Acupuncture as Treatment of Cancer-Therapy Induced Fatigue: A Critical Systematic Review with a Focus on the Methodological Assessment of Blinding
Voigtländer et al. · Journal of Cancer Research and Clinical Oncology · 2026
OBJECTIVE
To critically evaluate the evidence on acupuncture in the treatment of cancer-related fatigue
WHO
1,346 oncology patients with treatment-induced fatigue
DURATION
15 studies published between 2007 and 2020
POINTS
Varied - traditional acupuncture, electroacupuncture, ATAS, and mind-regulating acupuncture
🔬 Study Design
Real acupuncture
n=673
Different acupuncture modalities
Control arms
n=673
Sham acupuncture, usual care, or wait list
📊 Results in numbers
Studies with high risk of bias
Only low-risk study showed benefit
Mean dropout rate
GRADE evidence
Percentage highlights
📊 Outcome Comparison
Methodologic quality (RoB-2)
This study analyzed research on acupuncture for fatigue in cancer patients. Although some studies show benefits, the majority have serious methodologic problems that make the results unreliable, especially related to adequate blinding of participants.
Article summary
Plain-language narrative summary
This critical systematic review examined the efficacy of acupuncture in the treatment of cancer-therapy-related fatigue, with a special focus on the methodologic assessment of blinding. The German researchers conducted a comprehensive search across five databases in April 2024, identifying 1,599 initial studies, of which 15 randomized controlled trials enrolling 1,346 patients were included in the final analysis.
The study population included patients with various types of cancer, with 1,207 women and 137 men, aged 18-80 years. Interventions varied significantly, including traditional acupuncture (11 studies), electroacupuncture (2 studies), and other modalities such as ATAS acupuncture and mind-regulating acupuncture. Control arms included sham acupuncture, usual care, or wait list.
Results were heterogeneous and contradictory. While some studies comparing real versus sham acupuncture reported significant effects on cancer-related fatigue, others did not find advantages. Studies comparing acupuncture with usual care frequently reported positive effects. However, the reliability of these findings is severely limited by critical methodologic issues.
Risk-of-bias assessment using the RoB-2 tool revealed that 14 of the 15 studies were classified as "high risk of bias" due to issues such as insufficient blinding, incomplete data analysis, and randomization issues. Only one study (Cheng et al., 2017) was considered low risk of bias and showed a significant reduction in fatigue with acupuncture compared with sham acupuncture (p < 0.001) in patients with lung cancer.
One of the main challenges identified was the difficulty of achieving adequate blinding in acupuncture studies. The "deqi" sensation — a mixture of numbness, tingling, or dull pain considered an indicator of effective needle placement — complicates the blinding process because it is difficult to reproduce or is completely overlooked in placebo-controlled studies. This sensation was actively sought in six studies in the real acupuncture arm while being avoided in the sham arms, creating potential bias.
GRADE assessment also showed very low certainty of evidence, consistent with RoB-2 results. Significant clinical and methodologic heterogeneity, together with high risk of bias and low GRADE scores, were strong arguments against performing a meta-analysis, since combining data from such heterogeneous and low-certainty studies would not lead to meaningful conclusions.
Reported adverse events were minimal, including mild pain, dizziness, localized bleeding, and bruising. Many studies did not report adverse events or did not provide information on side effects.
Methodologic limitations included small sample sizes, high dropout rates, inadequate analysis (many studies used per-protocol rather than intention-to-treat analysis), and lack of effective blinding. In addition, patient-acupuncturist interaction may have influenced results through attention and expectation effects.
The authors conclude that the heterogeneous results and methodologic limitations of existing studies prevent definitive conclusions about the efficacy of acupuncture in the treatment of cancer-related fatigue. The analysis highlights the need to use more rigorous designs and more comprehensive assessment tools in future studies to better understand the role of acupuncture in managing post-treatment fatigue in oncology.
Strengths
- 1Comprehensive search across five databases
- 2Critical assessment specific to blinding issues in acupuncture
- 3Detailed analysis of methodologic problems
- 4Rigorous application of RoB-2 and GRADE tools
Limitations
- 1Language restriction (English and German only)
- 2High heterogeneity across studies
- 3Inability to perform meta-analysis due to low quality
- 4Potential publication bias
Expert Commentary
Prof. Dr. Hong Jin Pai
PhD in Sciences, University of São Paulo
▸ Clinical Relevance
Cancer-therapy-related fatigue is one of the most prevalent and debilitating symptoms faced by patients during cancer treatment, frequently underestimated and undertreated in oncology services. Acupuncture emerges as a non-pharmacologic alternative with a favorable safety profile — the adverse events reported in this review were minimal and transient — which positions it naturally within the integrative arsenal of supportive oncology. This review, by bringing together 15 randomized controlled trials with 1,346 patients across diverse tumor histologies, offers a current snapshot of the state of the evidence and guides the clinician on where we stand and where we need to go. The only low-risk-of-bias study included demonstrated significant reduction in fatigue with acupuncture versus sham, a clinically relevant signal that justifies continued judicious use of the technique while the evidence base matures.
▸ Notable Findings
The most revealing finding of this review is not a clinical result but a methodologic diagnosis: 14 of the 15 studies had high risk of bias, and the only one with low risk — the Cheng et al. (2017) study, conducted in patients with lung cancer — demonstrated statistically robust benefit of acupuncture over sham (p < 0.001). This inversion is intellectually provocative: the more rigorous the study, the more favorable the result. The review also illuminates a structural problem of acupuncture research — the role of the deqi sensation as a marker of real intervention that inevitably compromises participant blinding. Six studies actively sought deqi in the verum arm while avoiding it in the sham, creating an experiential asymmetry that translates directly into expectation and attention bias. The mean dropout rate of 15.5% and the GRADE assessment of very low certainty complete the picture.
▸ From My Experience
At the HC-FMUSP Pain Center, we regularly see oncology patients referred with fatigue refractory to conventional supportive care adjustments. In my practice, I typically observe the first perceptible responses between the third and fifth sessions, especially when we combine systemic acupuncture with auricular acupuncture and sleep hygiene guidance. Patients with breast and lung cancer, the most represented groups in the literature, tend to respond more consistently. I routinely combine acupuncture with light supervised physical conditioning programs, because the synergy between the two seems to potentiate the perception of vitality. I do not recommend acupuncture as an isolated intervention in patients with fatigue of mixed unclarified etiology without prior adequate workup. The profile that responds best, in my experience, is the patient with predominantly functional fatigue, without severe anemia or untreated major depression. What this article confirms — and I recognize in practice — is that the effect exists, but more rigorous studies are needed to quantify it with precision.
Full original article
Read the full scientific study
Journal of Cancer Research and Clinical Oncology · 2026
DOI: 10.1007/s00432-025-06395-4
Access original articleScientific Review

Marcus Yu Bin Pai, MD, PhD
CRM-SP: 158074 | RQE: 65523 · 65524 · 655241
PhD in Health Sciences, University of São Paulo. Board-certified in Pain Medicine, Physical Medicine and Rehabilitation, and Medical Acupuncture. Scientific review and curation of every entry in this library.
Learn more about the author →Medical disclaimer: This content is for educational purposes only and does not replace consultation, diagnosis, or treatment by a qualified professional. Some information may be assisted by artificial intelligence and is subject to inaccuracies. Always consult a physician.
Content reviewed by the medical team at CEIMEC — Integrated Centre for Chinese Medicine Studies, a reference in Medical Acupuncture for over 30 years.
Related articles
Based on this article’s categories