Evidence map›Paper›PMID 34912220›Full record

ArticleFrontiers in pharmacology2021

Integrated Strategy From

Wenning Yang, Xiaoquan Jiang, Jingtong Liu, Dongying Qi, Zhiqiang Luo, Guohua Yu, Xueyan Li, Muli Sen, Hongjiao Chen, Wei Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. 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
1.2field-weighted citation impact, top 21% 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. Rapid identification of chemical profilesFrontiers in pharmacology · 2024
    Article
  3. 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

12 authors at 1 institution in 1 country.

Wenning YangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Xiaoquan JiangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Jingtong LiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Dongying QiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Zhiqiang LuoSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Guohua YuSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, China.
Xueyan LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Muli SenSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Hongjiao ChenSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Wei LiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Yang LiuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Guopeng WangZhongcai Health (Beijing) Biological Technology Development Co., Ltd., Beijing, China.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of screening active constituents from traditional Chinese medicine (TCM) is important for explicating the mechanism of action of TCM and further evaluating the safety and efficacy effectively. However, detecting and identifying the active constituents from complicated biological samples still remain a challenge. Here, a practical, quick, and novel integrated strategy from

Indexed as

absorbed componentsintestinal perfusion with venous samplingtarget network pharmacologyTongfengding capsuleUPLC-Q Exactive-Orbitrap HRMS

Identifiers

PMID34912220
PMCPMC8666879
OpenAlexW3215200503

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.