Evidence map›Paper›PMID 32569201›Full record

ArticleMedicine2020

Effectiveness and safety of traditional Chinese medicines for non-alcoholic fatty liver disease: Protocol for systematic review and meta-analysis.

Manman Qin, Fuqiang Yuan, Jiankun Ren, Zhenhai Chi

Abstract readClinical Trial Protocol
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

4 authors.

Manman QinJiangxi University of Traditional Chinese Medicine, Wanli District, Nanchang, Jiangxi.
Fuqiang YuanJiangxi University of Traditional Chinese Medicine, Wanli District, Nanchang, Jiangxi.
Jiankun RenHenan Vocational College of Nursing, Anyang, Henan.ORCID 0000-0002-3644-6317
Zhenhai ChiDepartment of Acupuncture-Moxibustion, the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious reviews indicate that the effect of Traditional Chinese medicines (TCM) on non-alcoholic fatty liver disease (NAFLD) remains uncertainty. The study results published in the past 8 years may change this situation, but there is no updated systematic review. Therefore, we designed this study to systematically evaluate the effectiveness and safety of TCM in the treatment of NAFLD. METHODS AND ANALYSIS: We will search nine online databases from inception to October 01 2019, and the language will not be restricted on included trials. Randomized controlled trials that included patients with NAFLD receiving TCM therapy versus a control group will be included. Two researcher will perform independently the selection of studies, risk of bias assessment and data extraction. We will use the RevMan V.5.2 software with fixed effects model or random effects model according to the heterogeneity test to conduct the data synthesis. We will present the dichotomous data and the continuous data with risk ratios with 95% CIs and weighted mean differences or standardized mean differences with 95% CIs. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) system will be used to evaluate the evidence quality with low risk, unclear risk, and high risk.

resultsThis study will demonstrate an evidence-based review of TCM for NAFLD.

conclusionThe study will provide clear evidence to assess the effectiveness and side effects of TCM for NAFLD.

Indexed as

Medicine, Chinese TraditionalNon-alcoholic Fatty Liver DiseaseHumansMeta-Analysis as TopicRandomized Controlled Trials as TopicSystematic Reviews as Topic

Identifiers

PMID32569201
PMCPMC7310736

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.