Evidence map›Paper›PMID 35497256›Full record

ArticleRSC advances2020

Identification of blood-activating components from Xueshuan Xinmaining Tablet based on the spectrum-effect relationship and network pharmacology analysis.

Jing Tan, Junli Liu, Han Wang, Ying Zhang, Hongqiang Lin, Zhongyao Wang, Hanrui Si, Yutong Zhang, Jinping Liu, Pingya Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 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
2.0field-weighted citation impact, top 14% 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

1 citing paper in PubMed, 14 citations in OpenAlex.

  1. Selecting and Characterizing Tyrosinase Inhibitors fromJournal of analytical methods in chemistry · 2021
    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

11 authors at 1 institution in 1 country.

Jing TanSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Junli LiuSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Han WangSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Ying ZhangSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Hongqiang LinSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Zhongyao WangSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Hanrui SiSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Yutong ZhangSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Jinping LiuSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.ORCID https://orcid.org/0000-0003-4020-879X
Pingya LiSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Kai SunSchool of Pharmaceutical Sciences, Jilin University Fujin Road 1266 Changchun 130021 Jilin China liujp@jlu.edu.cn lipy@jlu.edu.cn thomassk@jlu.edu.cn +86-431-85619803.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the aim of identifying the active components of Xueshuan Xinmaining Tablet (XXT) and discussing the potential mechanism involved, the relationship between HPLC fingerprints and its blood-activating effect were established by multivariate statistical analysis, including gray relational analysis (GRA) and partial least squares regression analysis (PLSR). Network pharmacology was used to predict the potential mechanism based on the identified active components. GRA and PLSR analysis showed close correlation between the HPLC fingerprints and blood-activating activity, and peaks P1, P3, P11, P15, P22, P34, P36, P38 and P39 might be potential anti-blood stasis components of XXT. The pharmacological verification showed that salvianic acid A (P1), rutin (P3), ginsenoside Rg

Identifiers

PMID35497256
PMCPMC9050128
OpenAlexW3011919362

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.