Evidence map›Paper›PMID 35463657›Full record

ArticleJournal of healthcare engineering2022

An Association between EMX2 Variations and Mayer-Rokitansky-Küster-Hauser Syndrome: A Case-Control Study of Chinese Women.

Haiping Li, Shi Liao, Guangnan Luo, Haixia Li, Shuai Wang, Zhimin Li, Xiping Luo

RetractedOpen access · hybridAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Haiping LiDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 511442, China.
Shi LiaoDepartment of Gynecology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong 518005, China.
Guangnan LuoDepartment of Gynecology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong 518005, China.
Haixia LiSchool of Basic Medical Sciences, Hubei University of Medicine, Shiyan, Hubei 442000, China.
Shuai WangDepartment of Obstetrics and Gynecology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong 528237, China.
Zhimin LiDepartment of Gynecology, Guangdong Women and Children Hospital, Guangzhou, Guangdong 511442, China.
Xiping LuoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 511442, China.ORCID 0000-0002-8275-6236
Guangdong Province Women and Children Hospital · CNHubei University of Medicine · CNShenzhen University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is characterized by congenital malformations of Müllerian structures, including the uterus and upper two-thirds of the vagina in women. Until now, the etiology of this disease has remained unknown. We hypothesized that EMX2 (the human homologue of

Indexed as

46, XX Disorders of Sex DevelopmentCongenital AbnormalitiesHomeodomain ProteinsMullerian DuctsTranscription FactorsCase-Control StudiesChinaEmpty Spiracles Homeobox ProteinsFemaleHumansUntranslated RegionsEmpty Spiracles Homeobox ProteinsHomeodomain ProteinsTranscription FactorsUntranslated Regions

Identifiers

PMID35463657
PMCPMC9020933
OpenAlexW4224002294

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.