Evidence map›Paper›PMID 40028340›Full record

ArticleFrontiers in immunology2025

A bibliometric and visualization analysis of the role of traditional Chinese medicine in cancer immunotherapy.

Yixiao Lian, Jie Sun, Lin Yang, Weidong Yu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Yixiao Lian *Department of Library, Peking University People's Hospital, Beijing, China.
Jie Sun *Department of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.
Lin YangDepartment of Library, Peking University People's Hospital, Beijing, China.
Weidong YuDepartment of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Traditional Chinese medicine (TCM) is used as a complementary treatment for patients with cancer, especially in immunotherapy. Although extensive clinical and basic research has been conducted on TCM in cancer immunotherapy, a comprehensive bibliometric analysis of this field has not yet been performed. This study aimed to investigate the progress and status of TCM, and the research focused on cancer immunotherapy. Methods: We collected 1,657 articles on TCM in cancer immunotherapy from 1994 to 2024 from the Web of Science Core Collection database. VOSviewer, CiteSpace, and the Bibliometrix R package were used to analyze countries, institutions, journals, authors, references, and keywords to predict future trends in cancer immunotherapy with TCM. Results: The publication rate of TCM in cancer immunotherapy research steadily increased from 1994 to 2018, with a swift growth from 2018 to 2023. China and TCM universities have achieved the most research advancements in this field. The most studied types of cancer are liver, lung, and colorectal cancers. However, few studies exist on upper respiratory tract tumors, cervical cancer, and melanoma, which deserve more attention. The study trend has gradually shifted from Conclusion: This study comprehensively summarized and identified research frontiers providing a reference for promoting the development of TCM immunotherapy preparations and guiding clinical practice. Consequently, more patients with cancer can benefit from immunotherapy.

Indexed as

BibliometricsDrugs, Chinese HerbalImmunotherapyMedicine, Chinese TraditionalNeoplasmsAnimalsHumansDrugs, Chinese HerbalBibliometrixcancerCiteSpaceimmunotherapytraditional Chinese medicineVOSviewer

Identifiers

PMID40028340
PMCPMC11868050

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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.