Evidence map›Paper›PMID 33782554›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Utility of noninvasive genome-wide screening: a prospective cohort of obstetric patients undergoing diagnostic testing.

Stephanie Guseh, Louise Wilkins-Haug, Anjali Kaimal, Lisa Dunn-Albanese, Sophie Adams, Sarah Carroll, Marie Discenza, Lori Dobson, Marney Brillinger, Judith Foster and 10 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Single-cell-based non-invasive screening for fetal pathogenic microimbalances using maternal blood: comparison with invasive prenatal diagnosis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  5. Article
  6. Article
  7. Article
  8. 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

20 authors at 2 institutions in 1 country.

Stephanie GusehDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. sguseh@bwh.harvard.edu.ORCID 0000-0003-0689-9021
Louise Wilkins-HaugDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Anjali KaimalDivision of Maternal-Fetal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lisa Dunn-AlbaneseDivision of Maternal-Fetal Medicine, Newton Wellesley Hospital, Harvard Medical School, Boston, MA, USA.
Sophie AdamsCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Sarah CarrollDivision of Maternal-Fetal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Marie DiscenzaCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lori DobsonCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Marney BrillingerDivision of Maternal-Fetal Medicine, Newton Wellesley Hospital, Harvard Medical School, Boston, MA, USA.
Judith FosterDivision of Maternal-Fetal Medicine, Newton Wellesley Hospital, Harvard Medical School, Boston, MA, USA.
Samantha GburCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Hayley GreenCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nancy HerrigCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Chelsea MandigoDivision of Maternal-Fetal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Michelle PacioneCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Penelope RobertsDivision of Maternal-Fetal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Abigail SassamanCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Kathleen SteinbergDivision of Maternal-Fetal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Courtney StudwellCenter for Fetal Medicine and Reproductive Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Kathryn J GrayDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCopy-number variant (CNV) assessment is recommended for patients undergoing prenatal diagnostic testing. Noninvasive screening tests have not been extensively validated for CNV detection. The objective of this study was to compare the ability of genome-wide noninvasive prenatal screening (NIPS) to chromosomal microarray to detect clinically significant findings.

methodsWe prospectively enrolled 198 subjects at the time of consent for diagnostic prenatal testing. Genome-wide NIPS results were compared with diagnostic testing results to assess NIPS test performance (n = 160, 38 subjects without microarray results excluded). Cohen's kappa statistic was used to assess test agreement.

resultsGenome-wide NIPS did not detect clinically significant chromosomal abnormalities at the same rate as diagnostic testing, κ = 0.75 (95% confidence interval [CI], 0.62-0.87). When excluding CNVs <7 Mb and findings outside the limits of genome-wide NIPS, test agreement improved, κ = 0.88 (0.79-0.97) driven by agreement for common aneuploidies (κ = 1.0). However, among patients with an abnormal fetal survey, agreement was only fair, κ = 0.38 (0.08-0.67).

conclusionWhile NIPS is an excellent screening test for common aneuploidies, genome-wide NIPS misses clinically significant findings detected on routine diagnostic testing. False positive and false negative cases highlight the importance of pretest counseling regarding NIPS limitations, especially in the setting of fetal anomalies.

Indexed as

Chromosome DisordersNoninvasive Prenatal TestingAneuploidyFemaleHumansPregnancyPrenatal DiagnosisProspective Studies

Identifiers

PMID33782554
OpenAlexW3139570397

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.