Evidence map›Paper›PMID 32000379›Full record

ArticleMedicine2020

Effects of traditional Chinese exercise on lumbar disc herniation: A protocol of network meta-analysis of randomized controlled trials.

Sheng Yuan, Xuxin Lin, Jieshan Hong, Chen Qiu, Dong Chen

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
1.2field-weighted citation impact, top 22% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  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 2 institutions in 1 country.

Sheng YuanThe First Affiliated Hospital of Jinan University.
Xuxin LinGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jieshan HongGuangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Chen QiuThe First Affiliated Hospital of Jinan University.
Dong ChenThe First Affiliated Hospital of Jinan University.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large number of randomized controlled trials (RCTs) have shown that traditional Chinese exercises (TCE) have certain advantages in the treatment of lumbar disc herniation (LDH). However, due to the diversity of TCE methods, their relative effectiveness has not been studied and explained. Therefore, based on the network meta-analysis (NMA), this study will compare the differences in the effectiveness of TCE methods in the treatment of LDH, in order to provide a reference for clinical treatment.

methodsWe will search PubMed, MEDLINE, Embase, the Cochrane Library, China National Knowledge Infrastructure (CHKD-CNKI), WANFANG database (Chinese Medicine Premier), Chinese Biomedical Literature database VIP for relevant RCTs of ACU treatments for POP, from their inceptions to March 18, 2019. STATA 15.0 and GEMTC software will be used to perform a NMA. The evidence will be evaluated by the Grading of Recommendations Assessment, Development, and Evaluation approach and the type 1 error rate will be assessed by trial sequential analysis.

resultsThe results of this review will be submitted to a recognized journal for publication.

conclusionThis proposed systematic review will evaluate the different advantages of various types of TCE in the treatment of LDH.

Indexed as

Exercise Movement TechniquesMedicine, Chinese TraditionalHumansIntervertebral Disc DisplacementLumbar VertebraeMeta-Analysis as TopicRandomized Controlled Trials as Topic

Identifiers

PMID32000379
PMCPMC7004683
OpenAlexW3003321207

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.