Evidence map›Paper›PMID 34532384›Full record

ArticleAnnals of translational medicine2021

Identification of

Shan Shi, Yifan Luo, Yue Ma, Yanjie Chu, Yidan Wang, Xiaohui Chen, Yang Chu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 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
1.9field-weighted citation impact, top 15% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Arabian journal of chemistry · 2022
    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 3 institutions in 1 country.

Shan ShiDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China.
Yifan LuoDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China.
Yue MaDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China.
Yanjie ChuDepartment of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China.
Yidan WangDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China.
Xiaohui ChenDepartment of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China.
Yang ChuDepartment of Pharmacy, The First Hospital of China Medical University, Shenyang, China.
China Medical University · CNShenyang Pharmaceutical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaoguo (

methodsCaoguo were extracted by accelerated solvent extraction (ASE) and n-hexane:ethyl acetate (1:1, v/v) was selected as the extraction solvent. Gas chromatography-mass spectrometry (GC-MS) was adopted to analyze and identify the volatile components

resultsBy comparing the retention times and mass spectrometry data, as well as retrieving the reference literature, a total of 169 components were tentatively identified in Caoguo extract and 43 components were identified in rats plasma samples for the first time. The results of network pharmacology analysis indicated that the potential mechanism was mainly associated with regulation of lipolysis in adipocytes and serotonergic synapse signaling pathway, which might be responsible for the effect of indigestion.

conclusionsCaoguo was first extracted by ASE and the volatile chemical components

Indexed as

accelerated solvent extraction (ASE)Caoguogas chromatography-mass spectrometry (GC-MS)network pharmacologyTraditional Chinese medicine

Identifiers

PMID34532384
PMCPMC8421984
OpenAlexW3190927227

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.