Evidence map›Paper›PMID 37964244›Full record

ArticleBMC pregnancy and childbirth2023

A new contingent screening strategy increased detection rate of trisomy 21 in the first trimester.

Wei Luo, Bin He, Daiwen Han, Lixing Yuan, Jun Tang, Ling Pang, Fene Zou, Kai Zhao, Shanling Liu, Ting Hu

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. PAPPA's role in female reproduction.Reproduction (Cambridge, England) · 2025
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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

10 authors at 2 institutions in 1 country.

Wei LuoDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Bin HeDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Daiwen HanDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Lixing YuanDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Jun TangDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Ling PangDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Fene ZouDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Kai ZhaoDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Shanling LiuDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Ting HuDepartment of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. huting4123@163.com.
West China Second University Hospital of Sichuan University · CNSichuan University · CN

Funding

Fundamental Research Funds for the Central Universities SCU2022F4080National Key Research and Development Program of China 2022YFC2703302Sichuan Province Science and Technology Support Program, China 2021YFS0078Sichuan Province Science and Technology Support Program, China 2022YFS0078
6 · The paper itself

Abstract

backgroundAlthough the traditional contingent screening strategy is effective, there are still undetected low-risk trisomy 21. This study aims to define appropriate cut-off values of serum biochemical markers at low-risk and develop a strategy for sequential prenatal testing associated with first-trimester screening to increase the detection rate of trisomy 21.

methodsThis was a 9-year retrospective analysis of singleton pregnant women who underwent serum biochemical screening or combined first-trimester screening (CFTS) in the first trimester. For the low-risk group, the cut-off values of the serum biochemical markers were adjusted to determine the appropriate detection efficiency. Gravidas with abnormal serum biochemical markers at low-risk were advised to undergo further non-invasive prenatal screening (NIPS), whereas others continued with routine prenatal care.

resultsWhen cut-off values of free beta subunit of human chorionic gonadotropin (free β-hCG) multiples of the median (MoM) or pregnancy-associated plasma protein A (PAPP-A) MoM were defined with ≥ 2.75 or ≤ 0.5, 7.72% (2,194/28,405) in the serum biochemical screening group and 12.36% (4,005/32,403) in CFTS group could be detected as abnormal results for further NIPS. Finally, 55.56% (5/9) and 85.71% (6/7) of trisomy 21 cases with false-negative results were detected, and the overall detection rate for trisomy 21 was improved by 10.64% (5/47) and 12.77% (6/47), respectively.

conclusionsThe new contingent screening strategy can increase the detection rate of trisomy 21 compared with the traditional contingent screening strategy.

Indexed as

Down SyndromeBiomarkersChorionic Gonadotropin, beta Subunit, HumanFemaleHumansNuchal Translucency MeasurementPregnancyPregnancy-Associated Plasma Protein-APregnancy Trimester, FirstPrenatal DiagnosisRetrospective StudiesTrisomyBiomarkersChorionic Gonadotropin, beta Subunit, HumanPregnancy-Associated Plasma Protein-AContingent screening strategyFirst-trimester screeningNon-invasive prenatal screeningPrenatal diagnosisSerum biochemical screeningTrisomy 21

Identifiers

PMID37964244
PMCPMC10644464
OpenAlexW4388656970

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.