Evidence map›Paper›PMID 42758224›Full record

SynthesisSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Comparative efficacy of traditional Chinese medicine-based non-pharmacological therapies for managing cancer-related fatigue in lung cancer patients: a systematic review and network meta-analysis.

Yu Song, Xinyu Zhou, Yao Luo, Hongying Guo, Ying Xia, Fang Ni, Shuang Geng

Abstract readSystematic ReviewNetwork Meta-AnalysisComparative Study
PubMed Publisher
In one paragraph

Synthesis in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. 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
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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

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5 · Who and what money

Authors and funding

7 authors.

Yu Song *Respiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xinyu Zhou *Respiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yao LuoRespiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hongying GuoRespiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ying XiaRespiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fang NiRespiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 380560679@qq.com.
Shuang GengRespiratory Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. gengshuangsky@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatigue is a prevalent symptom in lung cancer patients and adversely affects their health and quality of life. While some evidence suggests that Traditional Chinese Medicine (TCM)-based non-pharmacological therapies can effectively alleviate cancer-related fatigue (CRF), it remains unclear which therapy is most effective for managing CRF in this population.

objectiveTo compare the effects of different TCM-based non-pharmacological therapies on reducing CRF in lung cancer patients.

methodsWe searched eight databases from their inception to 24 November 2025. Following literature screening, the quality of the included randomized controlled trials (RCTs) was assessed using the Cochrane Risk of Bias 2.0 tool. A network meta-analysis was conducted to evaluate the relative efficacy of the TCM-based non-pharmacological therapies. Statistical analyses were performed using STATA 18.0 software.

resultsA total of 32 RCTs involving eight TCM-based non-pharmacological therapies were included. The network meta-analysis results indicated that moxibustion (SMD = -2.56, 95% CI = -3.60 to -1.51) and auricular acupressure (SMD = -1.82, 95% CI = -3.61 to -0.03) were significantly more effective than usual care in improving CRF. Furthermore, moxibustion showed a significant advantage over qigong (SMD = -2.12, 95% CI = -3.58 to -0.65).

conclusionCurrent evidence shows that moxibustion and auricular acupressure may be the most promising TCM-based non-pharmacological therapies for alleviating CRF in lung cancer patients, whereas qigong appears less effective. However, given the considerable risk of bias across the included studies, these conclusions require further validation through more rigorously designed, high-quality clinical trials.

Indexed as

FatigueLung NeoplasmsMedicine, Chinese TraditionalAcupressureHumansMoxibustionQuality of LifeRandomized Controlled Trials as TopicCancer-related fatigueLung neoplasmsNetwork meta-analysisNon-pharmacological therapiesTraditional Chinese Medicine

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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.