Evidence map›Paper›PMID 31516267›Full record

ReviewJournal of clinical and experimental hepatology

Screening of Cardiovascular Disease in Nonalcoholic Fatty Liver Disease: Whom and How?

Narendra S Choudhary, Ajay Duseja

Abstract readReview
In one paragraph

Review in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Metabolic disease and the liver: A review.World journal of hepatology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. The Link between NAFLD and Metabolic Syndrome.Diagnostics (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors.

Narendra S ChoudharyInstitute of Liver Transplantation and Regenerative Medicine, Medanta the Medicity, Gurgaon, Delhi (NCR), India.
Ajay DusejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide. Patients with NAFLD are at a higher risk of developing cardiovascular disease (CVD). In fact, CVD-related mortality is more common in patients with NAFLD in comparison to liver-related mortality. This association is related to the common metabolic risk factors such as obesity, dyslipidemia, diabetes, and hypertension shared by both NAFLD and CVD, and also there is independent association of NAFLD with CVD because of risk factors such as insulin resistance, systemic inflammation, and atherogenic dyslipidemia. While there is abundant literature on association of NAFLD with CVD, there is sparse literature regarding the screening for CVD in patients with NAFLD. In the current review article, we discuss as to which patients with NAFLD to screen and how to screen for CVD.

Indexed as

atherosclerosisBMI, Body Mass IndexCAD, Coronary Artery DiseaseCI, Confidence IntervalcirrhosisCVD, Cardiovascular DiseaseDM, Diabetes MellitusDSE, Dobutamine Stress ECHOHDL, High-Density Lipoproteinhs-CRP, High-Sensitivity C-Reactive ProteinILTS, International Liver Transplantation SocietyLDL, Low-Density Lipoproteinmetabolic syndromeNAFLD, Nonalcoholic Fatty Liver DiseaseNAFL, Nonalcoholic Fatty LiverNASH, Nonalcoholic SteatohepatitisOR, Odds Ratiorisk scoresscreening

Identifiers

PMID31516267
PMCPMC6728527

What OpenQuestion holds

Textmetadata
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.