Evidence map›Paper›PMID 40103208›Full record

ArticleClinical chemistry and laboratory medicine2025

Reliable detection of sex chromosome abnormalities by quantitative fluorescence polymerase chain reaction.

Camilla Mains Balle, Dorte L Lildballe, Ivonne Bedei, Ruth Luschka, Anne Skakkebæk, Simon Chang, Zeynep Agirman, Jan Keller, Axel Weber, Ramón E Schäfer and 2 more

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Article in Clinical chemistry and laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Approach to the Patient With Turner Syndrome.The Journal of clinical endocrinology and metabolism · 2025
    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

12 authors.

Camilla Mains BalleDepartment of Endocrinology, 11297 Aarhus University Hospital , Aarhus N, Denmark.ORCID 0000-0001-7890-8201
Dorte L LildballeDepartment of Clinical Medicine, Aarhus University, Aarhus C, Denmark.ORCID 0000-0003-0223-1673
Ivonne BedeiDepartment of Obstetrics and Gynecology, Division of Prenatal Medicine and Fetal Therapy, Justus Liebig University Giessen, Giessen, Germany.ORCID 0000-0002-7688-5357
Ruth LuschkaDepartment of Pediatric Surgery and Urology, Children and Youth Hospital Auf Der Bult, Hannover, Germany.
Anne SkakkebækDepartment of Clinical Medicine, Aarhus University, Aarhus C, Denmark.ORCID 0000-0001-9178-4901
Simon ChangDepartment of Endocrinology, 11297 Aarhus University Hospital , Aarhus N, Denmark.ORCID 0000-0003-1130-3659
Zeynep AgirmanEluthia GmbH, Giessen, Germany.
Jan KellerEluthia GmbH, Giessen, Germany.
Axel WeberCenter for Human Genetics, University of Marburg, Marburg, Germany.
Ramón E SchäferEluthia GmbH, Giessen, Germany.
Johannes Becker-FollmannEluthia GmbH, Giessen, Germany.
Claus H GravholtDepartment of Endocrinology, 11297 Aarhus University Hospital , Aarhus N, Denmark.ORCID 0000-0001-5924-1720

Funding

Danish Diabetes and Endocrine Academy NNF22SA0079901
6 · The paper itself

Abstract

objectivesMany patients with sex chromosome abnormalities (SCAs) are diagnosed late in life or remain undiagnosed, leading to delayed or inadequate medical intervention and care. This study aimed to develop a reliable, rapid and cost-effective test for identifying SCAs using a blood sample - an essential step toward establishing a neonatal screening program.

methodsA total of 360 blood samples (180 SCA patients, and 180 controls) were obtained from four cross-sectional studies of adult patients with SCAs and age-matched controls. Informed consent was collected, and all procedures followed the Declaration of Helsinki. Multiplex quantitative fluorescence polymerase chain reaction (QF-PCR) utilizing short tandem repeat (STR) and X-linked segmental duplication (SD) markers was performed. Results were analyzed using an automated algorithm. Deviant results were manually reviewed to differentiate errors in the PCR process from those in automated data analysis.

resultsFollowing automated data analysis of QF-PCR results, the method accurately identified 174 SCA patients (sensitivity: 96.7 %) and 171 controls (specificity: 95.0 %). Mosaic karyotypes were particularly challenging to diagnose. Manual reanalysis of the QF-PCR results corrected all false positives, achieving 100 % specificity.

conclusionsThis method is promising for reliable SCA detection in blood samples, offering cost-effectiveness and scalability. The specificity following automated data analysis was not satisfactory. The underlying PCR technique, however, demonstrated 100 % specificity, indicating that refining the automated analysis algorithm would significantly reduce false positive results. With further refinements, we believe this test would be highly suitable for further evaluation in a newborn screening setting.

Indexed as

Polymerase Chain ReactionSex Chromosome AberrationsAdultCross-Sectional StudiesFemaleFluorescenceHumansMaleMicrosatellite RepeatsMiddle Agedpostnatal diagnosisquantitative fluorescence polymerase chain reactionsex chromosome anomalies

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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.