Evidence map›Paper›PMID 39966650›Full record

ArticleEuropean journal of human genetics : EJHG2025

Towards a patient-centred classification of genetic disease severity.

Mojca Cizek Sajko, Lovro Vidmar, Bernarda Prosenc, Brigita Grum, Gordana Njenjic, Borut Peterlin

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Insights in genetics: from molecular mechanisms to patient perspectives.European journal of human genetics : EJHG · 2025
    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

6 authors.

Mojca Cizek SajkoClinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Novo mesto, Slovenia.ORCID 0000-0001-8859-1199
Lovro VidmarClinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Novo mesto, Slovenia.
Bernarda ProsencClinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Novo mesto, Slovenia.
Brigita GrumClinical Department of Perinatology, Division of Gynecology and Obstetrics, University Medical Centre Ljubljana, Novo mesto, Slovenia.
Gordana NjenjicClinical Department of Perinatology, Division of Gynecology and Obstetrics, University Medical Centre Ljubljana, Novo mesto, Slovenia.
Borut PeterlinClinical Institute for Genomic Medicine, University Medical Centre Ljubljana, Novo mesto, Slovenia. borut.peterlin@guest.arnes.si.ORCID 0000-0001-7824-4978

Funding

The Slovenian Research and Innovation Agency (ARIS) P3-0326
6 · The paper itself

Abstract

The concept of disease severity is encountered in numerous clinical situations, especially with genetic disorders. However, there is still no standardized method for defining severity. This study aimed to establish a patient-centred approach for classifying genetic disease characteristics into severity groups, with a focus on the perspectives of expectant parents. Additionally, we conducted a comparative analysis between classifications based on expectant parents' perspectives and those based on healthcare professionals. A questionnaire was administered to 320 expectant women and their partners participating in prenatal classes. The survey gathered ratings for 28 disease characteristics, reflecting their perceived levels of severity. Using these ratings, we constructed two statistical models employing agglomerative hierarchical clustering. The disease characteristics that were most important to our cohort were a shortened lifespan, severe intellectual disability, and severe impaired mobility from childhood or adolescence onwards. Our three-tier expectant parent model revealed a strong association between the severity of disease characteristics and expectant parents' decisions regarding pregnancy termination. On average, 89% of parents would choose to terminate a pregnancy for Tier 1 characteristics, 55% for Tier 2, and 20% for Tier 3. We found a relatively good alignment of our model with the healthcare professional-based classification, with the primary difference being that expectant parents considered a shortened lifespan more important than intellectual disability, compared to professionals. Through this study, we have gained additional insight into the core factors that expectant parents consider essential when assessing the severity of a genetic disease.

Indexed as

Genetic Diseases, InbornSeverity of Illness IndexAdultFemaleHumansMaleMiddle AgedParentsPregnancy

Identifiers

PMID39966650
PMCPMC12583697

What OpenQuestion holds

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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.