Evidence map›Paper›PMID 38813803›Full record

ReviewPharmaceutical biology2024

Traditional Chinese medicine for breast cancer treatment: a bibliometric and visualization analysis.

Jun Yuan, Yun Liu, Tiantian Zhang, Cheng Zheng, Xiao Ding, Chuanrong Zhu, Jing Shi, Yi Jing

Erratum issuedAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pharmaceutical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Cephaeline promotes ferroptosis in breast cancer via p53/SLC7A11/GPX4 axis.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Article
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  11. Review
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  15. Article
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  18. Triterpenes ofInternational journal of molecular sciences · 2025
    Article
  19. Article
  20. Quercetin: A Natural Ally in Combating Breast Cancer.International journal of nanomedicine · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jun YuanJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.
Yun LiuJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.
Tiantian ZhangJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.
Cheng ZhengJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.
Xiao DingJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.
Chuanrong ZhuDepartment of General Surgery, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
Jing ShiDepartment of Breast, Maternity and Child, Health Care Hospital of Huai'an, Huai'an, Jiangsu, China.
Yi JingJiangsu Key Laboratory of Regional Resource Exploitation and Medicinal Research, Huaiyin Institute of Technology, Huai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe use of traditional Chinese medicine (TCM) for breast cancer patients inhibits tumor cell growth and proliferation, alleviates adverse reactions, and inhibits tumor recurrence and metastasis post-surgery. An assessment of its historical efficacy and an examination of the latest research trends are imperative to thoroughly leverage the potential of TCM for breast cancer treatment.

objectiveThis study analyzes the published literature on TCM for breast cancer treatment using bibliometric analysis to determine the current state, identify hot spots, and discern trends, providing insight into research in this field.

methodsTCM-based breast cancer treatment publications between 2003 and 2022 were retrieved from the Web of Science, China National Knowledge Infrastructure, Wanfang, and Duxiu databases. Visual analysis was performed using VOSviewer (V1.6.19) and CiteSpace (V6.3.R1) software. Examined metrics included the annual publication count, literature and journal, national and institutional contributions, author co-occurrence, keyword co-occurrence, keywords timeline, and keywords with citation bursts in this research field. RESULTS AND

conclusionA total of 1080 English publications and 2617 Chinese publications were included in the analysis. China was the leading contributor of publications. High-frequency keywords such as 'apoptosis', 'expression', '

Indexed as

BibliometricsBreast NeoplasmsMedicine, Chinese TraditionalDrugs, Chinese HerbalFemaleHumansDrugs, Chinese HerbalApoptosischemotherapyexpressionlymphedemaproliferationtriple-negative breast cancer

Identifiers

PMID38813803
PMCPMC11141317

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.