Evidence map›Paper›PMID 34017449›Full record

ArticleAmerican journal of translational research2021

Celecoxib reduces inflammation and angiogenesis in mice with adenomyosis.

Shuang Liang, Lu-Ying Shi, Jing-Ya Duan, Huan-Huan Liu, Ting-Ting Wang, Can-Yu Li

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 27 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Shuang LiangDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University China.
Lu-Ying ShiDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University China.
Jing-Ya DuanDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University China.
Huan-Huan LiuDepartment of Obstetrics and Gynecology, Xinxiang Central Hospital China.
Ting-Ting WangDepartment of Gynecology, Kaifeng Obstetrics and Gynecology Hospital China.
Can-Yu LiDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University China.
Third Affiliated Hospital of Zhengzhou University · CNKaifeng University · CNXinxiang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to explore the effect of COX-2 selective inhibitor (celecoxib) on adenomyosis and its mechanism.

methodsBy establishing a mouse model of adenomyosis and using celecoxib to treat adenomyosis, newly born female mice were randomly divided into a control group, adenomyosis model group, and celecoxib group. Hematoxylin-eosin (H&E) staining was used to observe the depth of endometrial infiltration of mouse adenomyosis. RT-PCR (reverse transcription PCR) and western blot were used to detect the expression of Cyclooxygenase-2 (COX-2), Vascular growth factor (VEGF), Nerve growth factor (NGF), and Corticotropin-releasing hormone (CRH) mRNA and protein in mice before and after celecoxib treatment.

resultsAfter treatment with celecoxib, the depth of endometrial infiltration of mouse adenomyosis was reduced. COX-2 and VEGF decreased significantly after celecoxib inhibited expression of COX-2 (P<0.001), but there was no significant difference in the expression of NGF or CRH (P>0.05).

conclusionThis study indicated that COX-2 may be an important factor related to the pathogenesis of adenomyosis, and it may become an important molecular target for the treatment of adenomyosis.

Indexed as

AdenomyosiscelecoxibCOX-2CRHEMTNGFVEGF

Identifiers

PMID34017449
PMCPMC8129283
OpenAlexW3160128354

What OpenQuestion holds

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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.