Evidence map›Paper›PMID 37900994›Full record

SynthesisWorld journal of gastroenterology2023

Diagnostic role of transient elastography in patients with autoimmune liver diseases: A systematic review and meta-analysis.

Hong Chen, Yue Shen, Sheng-Di Wu, Qin Zhu, Cheng-Zhao Weng, Jun Zhang, Mei-Xia Wang, Wei Jiang

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Pathogenesis, Non-Invasive Assessments and Treatment of Hepatic Fibrosis in Autoimmune Liver Diseases.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  11. Review
  12. Article
  13. 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

8 authors at 4 institutions in 1 country.

Hong ChenDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Yue ShenDepartment of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Sheng-Di WuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Qin ZhuDepartment of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, Shanghai 200032, China.
Cheng-Zhao WengDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Jun ZhangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Mei-Xia WangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Wei JiangDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen 361015, Fujian Province, China.
Zhongshan Hospital · CNFudan University · CNShanghai Medical College of Fudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoninvasive methods have been developed to detect fibrosis in many liver diseases due to the limits of liver biopsy. However, previous studies have focused primarily on chronic viral hepatitis and nonalcoholic fatty liver disease. The diagnostic value of transient elastography for autoimmune liver diseases (AILDs) is worth studying.

aimTo compare the diagnostic accuracy of imaging techniques with serum biomarkers of fibrosis in AILD.

methodsThe PubMed, Cochrane Library and EMBASE databases were searched. Studies evaluating the efficacy of noninvasive methods in the diagnosis of AILDs [autoimmune hepatitis (AIH), primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC)] were included. The summary area under the receiver operating characteristic curve (AUROC), diagnostic odds ratio, sensitivity and specificity were used to assess the accuracy of these noninvasive methods for staging fibrosis.

resultsA total of 60 articles were included in this study, and the number of patients with AIH, PBC and PSC was 1594, 3126 and 501, respectively. The summary AUROC of transient elastography in the diagnosis of significant fibrosis, advanced fibrosis and cirrhosis in patients with AIH were 0.84, 0.88 and 0.90, respectively, while those in patients with PBC were 0.93, 0.93 and 0.91, respectively. The AUROC of cirrhosis for patients with PSC was 0.95. However, other noninvasive indices (aspartate aminotransferase to platelet ratio index, aspartate aminotransferase/alanine aminotransferase ratio, fibrosis-4 index) had corresponding AUROCs less than 0.80.

conclusionTransient elastography exerts better diagnostic accuracy in AILD patients, especially in PBC patients. The appropriate cutoff values for staging advanced fibrosis and cirrhosis ranged from 9.6 to 10.7 and 14.4 to 16.9 KPa for PBC patients.

Indexed as

Elasticity Imaging TechniquesHepatitis, AutoimmuneNon-alcoholic Fatty Liver DiseaseAspartate AminotransferasesFibrosisHumansLiverLiver CirrhosisROC CurveAspartate AminotransferasesAutoimmune liver diseaseLiver fibrosisLiver stiffnessNoninvasive diagnosisSerum parameterTransient elastography

Identifiers

PMID37900994
PMCPMC10600811
OpenAlexW4387768028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.