Evidence map›Paper›PMID 42017462›Full record

Observational studyPrenatal diagnosis2026

Impact of Maternal Body Mass Index (BMI) on the Performance of Non-Invasive Prenatal Testing (NIPT).

Kristina Valovicova, Marike Polak, Sophie Ottema, Glenn Huijbregts, Marieke Joosten, Karin E M Diderich, Mark Drost, Sandra Heil, Sander Galjaard, Diane Van Opstal and 1 more

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Prenatal diagnosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kristina ValovicovaDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0009-0008-5155-0404
Marike PolakDepartment of Psychology, Education & Child Studies (DPECS), Erasmus University Rotterdam, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0002-5012-5480
Sophie OttemaDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Glenn HuijbregtsDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Marieke JoostenDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Karin E M DiderichDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Mark DrostDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Sandra HeilCenter for Health Protection (GZB), Public Health Genomics & Screening (PGS), National Institute for Public Health & the Environment (RIVM), Bilthoven, the Netherlands.
Sander GaljaardDepartment of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
Diane Van OpstalDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0002-3895-6775
Malgorzata Ilona SrebniakDepartment of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.ORCID https://orcid.org/0000-0003-3429-6156

Funding

Masarykova Univerzita MUNI/A/1603/2024
6 · The paper itself

Abstract

objectiveNoninvasive prenatal testing (NIPT) is widely used to screen for common fetal trisomies. Fetal fraction (FF), essential for NIPT accuracy, can be influenced by maternal obesity. This study analyzes NIPT results by obesity status and suggests strategies to improve performance.

methodThis observational retrospective study evaluated FF, gestational age, number of re-works and re-sampling, and frequency of non-meaningful and aberrant results in different BMI categories in 26,000 pregnancies that underwent NIPT from April 2023 to March 2024.

resultsBMI was significantly associated with higher re-working and re-sampling needs due to non-meaningful results. Low FF (< 4%) occurred in 4.5% of women with normal weight (NW) and in 19.5% of obese women (BMI > 30), with the highest prevalence of 35.5% in women with severe obesity (BMI ≥ 40). The effectiveness of re-working was 56% in obese women (BMI > 30) compared to 79% in a normal weight category (NW). The overall observed positivity rate in obese women was 0.45%, significantly lower than that in NW (0.94%).

conclusionOur results indicate that NIPT performs suboptimal in obese women due to too low FF. This should be addressed during pre-test counseling and strategies such as re-sampling instead of re-working, or postponing NIPT until after 12 weeks of gestation may be advisable.

Indexed as

Body Mass IndexNoninvasive Prenatal TestingObesityAdultFemaleGestational AgeHumansPregnancyRetrospective Studiesbody mass indexcell‐free DNANIPTnon‐invasive prenatal testingobesityoverweight

Identifiers

PMID42017462
PMCPMC13255160

What Socratic holds

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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 Socratic graph.