Evidence map›Paper›PMID 34261372›Full record

ArticleIntegrative cancer therapies

Traditional Chinese Medicine in Cancer Care: An Overview of 5834 Randomized Controlled Trials Published in Chinese.

Chun-Li Lu, Xun Li, Hong-Mei Zhou, Chi Zhang, Ya-Yue Yang, Ru-Li Feng, Chao-Jun Long, Fang-Yuan Deng, Jing-Chun Li, Ze-Ming Cao and 15 more

Abstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Traditional Chinese Medicine Treatment of Thyroid Cancer: A Review.International journal of general medicine · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

25 authors.

Chun-Li LuBeijing University of Chinese Medicine, Beijing, China.ORCID 0000-0003-2939-1327
Xun LiBeijing University of Chinese Medicine, Beijing, China.
Hong-Mei ZhouDongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Chi ZhangBeijing University of Chinese Medicine, Beijing, China.
Ya-Yue YangFudan University, Shanghai, China.
Ru-Li FengDongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China.
Chao-Jun LongBeijing University of Chinese Medicine, Beijing, China.
Fang-Yuan DengBeijing University of Chinese Medicine, Beijing, China.
Jing-Chun LiDongfang Hospital of Beijing University of Chinese Medicine, Beijing, China.
Ze-Ming CaoBeijing University of Chinese Medicine, Beijing, China.
Qi-Yuan MaoGuang'anmen Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Jin-Pu ZhuBeijing University of Chinese Medicine, Beijing, China.
Yan-Fei HongBeijing University of Chinese Medicine, Beijing, China.
Shou-Yu HuangWangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Jia-Ying QiuXiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China.
Yi-Xiu LiuDongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China.
Ying WangChina Press of Traditional Chinese Medicine, Beijing, China.
Yu-Qian YanUniversity Hospital Zürich, Zurich, Switzerland.
Jia-Min DongBeijing University of Chinese Medicine, Beijing, China.
Yu-Xin LuoBeijing University of Chinese Medicine, Beijing, China.
Yun-Meng ChenDongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China.
Ying-Jie GuanBeijing University of Chinese Medicine, Beijing, China.
Lisa Susan WielandUniversity of Maryland School of Medicine, Baltimore, USA.
Nicola RobinsonInstitute of Health and Social Care, London South Bank University, London, UK.
Jian-Ping LiuBeijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese medicine (TCM) is widely integrated into cancer care in China. An overview in 2011 identified 2384 randomized and non-randomized controlled trials (RCTs, non-RCTs) on TCM for cancer published in the Chinese literature. This article summarizes updated evidence of RCTs on TCM for cancer care.

methodsWe searched 4 main Chinese databases: China National Knowledge Infrastructure, Chinese Scientific Journal Database, SinoMed, and Wanfang. RCTs on TCM used in cancer care were analyzed in this bibliometric study.

resultsOf 5834 RCTs (477 157 cancer patients), only 62 RCTs were indexed in MEDLINE. The top 3 cancers treated were lung, stomach, and breast cancer. About 4752 RCTs (81.45%) tested TCM combined with conventional treatment, and 1082 RCTs (18.55%) used TCM alone for treating symptoms and side-effects. Herbal medicine was the most frequently used TCM modality (5087 RCTs; 87.20%). The most frequently reported outcome was symptom improvement (3712 RCTs; 63.63%) followed by quality of life (2725 RCTs; 46.71%), and biomarkers (2384 RCTs; 40.86%). The majority of RCTs (4051; 69.44%) concluded there were beneficial effects using either TCM alone or TCM plus conventional treatment compared with conventional treatment.

conclusionSubstantial randomized trials demonstrated different types/stages of cancer were treated by various TCM modalities, alone or in combination with conventional medicine. Further evaluation on the effects and safety of TCM modalities focusing on outcomes such as quality of life is required.

Indexed as

Breast NeoplasmsDrugs, Chinese HerbalChinaFemaleHumansMedicine, Chinese TraditionalQuality of LifeRandomized Controlled Trials as TopicDrugs, Chinese Herbalbibliometric analysiscancerChinese literatureclinical evidencerandomized controlled trialsTraditional Chinese medicine

Identifiers

PMID34261372
PMCPMC8287414

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.