Evidence map›Paper›PMID 40741077›Full record

ReviewJournal of multidisciplinary healthcare2025

Global Trends in Non-Invasive Techniques for the Diagnosis and Monitoring of Nonalcoholic Fatty Liver Disease: A Bibliometric and Visualization Analysis.

Jing-Wen Cai, Wei-Long Wang, Dong-Ling Lin, Shu-Feng Ren, Qian-Qian Jia, Xiao-Xuan He, Xue-Xia Yang, Wen Cai, Hui Hou

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jing-Wen Cai *Department of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Wei-Long Wang *Department of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Dong-Ling LinDepartment of Infectious Diseases, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.
Shu-Feng RenDepartment of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Qian-Qian JiaDepartment of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Xiao-Xuan HeDepartment of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Xue-Xia YangDepartment of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Wen CaiDepartment of Nursing, Xinjiang Medical University, Urumqi, People's Republic of China.
Hui HouDepartment of Gastroenterology, Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nonalcoholic fatty liver disease (NAFLD) is a globally prevalent condition. Emerging technologies like biomarkers, imaging, multi-omics, and artificial intelligence (AI) are driving research into non-invasive diagnosis and monitoring. Objective: To provide a comprehensive overview of the hotspots and future research trends in non-invasive diagnosis and monitoring of NAFLD. Methods: A search of the Web of Science Core Collection database identified 1136 articles that met the study criteria between April 1, 2005, and December 31, 2024. By integrating various bibliometric methods and tools, we conducted a comprehensive analysis. Results: Publication growth reflects robust research interest. The United States and China are the leading countries, and the University of California, San Diego tops the institutions. Liver International and PLOS ONE publish the most relevant articles, while Journal of Hepatology is the most influential. "Transient elastography", "fibrosis" and "diagnosis" are prominent keywords. Research trends are shifting from basic to clinical applications, with a focus on non-invasive techniques, biomarkers and disease models. Conclusion: Future investigations will focus on the clinical application of these techniques. Global collaboration is expected to enhance NAFLD diagnosis, treatment, prevention, and monitoring.

Indexed as

bibliometric analysisnonalcoholic fatty liver diseasenon-invasive techniquesvisualization

Identifiers

PMID40741077
PMCPMC12309579

What Socratic 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 Socratic graph.