Evidence map›Paper›PMID 38175852›Full record

ArticlePloS one2024

Effect of non-invasive neuromodulation techniques on vascular cognitive impairment: A Bayesian network meta-analysis protocol.

Long Yan, Linna Wu, Hong Li, Yulin Qian, Meng Wang, Yu Wang, Baomin Dou, Tao Yu

Abstract read
In one paragraph

Article in PloS one, 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
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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

8 authors.

Long YanFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.ORCID 0000-0003-2985-1039
Linna WuFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Hong LiFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Yulin QianFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Meng WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Yu WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Baomin DouTianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.
Tao YuFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, P. R. China.ORCID 0000-0002-6313-946X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVCI is a severe public health problem facing the world today. In addition to pharmacological treatment, non-invasive neuromodulation techniques have also been effective. At this stage, non-invasive neuromodulation techniques combined with pharmacological treatment are the mainstay of clinical treatment, and clinical trials are continuing to be conducted, which is becoming the direction of treatment for VCI. Therefore, we outline this systematic review and network meta-analysis protocol to evaluate and rank clinical data in future studies which can develop optimal protocols for the clinical treatment of VCI with non-invasive neuromodulation techniques in combination with drugs.

methodsThe network meta-analysis will search eight databases, including PubMed, Embase, Cochrane Library, Web of Science, China Knowledge Infrastructure Library (CNKI), China Biology Medicine disc (CBM)), Wanfang Data Knowledge Service Platform and Vipshop Journal Service Platform (VIP), for a period of from the establishment of the library to January 30 2022. The quality of the studies will be evaluated using the Cochrane Review's Handbook 5.1 and the PEDro scale to assess the evidence and quality of the included randomised controlled trials. Risk of bias assessment and heterogeneity tests will be performed using the Review Manager 5.4 program, and Bayesian network meta-analysis will be performed using the Stata 16.0 and WinBUGS 1.4.3 program.

resultsThe results of the network meta-analysis will be published in a peer-reviewed journal.

conclusionsOur study is expected to provide high quality evidence-based medical evidence for the treatment of VCI by clinicians.

trial registrationPROSPERO: CRD42022308580.

Indexed as

Bayes TheoremChinaNetwork Meta-Analysis as TopicResearch DesignSystematic Reviews as Topic

Identifiers

PMID38175852
PMCPMC10766188

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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.