Evidence map›Paper›PMID 29390369›Full record

ArticleMedicine2017

Acupuncture for vertebrobasilar insufficiency vertigo: Protocol for a systematic review and meta-analysis.

Xiaohui Li, Menghui Liu, Yu Zhang, Ziqing Li, Dawei Wang, Xia Yan

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  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

6 authors at 3 institutions in 2 countries.

Xiaohui LiGuangzhou University of Chinese Medicine The First Affiliated Hospital, Sun Yet-sen University The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Menghui Liu
Yu Zhang
Ziqing Li
Dawei Wang
Xia Yan
Guangzhou University of Chinese Medicine · CNHesperos (United States) · USThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVertebrobasilar insufficiency vertebrobasilar (VBIV) is a serious nerve disease and many old people suffer from it. Acupuncture has been widely applied in the treatment of VBIV. However, to our knowledge, there has been no systematic review or meta-analysis of randomized controlled trails regarding the effectiveness of this treatment. Here, we provide a protocol to evaluate the effectiveness and safety of acupuncture for VBIV.

methodsRelevant randomized controlled trials in 5 databases (EMBASE, PubMed, the Cochrane Central Register of Controlled Trials [Cochrane Library], Chinese Biomedical Literature Database [CBM], China National Knowledge Infrastructure [CNKI]) will be comprehensively searched by 2 researchers in December 2017. The clinical efficacy will be accepted as the primary outcomes. We will also use RevMan V.5.3 software to compute the data synthesis carefully when a meta-analysis is allowed.

resultsThis study will provide a high-quality synthesis of current evidence of acupuncture for VBIV from several aspects including clinical efficacy, the blood flow velocity of the left vertebral artery (LVA), the right vertebral artery (RVA), the basilar artery (BA)and adverse events.

conclusionThe conclusion of our systematic review will provide evidence to judge whether acupuncture is an effective and safety intervention for patient with VBIV.

Indexed as

Research DesignAcupuncture TherapyHumansMeta-Analysis as TopicSystematic Reviews as TopicVertebrobasilar Insufficiency

Identifiers

PMID29390369
PMCPMC5815781
OpenAlexW2774700527

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.