Evidence map›Paper›PMID 36602559›Full record

ReviewArchives of gynecology and obstetrics2023

Non-invasive prenatal test findings in 41,819 pregnant women: results from a clinical laboratory in southern China.

Siping Liu, Qingxian Chang, Fang Yang, Yushuang Xu, Bei Jia, Ruifeng Wu, Liyan Li, Ailan Yin, Weishan Chen, Fodi Huang and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of gynecology and obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.1field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Siping LiuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qingxian ChangDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fang YangDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yushuang XuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Bei JiaDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ruifeng WuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Liyan LiDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ailan YinDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Weishan ChenDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fodi HuangDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xuexi YangInstitute of Antibody Engineering, School of Laboratory Medical and Biotechnology, Southern Medical University, Guangzhou, China.
Fenxia LiDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China. lifenxia123@qq.com.ORCID 0000-0003-1814-1357
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis paper evaluated the clinical utility of massively parallel sequencing-based non-invasive prenatal testing (NIPT) for detecting trisomy 21 (T21), T18, T13, sex chromosome aneuploidies (SCA), and rare chromosome aneuploidies (RCA) among the data collected by a clinical laboratory in southern China.

methodsIn a 3-year period between January 2017 and December 2019, over 40,000 pregnant women underwent NIPT clinical screening test for fetal T21, T18, T13, SCA, and RCA in our laboratory. NIPT samples were processed using the NextSeq CN500 platform. The positive results were confirmed by karyotyping, and chromosomal microarray analysis (CMA) or copy number variants (CNV) sequencing. Details of the pregnancy outcomes were collected via telephone interview.

resultsNIPT results were available for 41,819 cases; 691 positive cases were reported. The overall sensitivity for detection of T21, T18, T13, SCA, and RCA was 99.21, 100.00, 100.00, 98.55, and 100.00%, and the specificity was 99.95, 99.94, 99.98, 99.69, and 99.92%, respectively. The positive predictive values (PPVs) for detection of T21, T18, T13, SCA, and RCA were 85.62, 45.24, 40.00, 34.17, and 13.51%, respectively, and those for detection of 45,X, 47,XXY, 47,XXX, 47,XYY, and 46,XY(delX) 20.00, 59.18, 28.95, 61.54, and 25.00%, respectively. Regarding pregnancy outcomes, 92.38% of the pregnancies with confirmed aneuploidies were terminated, and 91.20% of those identified as having a false-positive result were carried to term. Among 252 unconfirmed cases, 24.60% of the pregnancies were terminated and 38.10% carried to term, while 37.30% declined interview.

conclusionsNIPT is widely used to screen fetal aneuploidies based on its high sensitivity and specificity. However, in this study, the PPVs of NIPT in terms of detecting T18, T13, XO, XXX and RCA were < 50%. In addition, more than one-third of NIPT-positive women did not accept invasive prenatal diagnosis. Confirmatory diagnosis is strongly recommended for women with positive NIPT outcomes before any further decision is made.

Indexed as

Down SyndromePregnant PeopleAneuploidyFemaleHumansLaboratories, ClinicalPregnancyPregnancy OutcomePrenatal DiagnosisCell-free DNANon-invasive prenatal testing (NIPT)Positive predictive value (PPV)Rare chromosome aneuploidies (RCA)Sex chromosome aneuploidies (SCA)

Identifiers

PMID36602559
OpenAlexW4313545713

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.