Evidence map›Paper›PMID 25289665›Full record

ArticlePloS one2014

Non-invasive prenatal chromosomal aneuploidy testing--clinical experience: 100,000 clinical samples.

Ron M McCullough, Eyad A Almasri, Xiaojun Guan, Jennifer A Geis, Susan C Hicks, Amin R Mazloom, Cosmin Deciu, Paul Oeth, Allan T Bombard, Bill Paxton and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
32.4field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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  18. Reply.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2020
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  19. Clinical experience across the fetal-fraction spectrum of a non-invasive prenatal screening approach with low test-failure rate.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2020
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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 1 institution in 1 country.

Ron M McCulloughClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Eyad A AlmasriClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Xiaojun GuanClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Jennifer A GeisClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Susan C HicksClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Amin R MazloomClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Cosmin DeciuClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Paul OethClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Allan T BombardClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Bill PaxtonClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Nilesh DharajiyaClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Juan-Sebastian SaldivarClinical Science, Sequenom Laboratories, San Diego, California, United States of America.
Sequenom (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs the first laboratory to offer massively parallel sequencing-based noninvasive prenatal testing (NIPT) for fetal aneuploidies, Sequenom Laboratories has been able to collect the largest clinical population experience data to date, including >100,000 clinical samples from all 50 U.S. states and 13 other countries. The objective of this study is to give a robust clinical picture of the current laboratory performance of the MaterniT21 PLUS LDT. STUDY

designThe study includes plasma samples collected from patients with high-risk pregnancies in our CLIA-licensed, CAP-accredited laboratory between August 2012 to June 2013. Samples were assessed for trisomies 13, 18, 21 and for the presence of chromosome Y-specific DNA. Sample data and ad hoc outcome information provided by the clinician was compiled and reviewed to determine the characteristics of this patient population, as well as estimate the assay performance in a clinical setting.

resultsNIPT patients most commonly undergo testing at an average of 15 weeks, 3 days gestation; and average 35.1 years of age. The average turnaround time is 4.54 business days and an overall 1.3% not reportable rate. The positivity rate for Trisomy 21 was 1.51%, followed by 0.45% and 0.21% rate for Trisomies 18 and 13, respectively. NIPT positivity rates are similar to previous large clinical studies of aneuploidy in women of maternal age ≥ 35 undergoing amniocentesis. In this population 3519 patients had multifetal gestations (3.5%) with 2.61% yielding a positive NIPT result.

conclusionNIPT has been commercially offered for just over 2 years and the clinical use by patients and clinicians has increased significantly. The risks associated with invasive testing have been substantially reduced by providing another assessment of aneuploidy status in high-risk patients. The accuracy and NIPT assay positivity rate are as predicted by clinical validations and the test demonstrates improvement in the current standard of care.

Indexed as

AneuploidyGenetic TestingPrenatal DiagnosisAdultChromosome DisordersFemaleHumansPregnancyReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID25289665
PMCPMC4188614
OpenAlexW2083518637

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.