Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study.

Journal: Chinese medicine
Published Date: May 27, 2025

Abstract

BACKGROUND: Neck pain (NP) ranks among the leading causes of years lived with disability worldwide. While spinal manipulation is a common physical therapy intervention for NP, its variable patient responses and inherent risks necessitate careful patient selection. This study aims to develop and validate a machine learning-based prediction model to identify NP patients most likely to benefit from spinal manipulation.

Authors

  • Changxiao Han
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China.
  • Guangyi Yang
    Electronic Information School, Wuhan University, Wuhan, China.
  • Haibao Wen
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China.
  • Minrui Fu
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China.
  • Bochen Peng
    Beijing University of Chinese Medicine, Beijing, 100102, China.
  • Bo Xu
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • Xunlu Yin
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China.
  • Ping Wang
    School of Chemistry and Chemical Engineering, Shandong University of Technology, 255049, Zibo, PR China. Electronic address: wangping876@163.com.
  • Liguo Zhu
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China. zhlg95@aliyun.com.
  • Minshan Feng
    Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China. drfengminshan@163.com.

Keywords

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