Evidence map›Paper›PMID 28134279›Full record

ArticleScientific reports2017

Carotid Intima-media Thickness and its Association with Conventional Risk Factors in Low-income Adults: A Population-based Cross-Sectional Study in China.

Bin Liu, Jingxian Ni, Min Shi, Lingling Bai, Changqing Zhan, Hongyan Lu, Yanan Wu, Jun Tu, Xianjia Ning, Junwei Hao and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Bin LiuDepartment of Ultrasound, Tianjin Huanhu Hospital, Tianjin, China, 300350, China.
Jingxian NiDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Min ShiDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Lingling BaiDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Changqing ZhanDepartment of Neurology, Wuhu Second People's Hospital, Wuhu, Anhui 241000, China.
Hongyan LuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Yanan WuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jun TuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Xianjia NingDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Junwei HaoDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Jinghua WangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carotid intima-media thickness (CIMT) is an established predictor of cardiovascular disease and stroke. However, risk factors associated with CIMT remain unclear. Therefore, we aimed to identify factors associated with CIMT in a low-income Chinese population. Stroke-free and cardiovascular disease-free residents aged ≥45 years were recruited. B-mode ultrasonography was performed to measure CIMT. The mean age of participants (n = 3789) was 59.92 years overall, 61.13 years in men, and 59.07 years in women (P < 0.001). Male sex, older age, low education level, smoking, hypertension, and high systolic blood pressure, fasting blood glucose, and low-density lipoprotein cholesterol levels were independent determinants of mean CIMT. Mean CIMT was higher by 18.07 × 10

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesCarotid Artery DiseasesCarotid Intima-Media ThicknessChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPopulation SurveillancePovertyRisk AssessmentRisk Factors

Identifiers

PMID28134279
PMCPMC5278383

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Registered trials

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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.