Evidence map›Paper›PMID 31293341›Full record

ArticleWorld journal of gastroenterology2019

Freeze-dried Si-Ni-San powder can ameliorate high fat diet-induced non-alcoholic fatty liver disease.

Feng Zhu, Yong-Min Li, Ting-Ting Feng, Yue Wu, Hai-Xia Zhang, Guo-Yin Jin, Jian-Ping Liu

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

Feng ZhuDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Yong-Min LiDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China. zyxylym@hebeinu.edu.cn.
Ting-Ting FengDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Yue WuDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Hai-Xia ZhangDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Guo-Yin JinDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou 075000, Hebei Province, China.
Jian-Ping LiuDepartment of Gastroenterology, People's Hospital of Changshou District, Chongqing 401220, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease worldwide. However, to date, there is no ideal therapy for this disease.

aimTo study the effects of Si-Ni-San freeze-dried powder on high fat diet-induced NAFLD in mice.

methodsTwenty-four male C57BL/6 mice were randomized into three groups of eight. The control group (CON) was allowed

resultsCompared with the FAT group, the SNS group exhibited decreased body weight, liver index, visceral fat index, serum ALT, portal LPS, liver TNF-α and liver triglycerides (

conclusionThe beneficial effects of Si-Ni-San freeze-dried powder on high fat diet-induced NAFLD in mice may be associated with its anti-inflammatory and changing intestinal microbiota effects.

Indexed as

AnimalsAnti-Inflammatory AgentsDiet, High-FatDisease Models, AnimalDrug CompoundingDrug Evaluation, PreclinicalDrugs, Chinese HerbalFreeze DryingGastrointestinal MicrobiomeHumansMaleMiceNon-alcoholic Fatty Liver DiseasePowdersTreatment OutcomeAnti-Inflammatory AgentsDrugs, Chinese HerbalPowdersshigyaku-sanHigh fat dietInflammationIntestinal microbiotaNonalcoholic fatty liver diseaseSi-Ni-San

Identifiers

PMID31293341
PMCPMC6603807

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.