Evidence map›Paper›PMID 34463829›Full record

ReviewMedical molecular morphology2022

Role of repressed microRNAs in endometriosis.

Kaei Nasu, Yoko Aoyagi, Ruofei Zhu, Mamiko Okamoto, Mitsutake Yano, Kentaro Kai, Yasushi Kawano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medical molecular morphology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Dissecting theBiomedicines · 2022
    Article
  3. Review
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 1 institution in 1 country.

Kaei NasuDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan. nasu@oita-u.ac.jp.ORCID http://orcid.org/0000-0002-4512-3325
Yoko AoyagiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Ruofei ZhuDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Mamiko OkamotoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Mitsutake YanoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Kentaro KaiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Yasushi KawanoDepartment of Obstetrics and Gynecology, Faculty of Medicine, Oita University, Idaigaoka 1-1, Hasama-machi, Yufu-shi, Oita, 879-5593, Japan.
Oita University · JP

Funding

japan society for the promotion of science 20K09622
6 · The paper itself

Abstract

Endometriosis is a common, estrogen-dependent benign tumor that affect 3-10% women of reproductive age, and is characterized by the ectopic growth of endometrial tissue, which is found primarily in the rectovaginal septum, ovaries, and pelvic peritoneum. To date, accumulating evidence suggests that various epigenetic aberrations, including the expression of aberrant microRNAs (miRNAs), play definite roles in the pathogenesis of endometriosis. This review summarizes the recent findings on the aberrantly repressed miRNAs, as well as their potential roles regarding the pathogenesis of endometriosis.

Indexed as

EndometriosisMicroRNAsEndometriumFemaleHumansMicroRNAsEndometriosisEpigeneticsmicroRNAPathogenesis

Identifiers

PMID34463829
OpenAlexW3197058763

What OpenQuestion holds

Textmetadata
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.