Evidence map›Paper›PMID 32308703›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2020

Ya-Nan Zhao, Ya-Fei Cao, Yan-Hong Zhang, Ye Lu, Xin Ping, Shao-Kun Qin, Shu-Ning Liu, Li Chu, Guo-Qiang Sun, Lin Pei

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2020. 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
1.0field-weighted citation impact, top 30% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Rapid-Onset Antidepressant-Like Effect ofEvidence-based complementary and alternative medicine : eCAM · 2022
    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

10 authors at 4 institutions in 1 country.

Ya-Nan ZhaoSchool of Chinese Medicine, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Ya-Fei CaoHebei University of Chinese Medicine, Shijiazhuang, Hebei 050051, China.
Yan-Hong ZhangHebei University of Chinese Medicine, Shijiazhuang, Hebei 050051, China.
Ye LuHebei Key Laboratory of Turbidity, Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei 050011, China.
Xin PingSchool of Chinese Medicine, Hebei University, Baoding, Hebei 071051, China.
Shao-Kun QinSchool of Chinese Medicine, Hebei University, Baoding, Hebei 071051, China.
Shu-Ning LiuSchool of Chinese Medicine, North China University of Science and Technology, Tangshan, Hebei 063210, China.
Li ChuHebei University of Chinese Medicine, Shijiazhuang, Hebei 050051, China.ORCID https://orcid.org/0000-0002-6301-2709
Guo-Qiang SunHebei Key Laboratory of Turbidity, Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei 050011, China.ORCID https://orcid.org/0000-0003-3558-7799
Lin PeiHebei Key Laboratory of Turbidity, Hebei Academy of Chinese Medicine Sciences, Shijiazhuang, Hebei 050011, China.ORCID https://orcid.org/0000-0002-4590-9125
Hebei Academy of Sciences · CNHebei University of Chinese Medicine · CNHebei University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

resultsDepression-like behaviors increased in the CUMS group compared with the control (CON) group, while they were reduced in the high-dose HG (H-HG) and fluoxetine (FLU) groups (

conclusionsThese findings show the potential antidepressant effects of HG through mechanisms involving regulation of NCAM and GAP-43. This provides a new theoretical basis for its potential application as an antidepressant-like agent.

Identifiers

PMID32308703
PMCPMC7149381
OpenAlexW3013598701

What Socratic 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 Socratic graph.