Evidence map›Paper›PMID 39322380›Full record

ReviewHandbook of clinical neurology2024

Approaches to diagnosis for individuals with a suspected inherited white matter disorder.

Guy Helman, Jennifer L Orthmann-Murphy, Adeline Vanderver

Abstract readReview
In one paragraph

Review in Handbook of clinical neurology, 2024. 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

3 authors.

Guy HelmanDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Jennifer L Orthmann-MurphyDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Adeline VanderverDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, United States. Electronic address: vandervera@chop.edu.

Funding

Validation of the GMFC-MLDU54NS115052 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI Laura Ann Adang · 2019 to 2026
$14.3M
GLIA-CTN Genomic Expert Curation PanelU24NS131172 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI VANDERVER, ADELINE LUCIE · 2023 to 2025
$1.1M
NINDS NIH HHS U24 NS131172NINDS NIH HHS U54 NS115052
6 · The paper itself

Abstract

Leukodystrophies are heritable disorders with white matter abnormalities observed on central nervous system magnetic resonance imaging. Pediatric leukodystrophies have long been known for their classically high, "unsolved" rate. Indeed, these disorders provide a diagnostic dilemma for many clinicians as over 100 genetic disorders alone may present with white matter abnormalities, with this figure not taking into account the substantial number of infectious agents, toxicities, and acquired disorders that may affect the white matter of the brain. Achieving a diagnosis may be the single most important step in the clinical course of a leukodystrophy-affected individual, with important implications for care and quality of life. For certain disorders, prompt recognition can direct therapeutic intervention with significant implications and requires urgent recognition. In this review, we cover newborn screening efforts, standard-of-care testing methodologies, and next generation sequencing approaches that continue to change the landscape of leukodystrophy diagnosis. Early studies have shown that next generation sequencing approaches, particularly exome and now genome sequencing have proven to be powerful in helping resolve many cases that were refractory to a single gene or linkage analysis approach. In addition, other methods are required for cases that remain persistently unsolved after next generation sequencing methods have been used. In the past more than half of affected individuals never achieved an etiologic diagnosis, and when they did, the reported times to diagnosis were >5 years although molecular testing has allowed this to be reduced to closer to 16 months. For affected families, next generation sequencing technologies have finally provided a way to fill gaps in diagnosis.

Indexed as

LeukoencephalopathiesHumansInfant, NewbornMagnetic Resonance ImagingNeonatal ScreeningWhite MatterLeukodystrophyMRI pattern recognitionWhole genome sequencing

Identifiers

PMID39322380
PMCPMC12301652

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.