Evidence map›Paper›PMID 33031339›Full record

ArticleMedicine2020

Clinical efficacy and safety of Ganshuang granules as an adjuvant treatment for chronic hepatitis B liver fibrosis: A protocol for systematic review and meta analysis.

Shaoqian Zeng, Yefang Liu, Cen Jiang, Baixue Li, Li Wen, Quansheng Feng

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Shaoqian ZengChengdu University of Traditional Chinese Medicine.
Yefang LiuNo. 3 Affiliated Hospital of Chengdu University of TCM (West District), Chengdu Pidu District Hospital of TCM, Chengdu, Sichuan, China.
Cen JiangChengdu University of Traditional Chinese Medicine.
Baixue LiChengdu University of Traditional Chinese Medicine.
Li WenChengdu University of Traditional Chinese Medicine.
Quansheng FengChengdu University of Traditional Chinese Medicine.
Chengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic hepatitis B liver fibrosis is significant public concern. Ganshuang granules (GSG) are used to treat liver fibrosis for a long time. The aim of this study is to synthesize related data to explore efficacy and safety of GSG as an adjuvant treatment for chronic hepatitis B liver fibrosis.

methodsElectronic database were used to identify related studies. We chose PubMed, China Knowledge Network Infrastructure, China Biomedical Database, Wan Fang Data, VIP Database, EMBASE, and Cochrane Library as retrieval tool. Two independent individuals conducted the publication selection, data extraction, data assessment. Any problems between 2 researchers will be resolved by a third reviewer through negotiation. RevMan 5.3 (The Cochrane Collaboration, Copenhagen, Denmark) software will be used for data analysis.

resultsThis study will systematically detect the efficacy and safety of GSG for treating chronic hepatitis B liver fibrosis.

conclusionThis study will provide scientific evidence to explorer whether GSG are efficacy and safety in treating chronic hepatitis B liver fibrosis. PROSPERO REGISTRATION NUMBER: INPLASY202090027.

Indexed as

PhytotherapyDrugs, Chinese HerbalHepatitis B, ChronicHumansLiver CirrhosisMeta-Analysis as TopicSystematic Reviews as TopicDrugs, Chinese Herbal

Identifiers

PMID33031339
PMCPMC7544267
OpenAlexW3083561369

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.