Evidence map›Paper›PMID 32769912›Full record

ArticleMedicine2020

Guipi decoction for coronary heart disease: A protocol for a systematic review and meta-analysis.

Huanjia Gao, Shiyu Liu, Hairong Cai, Dongjie Chen, Xue Fu, Shuai Zhao, Bojun Chen

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Huanjia GaoThe Second Clinical Medical School, Guangzhou University of Chinese Medicine.
Shiyu LiuThe First Clinical Medical School, Guangzhou University of Chinese Medicine.
Hairong CaiThe Second Clinical Medical School, Guangzhou University of Chinese Medicine.
Dongjie ChenDepartment of Critical Care Medicine, Beijing University of Chinese Medicine Shenzhen Hospital, Shenzhen, Guangdong, Province, China.
Xue FuDepartment of Emergency, the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine.
Shuai ZhaoThe Second Clinical Medical School, Guangzhou University of Chinese Medicine.
Bojun ChenThe Second Clinical Medical School, Guangzhou University of Chinese Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary heart disease (CHD) is the leading cause of morbidity and mortality worldwide. Guipi Decoction (GPD) is a classical traditional Chinese medication used to treat CHD. However, systematic review and meta-analysis regarding its efficacy and safety has not been systematically evaluated. The objective of this protocol is to determine the efficacy and safety of GPD in the treatment of CHD.

methodsRandomized controlled trials evaluating the effectiveness and safety of GPD in the treatment of CHD will be retrieved from 8 electronic databases, including PubMed, EMBASE, Cochrane Library, Web of science, China National Knowledge Infrastructure Database, VIP Database, Wanfang Database and China Biology Medicine Database. Study selection, data collection, risk of bias assessment, and evaluation of the quality of evidence will be performed in order. Data will be analyzed by RevMan V.5.3.5 software.

resultsThis study will evaluate the efficacy and safety of GPD in the treatment of CHD.

conclusionThis systematic review will provide evidence for determining whether or not GPD is an effective and safe intervention for CHD. PROSPERO REGISTRATION NUMBER: PROSPERO CRD 42020156420.

Indexed as

Coronary DiseaseDrugs, Chinese HerbalHumansMeta-Analysis as TopicSystematic Reviews as TopicTreatment OutcomeDrugs, Chinese Herbalguipi

Identifiers

PMID32769912
PMCPMC7593082

What OpenQuestion holds

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Registered trials

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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.