Evidence map›Paper›PMID 42596591›Full record

ArticleEpilepsia open2026

From first seizure to specific antiseizure medication in Dravet syndrome: Quantifying delays in the DS'coverED study.

Loucas Christodoulou, Maria Ballarà Petitbò, Sergio Aguilera Albesa, Simona Borroni, Perrine Hugon, Ratna Kumar, Tullio Messana, Pierre Meyer, Frédéric Villéga, Kerstin A Klotz

Abstract read
In one paragraph

Article in Epilepsia open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Loucas ChristodoulouDepartment of Paediatrics, Chelsea and Westminster NHS Foundation Trust, London, UK.ORCID https://orcid.org/0009-0002-6464-0683
Maria Ballarà PetitbòDepartment of Neuropaediatrics, Children's University Hospital Niño Jesús, Madrid, Spain.ORCID https://orcid.org/0000-0002-2507-3252
Sergio Aguilera AlbesaPaediatric Neurology Unit, Department of Paediatrics, Hospital Universitario de Navarra, Pamplona, Spain.ORCID https://orcid.org/0000-0003-3540-1448
Simona BorroniDravet Syndrome European Federation, Paris, France.ORCID https://orcid.org/0009-0009-3891-4004
Perrine HugonOrphan Disease Division (HQ), Biocodex, Gentilly, France.
Ratna KumarBirmingham Women's and Children's NHS Foundation Trust, Birmingham, UK.
Tullio MessanaIRCCS, Istituto Delle Scienze Neurologiche di Bologna, UOC Neuropsichitaria Dell'età Pediatrica, Member of the ERN EpiCare, Bologna, Italy.ORCID https://orcid.org/0000-0002-0822-6341
Pierre MeyerNeuropaediatric Unit, Teaching Hospital, University of Montpellier, PhyMedExp, CRNS, INSERM, Montpellier, France.ORCID https://orcid.org/0000-0001-5710-7376
Frédéric VillégaNeuropaediatric Unit, Teaching Hospital, University of Bordeaux, CIC-P 1401, CNRS UMR 5297, Bordeaux, France.ORCID https://orcid.org/0000-0002-5423-3171
Kerstin A KlotzDepartment of Paediatric Neurology, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-1601-5384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDravet syndrome (DS) is a rare early-onset developmental and epileptic encephalopathy with persistent delays between seizure onset and diagnosis. The DS'coverED study aimed to characterize current diagnostic timelines by examining each step and its duration, identifying residual barriers, and actionable solutions to optimize the diagnostic process within real-world clinical pathways.

methodsA steering committee-eight pediatric neurologists and one representative from the DS European Federation-developed a survey addressed to European pediatric neurologists experienced in DS management. Responders reported information on their medical practice and data on patients' diagnostic pathways from seizure onset to initiation of DS-specific antiseizure medications (ASMs).

resultsFifty-three physicians participated in the study. Analysis of 45 patient diagnostic pathways revealed marked heterogeneity in the DS diagnostic pathway. The median age at formal diagnosis was 15 months, with a median interval of 11 months between seizure onset and diagnosis. While half of the patients received a diagnosis within 1 year of seizure onset, 25% were diagnosed after 23 months of age. Diagnostic delays were primarily associated with late referral to expert centers and prolonged access or turnaround times for genetic testing. Although 45% of responders requested genetic testing promptly after initial consultation, more than half waited for confirmatory results before formally communicating the diagnosis. Initiation of DS-specific ASMs was inconsistent-occurring a median of 3 months after diagnosis but exceeding 9 months in 27% of cases-likely influenced by clinician caution, drug availability, and parental concerns regarding the treatment regimen. SIGNIFICANCE: DS'coverED seeks to fill a critical knowledge gap in the DS diagnostic pathway. The study provides healthcare professionals with benchmarks for refining their diagnostic practices and guiding clinical improvements-ongoing clinician education, better healthcare system coordination, and active caregiver engagement. PLAIN LANGUAGE SUMMARY: The diagnosis of Dravet syndrome, a rare and severe form of childhood epilepsy, is still often delayed after the first seizure. The DS'coverED European survey explored each step of the diagnostic journey and identified residual barriers and opportunities to optimize the time to diagnosis and access to Dravet syndrome-specific antiseizure medications. It provides physicians with actionable solutions that can help improve the diagnostic process of the condition.

Indexed as

antiseizure medicationsdiagnostic pathwayDravet syndromeearly diagnosisgenetic testingreferral pathway

Identifiers

PMID42596591
PMCPMC13473756

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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.