Evidence map›Paper›PMID 36289889›Full record

ArticleBiomedicines2022

Impact of Chronic Exposure to Endometriosis on Perinatal Outcomes: Establishment of a Mouse Model.

Mohammed Elsherbini, Kaori Koga, Eiko Maki, Keiichi Kumasawa, Erina Satake, Ayumi Taguchi, Tomoko Makabe, Arisa Takeuchi, Gentaro Izumi, Masashi Takamura and 5 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Induction of Endometriosis in a Menstruating Mouse Model (Mus musculus): A Translational Animal Disease Model.Journal of the American Association for Laboratory Animal Science : JAALAS · 2025
    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

15 authors at 3 institutions in 1 country.

Mohammed ElsherbiniDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0001-7070-3682
Kaori KogaDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Eiko MakiDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Keiichi KumasawaDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Erina SatakeDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Ayumi TaguchiDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Tomoko MakabeDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Arisa TakeuchiDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Gentaro IzumiDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0002-4546-1084
Masashi TakamuraDepartment of Obstetrics and Gynecology, Faculty of Medicine, Saitama Medical University, Saitama 350-0495, Japan.ORCID 0000-0001-9335-303X
Miyuki HaradaDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Tetsuya HirataDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
Yasushi HirotaDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0003-0241-9780
Osamu Wada-HiraikeDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0002-3458-6711
Yutaka OsugaDepartment of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
The University of Tokyo · JPSaitama Medical University · JPSt. Luke's International Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to establish a new mouse model of endometriosis that mimics real-world women's health problems, in which women continue to be affected by endometriosis long before they wish to become pregnant, and to evaluate the impact of "chronic exposure to endometriosis" on perinatal outcome. Endometriosis was established by the intraperitoneal injection of homologous minced mouse uteri. Vehicle was injected for the control. Mating was initiated either 1 or 43 days after disease establishment (Young or Aged studies, respectively). Mice were sacrificed on 18 dpc. The number pups and resorptions were counted and pups' body weights (BW) were measured, and the endometriosis lesion was identified and weighted. In the Young study, the number of resorptions and BW were comparable between the groups. In the Aged study, the number of resorptions was significantly higher and BW was significantly lower in endometriosis than that in control. The total weight of endometriosis lesion per dam was significantly lower in the Aged compared to the Young endometriosis group; however, not a single mouse was found to have any lesions at all. These results suggest that in addition to the presence of endometriosis per se, "chronic exposure to endometriosis" prior to pregnancy affect perinatal outcomes.

Indexed as

agedeliveryfertilitymatingnewbornpreconceptionpregnancypreterm laborresorptionSGA

Identifiers

PMID36289889
PMCPMC9599701
OpenAlexW4306836219

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.