Prediction models for treatment response in migraine: a systematic review and meta-analysis.

Journal: The journal of headache and pain
PMID: 39939885

Abstract

BACKGROUND: Migraine is a complex neurological disorder with significant clinical variability, posing challenges for effective management. Multiple treatments are available for migraine, but individual responses vary widely, making accurate prediction crucial for personalized care. This study aims to examine the use of statistical and machine learning models to predict treatment response in migraine patients.

Authors

  • Qiuyi Chen
    Department of Ultrasound, Affiliated Tumor Hospital of Nantong University, Jiangsu, Nantong, China.
  • Jiarun Zhang
    Department of Acupuncture and Moxibustion, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
  • Baicheng Cao
    Department of Acupuncture and Moxibustion, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
  • Yihan Hu
    Department of Acupuncture and Moxibustion, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
  • Yazhuo Kong
    Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.

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