Evidence map›Paper›PMID 41480014›Full record

ArticlemedRxiv : the preprint server for health sciences2025

How many do we miss? - Evaluation of age at onset and family history as selection criteria for genetic testing in Parkinson's disease.

Alexander Balck, Eva-Juliane Vollstedt, Ana Westenberger, Lara M Lange, Joanne Trinh, Meike Kasten, Katja Lohmann, Norbert Brüggemann, Claudia Trenkwalder, Brit Mollenhauer and 9 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

19 authors.

Alexander BalckInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0003-3967-0282
Eva-Juliane VollstedtInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-6898-9201
Ana WestenbergerInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0001-8062-6959
Lara M LangeInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-7162-9821
Joanne TrinhInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.
Meike KastenUniversity of Lübeck, Lübeck, Germany.ORCID 0000-0003-1910-6035
Katja LohmannInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0002-5121-1460
Norbert BrüggemannInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0001-5969-6899
Claudia TrenkwalderParacelsus-Elena-Klinik, Kassel, Germany.ORCID 0000-0001-6407-1199
Brit MollenhauerParacelsus-Elena-Klinik, Kassel, Germany.
Roy AlcalayGray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel; Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Department of Neurology, Columbia University Irving Medical Center, New York, USA.ORCID 0000-0002-5717-4875
Kamalini Ghosh GalvelisParkinson's Foundation, New York, USA.ORCID 0009-0000-4178-0777
James C BeckParkinson's Foundation, New York, USA.ORCID 0000-0002-4884-9893
Peter BauerCENTOGENE GmbH, Rostock, Germany.ORCID 0000-0001-9414-4555
Global Parkinson’s Genetics Program (GP2)
ROPAD Study Group
PDGENEration Study
Christine KleinInstitute of Neurogenetics, University of Lübeck, Lübeck, Germany.ORCID 0000-0003-2102-3431
Inke R KönigInstitut für Medizinische Biometrie und Statistik, University of Lübeck, Lübeck, Germany.ORCID 0000-0003-0504-6465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Current recommendations for genetic testing in Parkinson's disease (PD) prioritize groups of patients based on age at onset (AAO) and family history (FH). The increasing importance of identifying genetic PD for personalized counseling and potential gene-specific therapies calls for a data-driven evaluation of these recommendations. Objective: To estimate the diagnostic accuracy, specifically the sensitivity, specificity, and positive predictive value (PPV), of genetic testing in PD based on AAO and FH. Design Setting and Participants: We analyzed data from six cohorts within four independent datasets: ROPAD, PD GENEration, the MDSGene database, the Global Parkinson's Genetics Program (GP2), and two German observational studies. These datasets included 25,063 PD participants, of whom 6,295 carried pathogenic or likely pathogenic variants. ROPAD and PD GENEration, both prospective genetic screening studies, served as representative real-world cohorts. Main Outcomes and Measures: For each gene, we quantified the proportion of carriers by age bracket and familial vs. sporadic status. Receiver operating characteristic (ROC) curves, and area under the curve (AUC) values with 95% confidence intervals (CIs) were calculated for AAO and FH. PPVs were computed based on sensitivity, specificity, and prevalence. Results: An AAO threshold of ≤50 identified 32% (ROPAD), 23% (PD GENEration), 63% (MDSGene), and 30% (GP2) of genetic cases. ROC analyses based on AAO alone yielded AUCs of 0.59 (CI: 0.57-0.60, ROPAD), 0.58 (CI: 0.56-0.60, PD GENEration), 0.78 (CI: 0.75-0.80, MDSGene), and 0.54 (CI: 0.52-0.56, GP2), respectively. Combining AAO with FH increased AUCs to 0.60 (CI: 0.59-0.62), 0.60 (CI: 0.58-0.62), 0.83 (CI: 0.81-0.85), and 0.58 (CI: 0.56-0.60). FH improved AUCs for dominant genes such as Conclusions and Relevance: Current selection criteria (AAO ≤50) identify only a minority (23-32%) of variant carriers. Most carriers (68-77%) present with a later AAO and remain undetected. While AAO is moderately predictive in some cohorts, it insufficiently captures late-onset genetic forms, particularly

Indexed as

age at onsetfamily historyGBA1geneticsgenetic testingLRRK2PARK7Parkinson’s diseasePINK1PRKNSNCAVPS35

Identifiers

PMID41480014
PMCPMC12754704

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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.