Evidence map›Paper›PMID 37753315›Full record

ReviewFrontiers in genetics2023

Advances in genetic variation in metabolism-related fatty liver disease.

Fan Shi, Mei Zhao, Shudan Zheng, Lihong Zheng, Haiqiang Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Contribution ofInternational journal of molecular sciences · 2025
    Article
  5. Review
  6. MAFLD: Exploring the Systemic Effects Beyond Liver.Journal of community hospital internal medicine perspectives · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

5 authors at 2 institutions in 1 country.

Fan ShiSchool of Heilongjiang University of Chinese Medicine, Harbin, China.
Mei ZhaoSchool of Heilongjiang University of Chinese Medicine, Harbin, China.
Shudan ZhengSchool of Heilongjiang University of Chinese Medicine, Harbin, China.
Lihong ZhengDepartment of Internal Medicine, Fourth Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Haiqiang WangDepartment of Internal Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Heilongjiang University of Chinese Medicine · CNFirst Affiliated Hospital of Heilongjiang University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism-related fatty liver disease (MAFLD) is the most common form of chronic liver disease in the world. Its pathogenesis is influenced by both environmental and genetic factors. With the upgrading of gene screening methods and the development of human genome project, whole genome scanning has been widely used to screen genes related to MAFLD, and more and more genetic variation factors related to MAFLD susceptibility have been discovered. There are genetic variants that are highly correlated with the occurrence and development of MAFLD, and there are genetic variants that are protective of MAFLD. These genetic variants affect the development of MAFLD by influencing lipid metabolism and insulin resistance. Therefore, in-depth analysis of different mechanisms of genetic variation and targeting of specific genetic variation genes may provide a new idea for the early prediction and diagnosis of diseases and individualized precision therapy, which may be a promising strategy for the treatment of MAFLD.

Indexed as

genetic variationHSD17B13MAFLDPNPLA3therapeutic potential

Identifiers

PMID37753315
PMCPMC10518415
OpenAlexW4386606465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.