Exclusive: The paradigm and application of clinical research in traditional Chinese medicine

An efficacy evaluation method for analyzing composite endpoints based on patient preference and it's implications for traditional Chinese medicine

  • LI Shuangjing ,
  • YAN Shiyan ,
  • LU Ying
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  • 1. College of Acupuncture and Massage, Beijing University of Chinese Medicine, Beijing 100010, China;
    2. Department of Biomedical Data Science, Stanford University School of Medicine, California 94305, USA

Received date: 2024-03-13

  Revised date: 2024-07-09

  Online published: 2024-12-14

Abstract

When composite endpoints are used as efficacy indicators in clinical efficacy evaluation, the same weight is usually assigned to each indicator for overall evaluation.In fact, different indicators are often of different importances for patients, and a simple comprehensive analysis cannot reflect the important concept of "patient-centered".To address these issues, this article introduces an efficacy evaluation method based on patient preference analysis of composite endpoints.By integrating multidimensional indicators (such as clinical efficacy indicators, patient-reported outcomes) while considering each patient preference, this method ranks different indicators, assigns varying importances, and compares efficacies of interventions.It is concluded that this method is suitable for the evaluation of complex intervention in traditional Chinese medicine and is compatible with the holistic view and individual treatment, which can reflect the clinical reality and the real diagnosis and treatment environment, and embody the real value of treatment to patients.It is suggested that in the future, the traditional Chinese medicine researchers should apply this method in efficacy evaluation scenarios with multiple composite indicators, patient-reported outcomes and real world.

Cite this article

LI Shuangjing , YAN Shiyan , LU Ying . An efficacy evaluation method for analyzing composite endpoints based on patient preference and it's implications for traditional Chinese medicine[J]. Science & Technology Review, 2024 , 42(21) : 87 -93 . DOI: 10.3981/j.issn.1000-7857.2024.05.00474

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