Evidence map›Paper›PMID 33350757›Full record

ArticleMedicine2020

The efficacy and safety of acupuncture for perimenopausal insomnia: A protocol for a network meta-analysis.

Zhao Wang, Fengting Zhai, Xiaomin Zhao, Guizhi Zhao, Na Li, Fang Zhang, Jinxing Liu

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

7 authors.

Zhao WangFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
Fengting ZhaiFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
Xiaomin ZhaoShandong college of Traditional Chinese Medicine.
Guizhi ZhaoShandong college of Traditional Chinese Medicine.
Na LiShandong college of Traditional Chinese Medicine.
Fang ZhangFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
Jinxing LiuThe Affiliated Hospital of Shandong University of Traditional Chinese Medicine.ORCID 0000-0003-1180-1818

Funding

TCM Science & Technology Development Plan Project of Shandong Province 2019-1054
6 · The paper itself

Abstract

backgroundAs a common symptom of perimenopausal period, perimenopausal insomnia brings great pain to many women and families. Acupuncture has been accepted by people as the incidence rate of this disease increases. The purpose of this study is to systematically compare the safety and efficacy of various acupuncture treatments for perimenopausal insomnia through network meta-analysis.

methodsWe will search Web of Science, PubMed, The Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), Wan Fang Date, VIP database, conference papers and grey literature. All relevant Randomized controlled trial (RCT) using acupuncture for perimenopausal insomnia will be included. Two reviewers will independently search and screen date. Network meta-analysis will be completed by Stata and WinBUGS software.

resultsThis study will compare the efficacy and safety of different acupuncture treatments for perimenopausal insomnia.

conclusionThe result of this study will provide reliable evidence for evaluating the efficacy and safety of acupuncture in the treatment of perimenpausal insomnia. INPLASY REGISTRATION NUMBER: INPLASY2020110047.

Indexed as

Acupuncture TherapyPerimenopauseSleep Initiation and Maintenance DisordersFemaleHumansNetwork Meta-Analysis as Topic

Identifiers

PMID33350757
PMCPMC7769359

What OpenQuestion holds

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LicenceCC BY
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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.