Evidence map›Paper›PMID 37065765›Full record

ArticleFrontiers in endocrinology2023

Gender bias in fetal malformations: A cross-sectional study in Asian populations.

Meixiang Zhang, Yingchun Su, Ying-Pu Sun

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. 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

3 authors.

Meixiang ZhangCenter for Reproductive Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yingchun SuCenter for Reproductive Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ying-Pu SunCenter for Reproductive Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study was to detect any gender bias in fetal malformation cases. Design: This study was a cross-sectional, quantitative survey. Subjects: Overall, 1,661 Asian fetal malformation cases involving induced abortions in the obstetrics department of the first Affiliated Hospital of Zhengzhou University from 2012 to 2021 were included. Main outcome measures: Measurements of ultrasound detectable structural malformations were classified into 13 subtypes. Karyotyping, single nucleotide polymorphism (SNP) array, or sequencing diagnosis of these fetus was also included in the outcome measures. Results: The sex ratio (male/female) of all malformation types was 1.446. Cardiopulmonary had the highest proportion of all malformation types with 28%. Diaphragmatic hernia, omphalocele, gastroschisis, nuchal translucency (NT), and Multy malformations had significantly higher proportions of males ( Conclusion: Sex differences are common with fetal malformations, with higher proportions of males. Genetic testing has been proposed to account for these differences.

Indexed as

Down SyndromeSexismCross-Sectional StudiesFemaleGenetic TestingHumansKaryotypingMalePregnancycross-sectional studyfetal malformationgender biasinduced abortionsex ratiosingle nucleotide polymorphism (SNP) array

Identifiers

PMID37065765
PMCPMC10101566

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.