Evidence map›Paper›PMID 41584926›Full record

ArticleFrontiers in genetics2025

Retrospective analysis of non-invasive prenatal testing: a population study involving 19,835 participants in the Shaoyang area.

Muping Zhou, Hua Zhang, Jun Wen, Na Liu, Zhongchun Wu, Ting Lin, Mengyun Tang, Yan Huang, Ying Xiao, Hui Xie and 6 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Muping ZhouShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Hua ZhangShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Jun WenShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Na LiuShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Zhongchun WuShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Ting LinShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Mengyun TangShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Yan HuangShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Ying XiaoShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Hui XieDepartment of Pathology, The Central Hospital of Shaoyang, Shaoyang, China.
Xia OuyangShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Xiang XiaoShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Liyuan DengShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Ning ChenShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Ani ZengShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.
Jinping PengShaoyang Prenatal Diagnosis Center, The Maternal and Child Health Hospital of Shaoyang City, Shaoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This cohort study aimed to evaluate the clinical efficacy of Non-invasive prenatal testing (NIPT) in detecting fetal chromosomal abnormalities within a pregnant population in the Shaoyang area, and to further investigate the potential correlation between parental ages and the risk of such abnormalities. Methods: A cohort study was conducted involving 19,835 pregnant women recruited for NIPT between October 2019 and April 2024. The performance of NIPT was assessed based on its positive predictive value (PPV), sensitivity, and specificity. The relationship between parental age and chromosomal abnormalities was analyzed. Results: We identified 88 positive cases, among which Trisomy 13, 18, and 21 accounted for 64 cases. The total PPV was 75.29%. Additionally, we detected 28 cases of sex chromosomal aneuploidies, with an overall PPV of 24.56%. The detection rate of autosomal abnormalities was higher in parents aged 35 years or older (5.49‰) compared to that in the younger parental age group (2.62‰). Unexpectedly, the sex chromosomal abnormalities exhibited an opposite trend, with the younger group demonstrating a higher detection rate of 1.31‰ than the advanced parental age group (0.61‰). All 7 cases of 47,XXY were concentrated among parents under 35 years of age. These results indicate that advanced parental ages are associated with an increased risk of autosome abnormalities; conversely, younger parental ages appear to correlate with a heightened risk of sex chromosome abnormalities. Conclusion: Parental ages may thus influence the occurrence of chromosome abnormalities. Our findings provide novel insights for prenatal genetic counseling.

Indexed as

NIPTparental agesPPVprenatal diagnosissex chromosome abnormalitiestrisomy

Identifiers

PMID41584926
PMCPMC12826598

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.