Evidence map›Paper›PMID 37565358›Full record

ArticleIntegrative cancer therapies

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.

Xuan Zou, Zi-Yi Chen, Yu-Han Yang, Yu Qiao, Shu-Jin He, Qiong Li, Wei-Li Chen, Xin-Yue Zhang, Si-Yu Li, Shan-Yan Sha and 8 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 57% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 1 country.

Xuan ZouShanghai University of Traditional Chinese Medicine, Shanghai, China.
Zi-Yi ChenShanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0002-4750-0286
Yu-Han YangShanghai University of Traditional Chinese Medicine, Shanghai, China.
Yu QiaoShanghai University of Traditional Chinese Medicine, Shanghai, China.
Shu-Jin HeShanghai University of Traditional Chinese Medicine, Shanghai, China.
Qiong LiShanghai University of Traditional Chinese Medicine, Shanghai, China.
Wei-Li ChenShanghai University of Traditional Chinese Medicine, Shanghai, China.
Xin-Yue ZhangShanghai University of Traditional Chinese Medicine, Shanghai, China.
Si-Yu LiShanghai University of Traditional Chinese Medicine, Shanghai, China.
Shan-Yan ShaShanghai University of Traditional Chinese Medicine, Shanghai, China.
Min-Hao HuShanghai University of Traditional Chinese Medicine, Shanghai, China.
Xi-Yin ZhangShanghai University of Traditional Chinese Medicine, Shanghai, China.
Ming-Ju YangShanghai University of Traditional Chinese Medicine, Shanghai, China.
Rui-Ping WangTongji University, Shanghai, China.
Huan-Gan WuShanghai Research Institute of Acupuncture and Meridian, Shanghai, China.
Yin ShiShanghai Research Institute of Acupuncture and Meridian, Shanghai, China.
Xiao-Hong XueShanghai University of Traditional Chinese Medicine, Shanghai, China.
Ya-Jie JiShanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID 0000-0003-0852-6253
Shanghai University of Traditional Chinese Medicine · CNShanghai Research Center for Acupuncture and Meridians · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAromatase 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.

methodsThis 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 (MMAS-8), credibility and expectancy, and survival outcomes. DISCUSSION: This trial may provide clinical evidence that ATE combined with Wenshen Bugu Decoction can be beneficial for treating AIMSS among postmenopausal breast cancer survivors. Our findings will be helpful to enhance the quality of life and reduce the occurrence of AIs withdrawal.

Indexed as

Aromatase InhibitorsBreast NeoplasmsAcupuncture PointsFemaleHumansPainPostmenopauseQuality of LifeRandomized Controlled Trials as TopicAromatase Inhibitorsacupoint thread embedding (ATE)aromatase inhibitor-associated musculoskeletal symptom (AIMSS)breast cancerendocrine therapyWenshen Bugu Decoction

Identifiers

PMID37565358
PMCPMC10422911
OpenAlexW4385752156

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.