Evidence map›Paper›PMID 36589424›Full record

ReviewFrontiers in physiology2022

Non-invasive methods to evaluate liver fibrosis in patients with non-alcoholic fatty liver disease.

Jincheng Wang, Tao Qin, Jinyu Sun, Shiwu Li, Lihua Cao, Xiaojie Lu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. PlasmaHepatology forum · 2026
    Article
  3. Correlations BetweenLife (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Review
  12. Review
  13. 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

6 authors at 3 institutions in 1 country.

Jincheng WangThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tao QinThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jinyu SunThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shiwu LiLiver Disease Center, Qinhuangdao Third Hospital, Qinhuangdao, China.
Lihua CaoLiver Disease Center, Qinhuangdao Third Hospital, Qinhuangdao, China.
Xiaojie LuThe First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
First Hospital of Qinhuangdao · CNJiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-alcoholic Fatty Liver Disease (NAFLD) is a chronic liver disease that is strongly related to insulin resistance and metabolic syndrome, and it has become the most common liver disorder in developed countries. NAFLD embraces the full pathological process of three conditions: steatosis, non-alcoholic steatohepatitis, and finally, cirrhosis. As NAFLD progresses, symptoms will become increasingly severe as fibrosis develops. Therefore, evaluating the fibrosis stage is crucial for patients with NAFLD. A liver biopsy is currently considered the gold standard for staging fibrosis. However, due to the limitations of liver biopsy, non-invasive alternatives were extensively studied and validated in patients with NAFLD. The advantages of non-invasive methods include their high safety and convenience compared with other invasive approaches. This review introduces the non-invasive methods, summarizes their benefits and limitations, and assesses their diagnostic performance for NAFLD-induced fibrosis.

Indexed as

biomarkersliver fibrosisNAFLDnon-invasive diagnosisprediction

Identifiers

PMID36589424
PMCPMC9794751
OpenAlexW4311329393

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.