ReviewSleep2025
Symptom subtypes of obstructive sleep apnea 10 years later: past, present, and future.
Review in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Sleepiness and attention in sleep-clinic patients and their associations with apnea severity and treatment.Sleep · 2026Article
- PSQI-based severity-ordered sleep-quality strata and associated clinical and psychosocial factors among adults with untreated obstructive sleep apnea: a multicenter cross-sectional study.BMC public health · 2026Article
- Large language model derived regular expressions for sleep phenotyping from electronic health record: a feasibility study.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Research Priorities for Translating Endophenotyping of Adult Obstructive Sleep Apnea to the Clinic: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
As first described in Iceland over 10 years ago and since replicated across thousands of diverse subjects from community-based and clinical cohorts throughout the world, there exist different subtypes of obstructive sleep apnea (OSA) characterized by patient-reported symptoms. Subtypes defined by excessive sleepiness, disturbed sleep, and minimal symptoms have been consistently identified across these various cohorts and are often joined by a moderately sleepy subtype. Identifying symptom subtypes using cluster analysis provided a data-driven approach to formalize the concept of symptomatic differences among patients with OSA that has been discussed for decades in prior research and has important implications for future research and clinical applications. Current evidence favors excessive sleepiness as a marker of increased cardiovascular risk related to OSA, but there remains an opportunity for more research on non-cardiovascular endpoints. The framework of symptom subtypes can inform future randomized clinical trials, which are challenging in patients with excessive sleepiness, but both feasible and clinically important in the other subtypes. Symptom heterogeneity should also be used to move beyond a one-size-fits-all approach to treatment recommendations, including consideration of whether patients with minimally symptomatic OSA require or receive any benefits from therapy. Studies to identify the underlying mechanisms of different symptom presentations, demonstrate short-term reliability, determine the minimum number of questions required for accurate identification, and implement a tool for assigning subtypes in routine clinical practice are needed to realize the full potential of symptom subtypes to inform more personalized medicine approaches.
Indexed as
Identifiers
What OpenQuestion holds
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.