), and 3-exposed group (hs-CRP≥3.0 mg/L in 3 examinations). Cox proportional hazards models were used to assess the association of cumulative hs-CRP with incident CVD. The study showed a dose-response pattern with risk of CVD and myocardial infarction as the number of years of exposure to hs-CRP increases. Participants in the 3-exposed group had significantly increased CVD risk with hazard ratio (95% confidence interval) of 1.38 (1.11-1.72), in comparison with 1.28 (1.07-1.52) for participants in the 2-exposed group and 1.13 (0.97-1.31) for those in the 1-exposed group (

conclusionsCumulative exposure to hs-CRP was dose dependently associated with a subsequent increased risk of CVD and myocardial infarction. CLINICAL

trial registrationURL: https://www.clinicaltrials.gov/. Unique identifier: ChiCTR-TNC-11001489.

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesChinaChi-Square DistributionC-Reactive ProteinFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedMyocardial InfarctionPrognosisProportional Hazards ModelsBiomarkersC-Reactive Proteincardiovascular diseasecohort studyhigh sensitivity C‐reactive proteinincidencerisk factor

Identifiers

PMID29066453
PMCPMC5721824
OpenAlexW2765137883

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.