Evidence map›Paper›PMID 39704364›Full record

SynthesisIntegrative cancer therapies

Chinese Medicines Treatment for Sleep Disturbance in Breast Cancer Survivors: A Network Meta-Analysis.

Chia-Wen Chuang, Ming-Yen Tsai, Shih-Chung Wu, Wen-Chun Liao

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
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

4 authors.

Chia-Wen ChuangDepartment of Nursing, Kaohsiung Chang Gung Memorial Hospital, Taiwan.ORCID 0000-0003-3671-1675
Ming-Yen TsaiDepartment of Chinese Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Shih-Chung WuDepartment of Surgery, Kaohsiung Chang Gung Memorial Hospital, Taiwan.
Wen-Chun LiaoSchool of Nursing, China Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disturbance and insomnia are common adverse events in patients with breast cancer (BC). Traditional Chinese Medicine (TCM) treatment for sleep disturbance includes acupuncture, acupressure, auricular acupressure/auricular acupuncture, and Qigong. However, the specific efficacy of these TCM treatment remains unclear. MATERIALS AND

methodsThis systematic review and network meta-analysis (NMA) investigated the effects of various TCM treatment on improving sleep quality in BC survivors.

methodsOnly randomized controlled trials (RCTs) reporting the results of TCM treatments were included. The main NMA included 12 RCTs involving 1011 participants. The risk of bias was assessed using the RoB 2 tool for randomized controlled trials. The certainty of evidence of the NMA was assessed in accordance with GRADE (the Grading of Recommendations, Assessment, Development, and Evaluations).

resultsAcupressure, acupuncture, auricular acupuncture/auricular acupressure, and qigong were identified as optimal TCM treatment (P < .05) for enhancing sleep quality in BC survivors.

conclusionOur results provide some evidence that TCM treatment, particularly acupressure, can be beneficial in improving sleep quality in BC survivors. However, larger-scale clinical trials with robust methodological designs are required to validate and extend our findings.

Indexed as

Breast NeoplasmsCancer SurvivorsSleep Wake DisordersAcupressureAcupuncture TherapyDrugs, Chinese HerbalFemaleHumansMedicine, Chinese TraditionalQigongRandomized Controlled Trials as TopicSleep Initiation and Maintenance DisordersDrugs, Chinese Herbalbreast cancerinsomniasleep disturbancetraditional Chinese medicine

Identifiers

PMID39704364
PMCPMC11662389

What OpenQuestion holds

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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 OpenQuestion graph.