ArticleNeurology. Clinical practice2023
Sleep Assessment in Long COVID Clinics: A Necessary Tool for Effective Management.
Article in Neurology. Clinical practice, 2023. 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
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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.
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.
- Obstructive Sleep Apnea after COVID-19: An Observational Study.Life (Basel, Switzerland) · 2024Article
- Assessment of sleep quality and sleep disordered breathing among post-hospitalized patients with COVID-19.Frontiers in sleep · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As we adapt to SARS-CoV-2, it has become apparent that the acute illness is not the only threat from this virus. Long COVID has emerged as a potentially disabling condition with multiple varied symptoms. We propose that querying patients about their sleep may allow for the assessment of a sleep-related disorder that is amenable to treatment. In addition, hypersomnolence is a prominent feature and may mimic other organic hypersomnias; therefore, inquiring about COVID-19 infection in sleepy patients is suggested.
Identifiers
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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.