Evidence map›Paper›PMID 28810560›Full record

ArticleExperimental and therapeutic medicine2017

Effects of Taohongsiwu decoction on the expression of α-SMA and TGF-β1 mRNA in the liver tissues of a rat model of hepatic cirrhosis.

Tongsheng Wang, Deling Wu, Peipei Li, Ke Zhang, Shanjun Tao, Zhu Li, Jun Li

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. 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 37% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. miR‑148a‑3p regulates alcoholic liver fibrosis through targeting ERBB3.International journal of molecular medicine · 2020
    Article
  4. 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 at 2 institutions in 1 country.

Tongsheng WangSchool of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, P.R. China.
Deling WuDepartment of Natural Chemistry, School of Pharmacy, Anhui University of Chinese Medicine, Hefei, Anhui 230012, P.R. China.
Peipei LiDepartment of Natural Chemistry, School of Pharmacy, Anhui University of Chinese Medicine, Hefei, Anhui 230012, P.R. China.
Ke ZhangDepartment of Natural Chemistry, School of Pharmacy, Anhui University of Chinese Medicine, Hefei, Anhui 230012, P.R. China.
Shanjun TaoDepartment of Natural Chemistry, School of Pharmacy, Anhui University of Chinese Medicine, Hefei, Anhui 230012, P.R. China.
Zhu LiDepartment of Pharmacology, Clinical College of Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, Anhui 230032, P.R. China.
Jun LiSchool of Pharmacy, Anhui Medical University, Hefei, Anhui 230032, P.R. China.
Anhui University of Traditional Chinese Medicine · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the treatment effects of Taohongsiwu decoction on the liver fibrosis in a rat model, as few prior studies have investigated the anti-fibrotic effects of Taohongsiwu decoction. High-performance liquid chromatography was used to measure the concentration of ferulic acid and hydrosafflower flavin A in the decoction. Male Sprague-Dawley rats were randomly divided into control, model, colchicine (positive group), Taohongsiwu-high, Taohongsiwu-moderate and Taohongsiwu-low groups; 50% carbon tetrachloride (CCl

Indexed as

collagen Ihepatic cirrhosistransforming growth factor-β1α-smooth muscle actinΤaohongsiwu decoction

Identifiers

PMID28810560
PMCPMC5525594
OpenAlexW2625613913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.