Evidence map›Paper›PMID 40235738›Full record

ArticleQuantitative imaging in medicine and surgery2025

The insight to history and trends of transient elastography for assessing liver fibrosis-a bibliometric analysis.

Amina Aierken, Yilizhati Azhati, Jing Wu, Yun-Fei Zhang, Alimujiang Mamuti, Maiwulanjiang Maimaiti, Chun-Hui Lv, Aliya Tulading, Repikaiti Yasheng, Ming-Juan Wang and 2 more

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

12 authors.

Amina Aierken *Health Management Institute, Xinjiang Medical University, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Urumqi, China.
Yilizhati Azhati *Department of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Jing WuDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yun-Fei ZhangDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Alimujiang MamutiDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Maiwulanjiang MaimaitiDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Chun-Hui LvDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Aliya TuladingDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Repikaiti YashengDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Ming-Juan WangDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Gang YaoDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Tuerhongjiang TuxunDepartment of Liver & Laparoscopic Surgery, Center of Digestive and Vascular Surgery, 1st Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transient elastography (TE) has become a prominent technique for the detection of fibrosis, owing to its non-invasive nature, rapid execution, safety, and ease of repetition. This study aims to conduct a bibliometric analysis of the historical development and trends in the application of TE for the assessment of liver fibrosis. Methods: In the Web of Science (Core Collection database), we selected the Science Citation Index Expanded database to search for relevant literature from 1 January 1983 to 20 November 2023. We performed a search using the following topic words: transient elastography, liver fibrosis. After screening according to the title, abstract and keyword and removing the repetition, the literature included in the study was finally determined, and full records were downloaded. Bibliometric analysis was performed using VOSviewer and CiteSpace. Results: Through the bibliometric visualization analysis of 577 articles, it was found that since TE was first reported for the measurement of liver fibrosis in 2003, the number of publications in this field has generally shown an upward trend, and the distribution of publications has shown a bimodal distribution, with peaks in 2010 and 2019. France and China have shown a high contribution in this field with a high number of publications. In terms of contributions from individual research centers, Yonsei University stands out prominently. Throughout the history of research in this field, early studies focused on chronic viral hepatitis, by comparing TE and Fibrosis-4, aspartate aminotransferase to platelet ratio index, FibroTest, liver biopsy and other liver fibrosis detection indicators to verify its diagnostic efficacy. Subsequently, the focus of research gradually shifted to non-alcoholic fatty liver disease and other liver diseases, and the scope of research extended to the establishment of prediction models and efficacy evaluation through TE. Conclusions: The application scope of TE is gradually expanding, and its safety, simplicity, rapidity, high accuracy, quantitative results, repeatability and good tolerance make it popular in clinical practice. Nowadays, the application of TE is not limited to the diagnosis of liver fibrosis, but has been extended to the establishment of prognostic models and efficacy evaluation of various liver diseases. To explore the deeper value of TE through new research methods such as machine learning models, radiate the advantages of TE to more liver diseases, and combine TE with a variety of non-invasive detection indicators to improve its application value, may be the future development and application prospect of TE in the field of liver fibrosis.

Indexed as

Bibliometricliver fibrosistransient elastography (TE)

Identifiers

PMID40235738
PMCPMC11994523

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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.