Evidence map›Paper›PMID 32702815›Full record

ArticleMedicine2020

Acupotomy therapy for cervical vertigo: A protocol for a systematic review and meta-analysis.

Rongfang Xie, Jianyu You, Liting Liu, Chunhua Huang, Yu Liang

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

5 authors at 3 institutions in 2 countries.

Rongfang XieJiangxi University of Traditional Chinese Medicine.ORCID 0000-0001-7705-4304
Jianyu YouJiangxi University of Traditional Chinese Medicine.
Liting LiuJiangxi University of Traditional Chinese Medicine.
Chunhua HuangAffiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Yu LiangAffiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Jiangxi University of Traditional Chinese Medicine · CNAffiliated Hospital of Jiangxi University of Traditional Chinese Medicine · CNWeatherford College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcupotomy has been widely used to relieve cervical vertigo (CV). However, the efficacy of acupotomy for CV is uncertain. The purpose of this study is to evaluate the efficacy and safety of the acupotomy for CV.

methodsThe following electronic databases will be searched to identify relevant randomized controlled trials (RCTs) for inclusion in the review from inception to April 2020: PubMed, the Cochrane Library, Embase, the China National Knowledge Infrastructure, Wanfang Database, Chinese Science and Technology Periodical Database, and Chinese Biomedical Literature Database. Two researchers will independently select studies, collect data, and assess the methodology quality by the Cochrane risk of bias tool. Meta-analysis will be completed by RevMan V.5.3 software.

resultsThis systematic review will provide an assessment of the current state of acupotomy for CV, aiming to assess the efficacy and safety of acupotomy for Patients with CV.

conclusionThis systematic review will provide a credible Evidence-based for the clinical treatment of CV with acupotomy.PROSPERO registration number: CRD42019134712.

Indexed as

Acupuncture TherapyChinaFemaleHumansMaleMeta-Analysis as TopicNeckRandomized Controlled Trials as TopicSafetySystematic Reviews as TopicTreatment OutcomeVertigo

Identifiers

PMID32702815
PMCPMC7373576
OpenAlexW3043806653

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.