New Research Design Requirements for Traditional Chinese Medicine

On September 2, 2026, a study published in Evidence-Based Chinese Medicine and Technology Assessment by Ying Wang from Beijing University of Chinese Medicine and Gordon Guyatt from McMaster University presents specific requirements for research designs that meet global scientific standards.

The focus is on large-scale randomized controlled trials (RCTs), standardized preparation forms, and a methodological connection between Western diagnostic patterns and traditional concepts. To generate data that can withstand regulatory approval processes outside of China, Wang and Guyatt recommend multicenter studies that include Western clinics. They emphasize the need for participant numbers in the thousands and the mandatory involvement of experienced clinical trial leaders and statisticians.

A central aspect of the proposed methodology concerns diagnostic classification. For regulatory approval in Western countries, Western disease classifications should serve as the primary inclusion criterion. Additionally, the authors recommend subgroup analyses based on specific TCM patterns to account for traditional differentiation within a Western-defined disease framework.

The authors also identify significant methodological challenges in researching traditional practices. While acupuncture studies often face difficulties with blinding through sham acupuncture controls, the practice of highly personalized formulations in Chinese phytotherapy poses obstacles for standardized efficacy testing.

Consequently, Wang and Guyatt stress the necessity of standardized finished forms such as pills or granules to ensure the reproducibility essential for rigorous pharmacological testing. The discussion about the robustness of the evidence base in complementary medicine is further supported by recent publications. A study in Acta Pharmaceutica Sinica B examined the impact of traditional pattern differentiations on study outcomes, revealing that 94.9% of studies with pattern classification reported significant primary outcomes, compared to 75.7% of studies without such patterns.

After adjusting for four predefined study characteristics, an adjusted risk ratio of 1.14 (95% confidence interval 1.06–1.23; P=0.001) was found. Despite 76.0% of researchers in complementary and alternative medicine publishing in open-access formats, only 48.0% registered study protocols in advance.

Wang and Guyatt's demands highlight that the future integration of traditional treatment concepts into modern healthcare systems is less a question of theoretical principles and more about rigorous study designs and methodological transparency.