Evidence map›Paper›PMID 38835737›Full record

ArticleMedizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V2023

Non-invasive prenatal testing: when results suggests maternal cancer.

Liesbeth Lenaerts, Miel Theunis, Frédéric Amant, Joris R Vermeesch

Abstract read
In one paragraph

Article in Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Cancer in pregnancy: FIGO Best practice advice and narrative review.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Review
  5. Review
  6. Liquid Biopsy: minimal-invasive analysis of somatic alterations.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
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

4 authors.

Liesbeth LenaertsCatholic University Leuven Department of Oncology, Laboratory of Gynecological Oncology Herestraat 49 - box 818 3000 Leuven Belgium.ORCID https://orcid.org/0000-0003-3565-2319
Miel TheunisCatholic University Leuven Centre of Human Genetics Herestraat 49 - box 818 3000 Leuven Belgium.ORCID https://orcid.org/0000-0001-5445-5156
Frédéric AmantCatholic University Leuven Department of Oncology, Laboratory of Gynecological Oncology Herestraat 49 - box 818 3000 Leuven Belgium.ORCID https://orcid.org/0000-0002-5452-4905
Joris R VermeeschCatholic University Leuven Centre of Human Genetics Herestraat 49 - box 818 3000 Leuven Belgium.ORCID https://orcid.org/0000-0002-3071-1191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is now well-established that non-invasive prenatal testing (NIPT), originally designed to screen cell-free DNA (cfDNA) in maternal blood for the presence of common fetal trisomies, can lead to incidental detection of occult maternal malignancies. Retrospective evaluations have demonstrated that the detection of multiple copy number alterations in cfDNA is particularly suggestive of an incipient tumor and that cancer detection rates not only depend on tumor biology but also on applied NIPT technologies and downstream diagnostic investigations. Since the identification of a maternal cancer in pregnancy has implications for both woman and the unborn child, prospective studies are needed to provide evidence on best clinical practices and on clinical utility in terms of patient outcomes.

Indexed as

Cell-free DNAincidental findingmaternal malignancynon-invasive prenatal testing

Identifiers

PMID38835737
PMCPMC11006267

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Registered trials

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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.