Evidence map›Paper›PMID 33545959›Full record

ArticleMedicine2021

Efficacy and safety of Chinese medicine for obstructive sleep apnea: A protocol for systematic review and meta-analysis.

Jun-Li Bao, Xinyuan-Gao, Yu-Bo Han, Ke Zhang, Li Liu

Abstract 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

5 authors.

Jun-Li BaoHeilongjiang University of Chinese Medicine, No.24, Xiangfang District.
Xinyuan-GaoHeilongjiang University of Chinese Medicine, No.24, Xiangfang District.
Yu-Bo HanFirst Affiliated Hospital, Heilongjiang University of Chinese Medicine, Haerbin, Heilongjiang, China.
Ke ZhangHeilongjiang University of Chinese Medicine, No.24, Xiangfang District.
Li LiuFirst Affiliated Hospital, Heilongjiang University of Chinese Medicine, Haerbin, Heilongjiang, China.ORCID 0000-0003-2481-0254

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 81873284
6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is significant public concern. Clinical practice indicates that Chinese medicine has certain therapeutic advantages, while there is a lack of evidence-based medicine support. The aim of this study is to synthesize related data to explore efficacy and safety of Chinese medicine for OSA.

methodsData in PubMed, Embase, Web of Science, CNKI, WanFang, VIP databases were comprehensively searched. All the randomized controlled trials (RCTs) in OSA children were identified, in which the effects of Chinese medicine on a range of outcomes were compared. The search had a deadline of January 1, 2020. Two investigators independently conducted data extraction and assessed the literature quality of the included studies. The Revman5.3 software was used for meta-analysis of the included literature.

resultsThe efficacy and safety of Chinese medicine for OSA were evaluated in terms of apnea hypopnea index (AHI, the average and lowest blood oxygen, the Epworth Sleep Scale [ESS], and adverse effects).

conclusionsThis study provides reliable evidence-based support for the clinical application of Chinese medicine for OSA. PROSPERO REGISTRATION NUMBER: CRD42020154864.

Indexed as

Drugs, Chinese HerbalSleep Apnea, ObstructiveHumansMeta-Analysis as TopicRandomized Controlled Trials as TopicSystematic Reviews as TopicTreatment OutcomeDrugs, Chinese Herbal

Identifiers

PMID33545959
PMCPMC7837954

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.