ArticleJournal of sleep research2026
Changes in Self-Reported Excessive Daytime Sleepiness Are Associated With 5-Year All-Cause Mortality Risk Among Veterans.
Article in Journal of sleep research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Changes in Self-Reported Excessive Daytime Sleepiness Are Associated With 5-Year All-Cause Mortality Risk Among Veterans.Journal of sleep research · 2026Article
- Association of Excessive Daytime Sleepiness With Long-Term Incident Dementia: The Role of β-Amyloid and White Matter Injury.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Excessive daytime sleepiness (EDS) is linked to adverse clinical outcomes. This study evaluated changes in a validated tool to assess EDS, the Epworth Sleepiness Scale (ESS) and mortality risk. This retrospective cohort study included Veterans receiving sleep-related services in the Department of Veterans Affairs (VA) from October 4, 1999 to August 18, 2018, with two qualifying ESS measures. ESS values were extracted from patient notes using a validated natural language processing (NLP) pipeline (96% accuracy). ESS scores were categorised as Normal (0-10) or Abnormal (11-24). Patients were grouped based on ESS changes: Normal-Normal, Normal-Abnormal, Abnormal-Abnormal and Abnormal-Normal. Cox proportional hazards models adjusted for time, age, sex, race and comorbid conditions assessed the risk of 5-year all-cause mortality. Among 17,967 qualifying Veterans (mean age: 56.3 (SD 13.5) years), 11.75% died within 5 years of the second ESS measure. At baseline, 9342 (52.0%) had EDS, for whom 2232 (12.4%) improved to normal by the second exam (Abnormal-Normal). The Normal-Abnormal group had a 25% higher adjusted all-cause mortality risk within 5 years (aHR: 1.25, 95% CI: 1.09, 1.44) compared to the Normal-Normal group, with progressively increasing risk after age 55. In contrast, neither persistent abnormal sleepiness (Abnormal-Abnormal) nor improvement from abnormal to normal (Abnormal-Normal) was associated with significantly different mortality risk compared to the Normal-Normal group. ESS can efficiently identify EDS, which may serve as a clinical marker for 5-year all-cause mortality risk, particularly among Veterans seeking VHA sleep services aged 55 and older.
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Registered trials
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.