Evidence map›Paper›PMID 33578555›Full record

ArticleMedicine2021

Acupuncture for diabetic neurogenic bladder: A protocol for systematic review and meta-analysis.

Yu Dai, Qing Ye, Yi-Ming Sun, Xin-Ru Liu, Lu Li, Quan Wen, Tian-Min Zhu

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 2 institutions in 3 countries.

Yu DaiChengdu Eighth People's Hospital.ORCID 0000-0001-5456-095
Qing YeChengdu Eighth People's Hospital.
Yi-Ming SunChengdu Eighth People's Hospital.
Xin-Ru LiuChengdu Eighth People's Hospital.
Lu LiChengdu Eighth People's Hospital.
Quan WenChengdu Eighth People's Hospital.
Tian-Min ZhuChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Universidad Católica San Pablo · PEChengdu University of Traditional Chinese Medicine · CN

Funding

Chengdu health commission 2015016
6 · The paper itself

Abstract

backgroundDiabetic neurogenic bladder (DNB) is one of the common complications of diabetes mellitus, which has a high prevalence rate. Some research suggested that acupuncture can improve the clinical symptoms of diabetic neurogenic bladder patients, but there is no systematic review or meta-analysis to assess this therapy. Therefore, this study aims to explore the effectiveness and safety of acupuncture for patients with DNB.

methodsIn this study, we will search for electronic databases including the Cochrane Library, Web of Science, PubMed, MEDLINE, EMBASE,China National Knowledge Infrastructure (CNKI), Wan-Fang, and Baidu Scholar Database from inception to December 2020. We will select randomized controlled trials that have been published in English or Chinese related to acupuncture for DNB. Selection of study, extraction of data, and assessment of study quality will be performed independently by 2 researchers, and we will use Revman 5.3 software which is provided by Cochrane assistance network, to perform the data analysis.

resultsThis study will provide evidence of the effectiveness and safety of acupuncture for DNB.

conclusionThis study will clarify whether acupuncture is an effective treatment for DNB, and will also provide a reference for clinical practice and guidelines development.

Indexed as

Acupuncture TherapyDiabetes ComplicationsHumansMeta-Analysis as TopicSystematic Reviews as TopicUrinary Bladder, Neurogenic

Identifiers

PMID33578555
PMCPMC7886445
OpenAlexW3112235323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.