Evidence map›Paper›PMID 40988483›Full record

ArticleFuture science OA2025

Traditional Chinese medicine in liver cancer: a visualization and bibliometric analysis.

Ming Li, Renguo Zhang, Siqin Liang, Kangkang Feng, Yun Tang, Bin Qiu, Qiang Tu

Abstract read
In one paragraph

Article in Future science OA, 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

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

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

7 authors.

Ming LiDepartment of Hepatobiliary Tumor Surgery, Department of Interventional Therapy, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang, China.
Renguo ZhangGuangchang County People's Hospital, Guangchang, China.
Siqin LiangDepartment of Hepatobiliary Tumor Surgery, Department of Interventional Therapy, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang, China.
Kangkang FengGuangchang County People's Hospital, Guangchang, China.
Yun TangGuangchang County People's Hospital, Guangchang, China.
Bin QiuGuangchang County Hospital of Traditional Chinese Medicine, Guangchang, China.
Qiang TuDepartment of Hepatobiliary Tumor Surgery, Department of Interventional Therapy, Jiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma, a prevalent malignancy, threatens global health. Traditional Chinese medicine is widely applied in liver cancer treatment. This study assesses traditional Chinese medicine research trends and hotspots in this field through bibliometric analysis.

methodsPublications related to traditional Chinese medicine and liver cancer from 2011 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) database, and bibliometric analysis was conducted using VOSviewer, CiteSpace, and the R-bibliometrix.

resultsA total of 446 articles, led by China, were included, and the number of articles related to traditional Chinese medicine and liver cancer has been increasing year by year. Guangzhou University of Chinese Medicine and Shanghai University of Traditional Chinese Medicine are the main research institutions. Among the authors of these articles, Chen Yan has published the most papers, and JEMAL A has the most citations. Evidence-Based Complementary and Alternative Medicine is the most popular journals in this field and is also the most co-cited journal. Research focuses on integrating traditional Chinese medicine with modern medicine, with emerging hotspots including therapy, analysis systems, nanoparticles, and activation.

conclusionsThis first comprehensive bibliometric analysis clarifies research frontiers and guides future directions in liver cancer and Chinese herbal medicine studies.

Indexed as

bibliometric analysisLiver cancerresearch trendstraditional Chinese medicineweb of science

Identifiers

PMID40988483
PMCPMC12461893

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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.