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Acupoint Thread Embedding Combined With Wenshen Bugu Decoction for the Treatment of Aromatase Inhibitor-Associated Musculoskeletal Symptom Among Postmenopausal Breast Cancer Patients: Study Protocol of a Randomized Controlled Trial

Zou X, Chen ZY, Yang YH, Qiao Y, He SJ, Li Q, Chen WL, Zhang XY et al.

Integrative cancer therapies, 2023

Abstract

Background: Aromatase inhibitors (AIs) are recommended as the preferred therapy for postmenopausal women with hormone receptor-positive (HR+) breast cancer. As a result, aromatase inhibitor-associated musculoskeletal symptom (AIMSS) have become a major problem leading to therapy discontinuation and decreased quality of life in patients receiving adjuvant AIs treatment. Multiple therapies have been attempted, but have yielded limited clinical results. This study will be performed to determine whether acupoint thread embedding (ATE) combined with Wenshen Bugu Decoction can effectively treat AIMSS, so as to improve the AIs medication compliance of postmenopausal breast cancer patients.

Methods: This study will utilize a randomized, 2 parallel groups controlled trial design. A total of 128 eligible postmenopausal breast cancer women with AIMSS will be randomized to receive a 12-week treatment with Wenshen Bugu Decoction alone (control group) or in combination with ATE (treatment group) in a 1:1 ratio. The primary outcome will be the 12 week Brief Pain Inventory Worst Pain (BPI-WP) score. The secondary outcome measures will include response rate, Brief Pain Inventory-Short Form (BFI-SF), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Functional Assessment of Cancer Therapy-Endocrine Symptom (FACT-ES), Functional Assessment of Cancer Therapy-Breast (FACT-B), bone marrow density (BMD), blood markers of bone metabolite, Morisky medication adherence scale-8…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.

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