Evidence map›Paper›PMID 27942514›Full record

ReviewAnnals of translational medicine2016

Hepatitis B virus infection and risk of coronary artery disease: a meta-analysis.

Karn Wijarnpreecha, Charat Thongprayoon, Panadeekarn Panjawatanan, Patompong Ungprasert

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Thrombocytopenia in Virus Infections.Journal of clinical medicine · 2021
    Review
  13. Article
  14. Observational
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.

Karn WijarnpreechaDepartment of Internal Medicine, Bassett Medical Center, Cooperstown, NY, USA.
Charat ThongprayoonDepartment of Internal Medicine, Bassett Medical Center, Cooperstown, NY, USA.
Panadeekarn PanjawatananDepartment of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Patompong UngprasertDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA; ; Division of Rheumatology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis B virus (HBV)-infected patients might be associated with coronary artery disease (CAD) from process of chronic inflammation. However, available studies yield conflicting results. This meta-analysis was performed to assess risk of CAD in HBV-infected patients.

methodsWe searched MEDLINE and EMBASE for relevant literatures from database inception to June 2016. Studies comparing the risk of CAD among HBV-infected patients versus subjects without HBV infection using hazard ratio (HR), odd ratios, or relative risk (RR) were included. Random-effect model and generic inverse variance method were used to combine odds ratio (OR) and 95% confidence interval (CI).

resultsA total of five studies, including three cross-sectional studies, one case-control study, and one cohort study, were subjected to analysis. The result demonstrates no significant risk of CAD among chronic HBV-infected patients and subjects without HBV infection (OR, 0.68; 95% CI, 0.40-1.13).

conclusionsThis meta-analysis did not demonstrate a significantly increased risk of CAD among HBV-infected patients.

Indexed as

coronary artery disease (CAD)heart attackHepatitis B virus (HBV)meta-analysismyocardial infarction

Identifiers

PMID27942514
PMCPMC5124622

What OpenQuestion holds

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Read underepoch 390

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.