Evidence map›Paper›PMID 41158808›Full record

ArticleClinical case reports2025

Comorbidity Between Recurrent Major Depressive Disorder and CADASIL: A Case Report With a Brief Review of Published Cases.

Yi-Meng Wang, Hong-Ye Yu, Ling Zhang, Chen Hu

Abstract read
In one paragraph

Article in Clinical case reports, 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

4 authors.

Yi-Meng WangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital Capital Medical University Beijing China.ORCID https://orcid.org/0009-0004-0078-0737
Hong-Ye YuThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital Capital Medical University Beijing China.
Ling ZhangThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital Capital Medical University Beijing China.
Chen HuThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital Capital Medical University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) may underlie mood disorders by directly affecting cerebral vascular function and neural networks, thereby contributing to or worsening mood symptoms. The co-occurrence of CADASIL and major depressive disorder (MDD) in clinical practice complicates both diagnosis and treatment. We report a case of a 42-year-old woman with an 11-year history of recurrent MDD who presented with atypical depressive symptoms that required hospital admission. Subsequent assessment during hospitalization revealed persistent headaches and abnormal findings on cranial MRI. Given her familial predisposition and previous genetic analysis, a diagnosis of CADASIL was established. After a 3-week course of psychiatric intervention, notable amelioration was observed in both affective and neurological manifestations. The patient demonstrated limited tolerance to psychotropic medications during the treatment. Timely intervention can improve prognosis; however, emotional symptoms may persist, requiring continuous monitoring and management. We also review previously reported CADASIL cases with psychiatric manifestations to provide context.

Indexed as

atypical depressive symptomsCADASILmajor depressive disorderNOTCH3 genewhite matter lesions

Identifiers

PMID41158808
PMCPMC12554950

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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.