Acupuncture Relieves Multiple Symptoms in 2,239 Cancer Patients in a Real-World Setting

Randomized clinical trials (RCTs) constitute the gold standard for demonstrating therapeutic efficacy, but tend to study isolated symptoms in rigorously selected populations. In daily oncology practice, however, patients present with multiple simultaneous symptoms — pain, insomnia, fatigue, hot flashes, anxiety, and neuropathy — that demand comprehensive supportive approaches. A retrospective real-world data study published in Supportive Care in Cancer fills this gap by documenting the impact of medical acupuncture on six symptom categories in 2,239 patients seen in an outpatient oncology service over seven years (2015–2022).

Patient Profile

The sample comprised 2,239 patients treated with acupuncture in a group format in an outpatient oncology setting. The majority were women (83%), with mean age of 57 years (±12). Breast cancer was the predominant diagnosis, present in 57% of cases. A striking characteristic of the cohort was the high symptom burden: 68% of patients presented with two or more simultaneous symptoms at the time of the first acupuncture session.

Early and Clinically Significant Response

The study defined clinically significant improvement as a reduction of at least 1 point on the numeric severity scale (0–10) — a threshold recognized in the oncologic outcomes literature as an indicator of benefit perceptible by the patient. The results demonstrated that acupuncture produced early and consistent responses in all evaluated symptoms.

As early as the second session, anxiety and hot flashes reached significant clinical improvement, with response rates of 62% and 66%, respectively. By the third session, all six evaluated symptoms — pain, insomnia, fatigue, anxiety, hot flashes, and peripheral neuropathy — presented statistically and clinically significant improvements. Benefits were sustained over subsequent sessions, suggesting cumulative effect of the intervention.

Group Acupuncture Model: Scalability for Oncology

A differentiating aspect of this study is the group outpatient acupuncture format — a model with greater scalability for high-demand oncology services. Different from individual sessions, the group format allows serving multiple patients simultaneously, optimizing resources without compromising clinical efficacy. The seven years of data demonstrate that the model is not only effective, but also viable and sustainable in a routine oncology setting.

Subgroup Analysis

The benefits of acupuncture were consistent across different age ranges and between men and women, reinforcing the generalization of the findings. However, subgroup analysis revealed relevant patterns: women and younger patients had higher baseline symptom burden, while men and older patients demonstrated lower adherence to treatment over time. Adherent patients (with two or more sessions) tended to be older and to have greater baseline severity of symptoms — suggesting that symptom burden may be a motivating factor for continuity of treatment.

Limitations and Perspectives

As a retrospective and observational study, the work presents limitations inherent to the design: the absence of a control group prevents direct causal inference, and selection bias — patients who seek acupuncture may differ systematically from those who do not — is acknowledged by the authors. In addition, the numeric severity scale (0–10) used as outcome, although validated and practical, does not capture the multidimensionality of the oncologic symptomatic experience.

Nonetheless, the size of the sample (2,239 patients), the duration of follow-up (seven years), and the consistency of the results across six distinct symptomatic categories confer substantial clinical relevance to the findings. The authors conclude that the results justify the conduct of pragmatic randomized clinical trials with multiple outcomes, and recommend the expansion of insurance coverage for oncologic acupuncture as a strategy to improve access and reduce disparities in supportive care.