Observational studyClinical genetics2026
Diagnostic Yield and Clinical Impact of a Small Genetic Panel for Kidney Disease: A Multicenter, Retrospective European Study.
Observational study in Clinical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Diagnostic Yield and Clinical Impact of a Small Genetic Panel for Kidney Disease: A Multicenter, Retrospective European Study.Clinical genetics · 2026Observational
Corrections and comments
- Erratum issued
Authors and funding
23 authors.
Funding
Abstract
Chronic kidney disease (CKD) has a genetic origin in 10% of patients. The most effective and cost-beneficial genetic testing methodology is debated. A multicenter, retrospective analysis of 692 patients with panel genetic testing (44 genes) evaluated the diagnostic yield, independent predictors of genetic diagnoses, and clinical impact. Diagnostic variants identified totaled 252, resulting in a 36% yield. The highest yields were associated with cystic disease (49%). No diagnostic variants were identified in unknown CKD. Independent clinical predictors of diagnosis were clinical presentation, family history, and early disease onset. Genetic diagnoses confirmed clinical suspicion in 70%, defined the diagnosis in 23%, and altered clinical diagnosis in 7%. Despite study limitations, a 44 gene panel seems to have a similar diagnostic yield as larger panels and whole-exome sequencing (WES) approaches. Patient selection based on independent predictors of genetic diagnosis may further increase diagnostic yield and cost-effectiveness, especially useful in cost-restricted contexts.
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