Evidence map›Paper›PMID 42689243›Full record

ArticleNeurology. Genetics2026

Multiple Sclerosis Misdiagnosis in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: A Genotype-Misphenotype Study.

Dinith D Mendis, Sai Krishna Vallamchetla, Iris Vanessa Marin Collazo, Sukhwinder Johnny Singh Sandhu, James F Meschia

Abstract read
In one paragraph

Article in Neurology. Genetics, 2026. 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
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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

5 authors.

Dinith D MendisNeurology, Mayo Clinic, FL; and.ORCID https://orcid.org/0009-0004-4910-6700
Sai Krishna VallamchetlaNeurology, Mayo Clinic, FL; and.ORCID https://orcid.org/0009-0009-4564-6503
Iris Vanessa Marin CollazoNeurology, Mayo Clinic, FL; and.ORCID https://orcid.org/0000-0002-0858-3787
Sukhwinder Johnny Singh SandhuNeuroradiology, Mayo Clinic, FL.ORCID https://orcid.org/0000-0003-4019-3102
James F MeschiaNeurology, Mayo Clinic, FL; and.ORCID https://orcid.org/0000-0002-4475-8142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy (CADASIL), caused by pathogenic Methods: We conducted a retrospective cohort study to compare genetically or histopathologically confirmed CADASIL patients with and without a prior MS misdiagnosis. Patients were classified into high-risk, medium-risk, low-risk, or unknown-risk by the location of their Results: Of 107 CADASIL patients (mean age 57.5 ± 13.4 years), 11 (10.2%) were misdiagnosed with MS. In prespecified adjusted logistic regression models, absence of prior stroke (adjusted odds ratio [OR] 4.60; 95% CI 1.02-20.68), Asian race (adjusted OR 20.74; 95% CI 3.21-134.18), asymmetric external capsule white matter hyperintensity (WMH) (adjusted OR 53.34; 95% CI 4.06-701.08), and absence of infratentorial WMH (adjusted OR 12.48; 95% CI 1.90-82.01) were independently associated with misdiagnosis. The median time to diagnostic correction was 14.45 months (range 1.18-138.07), during which 5 patients (45.5%) received unnecessary MS therapies and 2 experienced documented adverse events. Medium-risk EGFr variants were more frequent among misdiagnosed patients in unadjusted comparisons but were not independently associated after adjustment. Discussion: In this multicenter tertiary-care cohort, approximately 1 in 10 patients with CADASIL had been misdiagnosed as MS, an error associated with Asian race, absence of a stroke history, and atypical neuroimaging patterns leading to worse functional outcomes and inappropriate treatments. A high index of suspicion for CADASIL is critical in patients presenting with atypical or late-onset demyelinating disease. Larger studies are needed to understand the role of medium-risk variants in misdiagnosis.

Identifiers

PMID42689243
PMCPMC13537471

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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.