Evidence map›Paper›PMID 40895375›Full record

ArticlePCN reports : psychiatry and clinical neurosciences2025

New-onset Kleine-Levin syndrome following COVID-19 infection: A case report.

Daisuke Yoshioka, Takehiko Yamanashi, Masaaki Iwata

Abstract read
In one paragraph

Article in PCN reports : psychiatry and clinical neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. New-onset Kleine-Levin syndrome following COVID-19 infection: A case report.PCN reports : psychiatry and clinical neurosciences · 2025
    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

3 authors.

Daisuke YoshiokaDivision of Neuropsychiatry, Faculty of Medicine Tottori University Yonago Japan.ORCID https://orcid.org/0000-0002-9775-2369
Takehiko YamanashiDivision of Neuropsychiatry, Faculty of Medicine Tottori University Yonago Japan.
Masaaki IwataDivision of Neuropsychiatry, Faculty of Medicine Tottori University Yonago Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kleine-Levin syndrome (KLS) is a rare sleep disorder marked by recurrent episodes of severe hypersomnolence with accompanying cognitive, behavioral, or mood disturbances. Infections are frequently reported before symptom onset and have been proposed as potential triggers, although a definitive causal relationship has not been established. Although relapses of KLS after COVID-19 infection have been described, only one possible case of new-onset KLS associated with COVID-19 has been reported, in which a definitive diagnosis was not established. Case Presentation: We describe a 17-year-old male who developed KLS following a confirmed COVID-19 infection. After his clinical recovery, he began experiencing hypersomnolent episodes every few months, each lasting approximately 2 weeks and accompanied by decreased motivation and appetite. As the illness progressed, he developed persistent nausea lasting several weeks before each hypersomnolent episode, suggesting the emergence of a prodromal phase. Treatment with lithium and adjunctive modafinil showed limited efficacy in preventing recurrence or reducing episode severity. Each complete cycle comprising prodromal, hypersomnolent, and recovery phases lasted over a month and significantly disrupted his academic and social functioning. Conclusion: This case represents the first diagnostically confirmed report of new-onset KLS following COVID-19 infection and suggests a possible autoimmune mechanism triggered by SARS-CoV-2. These findings emphasize the importance of comprehensive clinical assessment beyond objective test results and underscore the urgent need for effective treatment strategies tailored to the heterogeneous and disabling nature of KLS.

Indexed as

COVID‐19hypersomnolenceKleine–Levin syndromesleep disorder

Identifiers

PMID40895375
PMCPMC12396950

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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.