Evidence map›Paper›PMID 40982163›Full record

ArticleActa neurologica Belgica2026

Sleep abnormalities in patients with idiopathic intracranial hypertension: a cross-sectional study.

Vaishali Sharma, Sucharita Ray, Pramod Avti, Swapnajeet Sahoo, Aastha Takkar, Shiv Lal Soni, Kamalesh Chakravarty

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Article in Acta neurologica Belgica, 2026. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Vaishali SharmaNeurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Sucharita RayNeurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Pramod AvtiBiophysics, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Swapnajeet SahooPsychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Aastha TakkarNeurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Shiv Lal SoniAnaesthesia, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Kamalesh ChakravartyNeurology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. drkamalesh70@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic Intracranial Hypertension (IIH) has been associated with comorbid sleep disorders. Although emerging evidence suggests a link between IIH and sleep disorders, yet this association remains underexplored. This case -control study aims to evaluate the prevalence of sleep-related abnormalities in patients with IIH using validated screening and severity assessment tools.

methods120 newly diagnosed, drug naive IIH patients and 40 age and gender matched controls were enrolled. Baseline characteristics and clinical parameters were evaluated. Headache severity was assessed using MIDAS and HIT6 questionnaires. Sleep disturbances were assessed using the Pittsburg Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), restless leg syndrome (RLS) scale, Berlin Questionnaire, and STOP-BANG questionnaire. Statistical analysis was conducted using SPSS v27.

resultsThe mean age of patients was 34.92 (9.42) years. IIH cases were predominately female (85%). Cases had significantly higher BMI (85% were overweight and obese). Poor sleep quality (PSQI ≥ 5) was significantly more common in IIH patients (46.67%) than controls (15%) (p < 0.001). High OSA risk was also more prevalent in IIH patients based on Berlin and STOP-BANG scores (p = 0.013 and p = 0.044 respectively). Although rates of Daytime sleepiness, RLS and Insomnia were higher in the IIH group, these differences were not statistically significant.

conclusionPatients with IIH exhibit significantly higher rates of sleep disturbances, particularly poor sleep quality, and increased risk of OSA based on screening tools, which were also associated with higher BMI and psychiatric comorbidities. These findings underscore the importance of routine sleep screening in IIH patients.

Indexed as

Pseudotumor CerebriSleep Wake DisordersAdultCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRestless Legs SyndromeSleep QualitySurveys and QuestionnairesYoung AdultHeadacheIdiopathic intracranial hypertensionObesityObstructive sleep apneaSleep quality

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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.