Evidence map›Paper›PMID 40410895›Full record

ArticleOrphanet journal of rare diseases2025

Healthcare utilization and disease burden in children with metachromatic leukodystrophy in Germany.

Christiane Kehrer, Andrea Bevot, Pascal Martin, Christa Raabe, Saskia Gregor, Ingeborg Krägeloh-Mann, Samuel Groeschel

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 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. 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

7 authors.

Christiane KehrerDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany. christiane.kehrer@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0002-6313-1839
Andrea BevotDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
Pascal MartinDepartment of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, 72076, Tübingen, Germany.
Christa RaabeDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
Saskia GregorDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
Ingeborg Krägeloh-MannDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.
Samuel GroeschelDepartment of Paediatric Neurology and Developmental Medicine, University Children'S Hospital, Hoppe-Seyler-Straße 1, 72076, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetachromatic leukodystrophy (MLD) is a life-limiting neurodegenerative disease due to pathogenic variants in the ARSA gene. Patients experience severe neurological symptoms, developmental regression, and early death. Aim of the study was to analyze disease burden and healthcare utilization in different stages of the disease in children with late infantile and juvenile MLD in Germany.

methodsOut of a nationwide total cohort study (TC) (n = 83), we undertook telephone interviews in a representative follow-up cohort (FC) defined by advanced disease stages (n = 19). The FC allowed detailed long-term data of the disease in addition to cross-sectional data of the TC.

resultsNearly all patients showed spasticity, truncal hypotonia and dysphagia, and about half of the patients developed epilepsy. Most children required special education; none finished regular school. Analysis of the FC showed that neuronal intestinal burden was extensive, including obstipation (57%), micturition problems (47%), and tube feeding (63%). Gallbladder polyposis was seen in 52%. General well-being did not strongly correlate with motor function, whereas pain was associated with reduced well-being. Baclofen, Omeprazole, Vigabatrin and Polyethyleneglycol were the most frequently used drugs. Patients took up to 15 different drugs daily. Altogether, 127 hospitalisations (485 treatment days) were registered in the FC (median age 9 years, median one inpatient stay per patient per year). Diagnostic procedures were main reasons for hospitalization (29 hospitalizations, 128 treatment days), and accounted for the main burden for families (68%). The median use of 15 different devices (maximum 29) throughout life illustrated a high burden of the disease. During disease course, there was a change from more "active" devices (e.g., walker) to more "passive" devices (e.g., form seat). Physical therapy was the most relevant therapy in advanced disease stages (100%), while occupational therapy or speech therapy primarily were used in early disease stages. State welfare benefits, home- and palliative care were used broadly.

conclusionDiagnostic and treatment routine pathways and sociomedical support in MLD require extensive resources. We provide detailed cross-sectional and long-term data of MLD-associated disease burden in different stages of disease. This data may serve as a reference when analyzing disease- and healthcare burden also after gene-/stem cell-therapy.

Indexed as

Leukodystrophy, MetachromaticPatient Acceptance of Health CareAdolescentChildChild, PreschoolCohort StudiesCost of IllnessCross-Sectional StudiesFemaleGermanyHumansInfantMaleCaregivers’ interviewsDiagnostic pathwayDisease burdenHealthcare utilizationMetachromatic leukodystrophyNeurodegenerative diseaseSociomedical aspects

Identifiers

PMID40410895
PMCPMC12100800

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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.