Evidence map›Paper›PMID 29845121›Full record

ArticleOpen medicine (Warsaw, Poland)2018

Inflammatory Biomarkers and Risk of Atherosclerotic Cardiovascular Disease.

En Yu, Hsin-Yin Hsu, Chun-Yuan Huang, Lee-Ching Hwang

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

En YuDepartment of Family Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Hsin-Yin HsuDepartment of Family Medicine, Mackay Memorial Hospital, Taipei, Taiwan.
Chun-Yuan HuangDepartment of Family Medicine, China Medical University Hospital Taipei Branch, Taipei, Taiwan.
Lee-Ching HwangDepartment of Family Medicine, Mackay Memorial Hospital, No. 92, Sec. 2, Zhongshan North Road, Taipei City 10449, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease is an increasing health issue that associates with the development of atherosclerotic cardiovascular disease. This study correlates the association between fatty liver and inflammatory biomarkers with cardiovascular risk scores. METHODOLOGY: This cross-sectional study enrolled 10,181 health examination participants from Northern Taiwan and administered a standardized questionnaire with important biochemical tests and abdominal sonography. To assess concentrations of inflammatory markers high sensitivity C-reactive protein (hs-CRP) and fibrinogen were used.

resultsInflammatory marker levels were significantly increased with increasing fatty liver. In multivariate logistic regression analysis adjusted for major confounding factors, the odds ratios of elevated hs-CRP and fibrinogen were significantly higher in participants with mild or moderate-to-severe fatty liver compared to healthy individuals. The cardiovascular risk scores, above cut-off level 10%, were associated with higher levels of inflammatory biomarkers and fatty liver; odds ratio, 3.52 (2.60-4.77) for non-alcoholic fatty liver disease with hs-CRP, and 2.92 (2.12-4.00) for non-alcoholic fatty liver disease with fibrinogen.

conclusionInflammatory biomarkers (hs-CRP and fibrinogen) are significantly associated with augmentation of fatty liver. Non-alcoholic fatty liver disease may be a predictor of future atherosclerotic cardiovascular disease, and the prediction value increases on adding inflammatory biomarkers levels.

Indexed as

AtherosclerosisCardiovascular riskInflammatory biomarkersNon-alcoholic fatty liver disease

Identifiers

PMID29845121
PMCPMC5968412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.