Evidence map›Paper›PMID 38774535›Full record

ArticleJournal of pain research2024

The Effectiveness and Safety of Acupuncture for Mammary Hyperplasia: A Systematic Review and Meta-Analysis.

Jifeng Li, Dongxiao Zhang, Jing Hu, Jianchun Cui, Khattak Mazher Mansoor

Abstract read
In one paragraph

Article in Journal of pain research, 2024. 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
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.

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

5 authors.

Jifeng LiBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People's Republic of China.
Dongxiao ZhangBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People's Republic of China.
Jing HuBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People's Republic of China.
Jianchun CuiLiaoning Provincial People's Hospital (Department of Thyroid and Breast Surgery, People's Hospital of China Medical University), Shenyang, People's Republic of China.
Khattak Mazher MansoorLiaoning Provincial People's Hospital (Department of Thyroid and Breast Surgery, People's Hospital of China Medical University), Shenyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically evaluate the effectiveness and safety of acupuncture in treating mammary hyperplasia. Methods: A comprehensive search was conducted in various databases, including PubMed, Web of Science, Cochrane Library, Embase, SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP Database, from their inception until July 2023. Only randomized controlled trials (RCTs) researching the use of acupuncture for mammary hyperplasia were included. Quality assessment and data analysis were performed using RevMan 5.3 software. Results: Eight RCTs, comprising 573 patients, were included in this analysis. The meta-analysis revealed that in the acupuncture group, the experimental group was better than the control group in improving breast pain, breast lump extent, and the texture of breast lump (P=0.0007, I Conclusion: Acupuncture appears to be an effective and safe treatment for mammary hyperplasia, providing pain relief and reducing mass volume, texture, and extent. However, the insufficient quality of the available evidence indicates the need for further methodologically rigorous and convincingly designed studies to determine the efficacy and safety of acupuncture in the treatment of breast hyperplasia.

Indexed as

acupunctureefficacymammary hyperplasiameta-analysisreviewsafety

Identifiers

PMID38774535
PMCPMC11107910

What OpenQuestion holds

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Registered trials

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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.