Evidence map›Paper›PMID 36106591›Full record

SynthesisJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2023

Association of alternative polysomnographic features with patient outcomes in obstructive sleep apnea: a systematic review.

Mohammadreza Hajipour, Brett Baumann, Ali Azarbarzin, A J Hirsch Allen, Yu Liu, Sidney Fels, Sebastian Goodfellow, Amrit Singh, Rachel Jen, Najib T Ayas

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Sleep apnea physiological burdens and markers of white matter injury: the Multi-Ethnic Study of Atherosclerosis.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
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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

10 authors at 3 institutions in 3 countries.

Mohammadreza HajipourDepartment of Experimental Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Brett BaumannDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Ali AzarbarzinDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts.
A J Hirsch AllenDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Yu LiuDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Sidney FelsDepartment of Electrical and Computer Engineering, The University of British Columbia, Vancouver, British Columbia, Canada.
Sebastian GoodfellowDepartment of Critical Care Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
Amrit SinghDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Rachel JenDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Najib T AyasDepartment of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
University of British Columbia · CAHarvard University · USHospital for Sick Children · CA

Funding

CIHR
6 · The paper itself

Abstract

STUDY

objectivesPolysomnograms (PSGs) collect a plethora of physiologic signals across the night. However, few of these PSG data are incorporated into standard reports, and hence, ultimately, under-utilized in clinical decision making. Recently, there has been substantial interest regarding novel alternative PSG metrics that may help to predict obstructive sleep apnea (OSA)-related outcomes better than standard PSG metrics such as the apnea-hypopnea index. We systematically review the recent literature for studies that examined the use of alternative PSG metrics in the context of OSA and their association with health outcomes.

methodsWe systematically searched EMBASE, MEDLINE, and the Cochrane Database of Systematic Reviews for studies published between 2000 and 2022 for those that reported alternative metrics derived from PSG in adults and related them to OSA-related outcomes.

resultsOf the 186 initial studies identified by the original search, data from 31 studies were ultimately included in the final analysis. Numerous metrics were identified that were significantly related to a broad range of outcomes. We categorized the outcomes into 2 main subgroups: (1) cardiovascular/metabolic outcomes and mortality and (2) cognitive function- and vigilance-related outcomes. Four general categories of alternative metrics were identified based on signals analyzed: autonomic/hemodynamic metrics, electroencephalographic metrics, oximetric metrics, and respiratory event-related metrics.

conclusionsWe have summarized the current landscape of literature for alternative PSG metrics relating to risk prediction in OSA. Although promising, further prospective observational studies are needed to verify findings from other cohorts, and to assess the clinical utility of these metrics. CITATION: Hajipour M, Baumann B, Azarbarzin A, et al. Association of alternative polysomnographic features with patient outcomes in obstructive sleep apnea: a systematic review.

Indexed as

Sleep Apnea, ObstructiveAdultHumansOximetryPolysomnographyProspective Studiesalternative metricsapnea-hypopnea indexoutcomespolysomnogramsleep apnea

Identifiers

PMID36106591
PMCPMC9892740
OpenAlexW4295902326

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.