Evidence map›Paper›PMID 35741220›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Detection of Embryonic Trisomy 21 in the First Trimester Using Maternal Plasma Cell-Free RNA.

Carl P Weiner, Mark L Weiss, Helen Zhou, Argyro Syngelaki, Kypros H Nicolaides, Yafeng Dong

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

6 authors at 4 institutions in 2 countries.

Carl P WeinerDepartments of Obstetrics and Gynecology and Molecular and Integrative Physiology, University of Kansas School of Medicine, Kansas City, KS 66160, USA.ORCID 0000-0002-1044-9026
Mark L WeissDepartments of Anatomy and Physiology & Midwest Institute of Comparative Stem Cell Biology, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0002-4647-7619
Helen ZhouDepartments of Obstetrics and Gynecology and Molecular and Integrative Physiology, University of Kansas School of Medicine, Kansas City, KS 66160, USA.
Argyro SyngelakiFetal Medicine Research Institute, King's College Hospital, London SE5 9RS, UK.
Kypros H NicolaidesFetal Medicine Research Institute, King's College Hospital, London SE5 9RS, UK.
Yafeng DongRosetta Signaling Laboratory, Phoenix, AZ 85018, USA.
King's College Hospital · GBUniversity of Kansas · USKansas State University · USRosetta Stone (United States) · US

Funding

UNDERSTANDING THE ROLE OF SMALL RNAS IN ARABIDOPSIS POLLEN DEVELOPMENTP20RR016475 · NCRR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI LUSHINGTON, GERALD H · 2001 to 2011
$38.1M
NCRR NIH HHS P20 RR016475
6 · The paper itself

Abstract

Prenatal trisomy 21 (T21) screening commonly involves testing a maternal blood sample for fetal DNA aneuploidy. It is reliable but poses a cost barrier to universal screening. We hypothesized maternal plasma RNA screening might provide similar reliability but at a lower cost. Discovery experiments used plasma cell-free RNA from 20 women 11−13 weeks tested by RNA and miRNA microarrays followed by qRT-PCR. Thirty-six mRNAs and 18 small RNAs of the discovery cDNA were identified by qPCR as potential markers of embryonic T21. The second objective was validation of the RNA predictors in 998 independent pregnancies at 11−13 weeks including 50 T21. Initial analyses identified 9−15 differentially expressed RNA with modest predictive power (AUC < 0.70). The 54 RNAs were then subjected to machine learning. Eleven algorithms were trained on one partition and tested on an independent partition. The three best algorithms were identified by Kappa score and the effects of training/testing partition size and dataset class imbalance on prediction were evaluated. Six to ten RNAs predicted T21 with AUCs up to 1.00. The findings suggest that maternal plasma collected at 11−13 weeks, tested by qRT-PCR, and classified by machine learning, may accurately predict T21 for a lower cost than plasma DNA, thus opening the door to universal screening.

Indexed as

aneuploidyantenatal diagnosisantenatal screeningmachine learningplasma transcriptomepregnancyRNAtrisomy 21

Identifiers

PMID35741220
PMCPMC9221829
OpenAlexW4281694205

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.