Evidence map›Paper›PMID 33739259›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2021

Sleep time and efficiency in patients undergoing laboratory-based polysomnography.

Elizabeth I Harrison, Robert H Roth, Jennifer M Lobo, Hyojung Kang, Jeongok Logan, Sanjay R Patel, Vishesh K Kapur, Younghoon Kwon

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

NCT06174558 unknown statusnot on this mapstarted 2024, after this paper: background citation

Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram

TypeobservationalSponsorRespiratory SpecialistsRan2024 to 2024Enrolled86ConditionsObstructive Sleep ApneaArmsSleep Tracking Devices
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  4. Sleep advances : a journal of the Sleep Research Society · 2026
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  17. Dyslipidemia prevalence in nonobese, nondiabetic patients with obstructive sleep apnea: does sex matter?Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  18. [Arousal characteristics in different OSAHS populations].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022
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  19. Article
  20. Article
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

8 authors at 3 institutions in 1 country.

Elizabeth I HarrisonDivision of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Robert H RothSchool of Medicine, University of Virginia, Charlottesville, Virginia.
Jennifer M LoboDepartment of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
Hyojung KangDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois.
Jeongok LoganDivision of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Sanjay R PatelDivision of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Vishesh K KapurDivision of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Younghoon KwonDivision of Child Neurology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Children's Hospital of Pittsburgh · USUniversity of Virginia · USUniversity of Illinois Urbana-Champaign · US

Funding

Pulse Transit Time and Blood Pressure Trends during Sleep as Novel Cardiovascular MarkersR21HL140432 · NHLBI · UNIVERSITY OF VIRGINIA · PI KWON, YOUNGHOON · 2017 to 2018
$297k
Cardiovascular implications of sleep characteristics using real-world objective sleep dataR21HL150502 · NHLBI · UNIVERSITY OF WASHINGTON · PI KWON, YOUNGHOON, SOHN, MIN-WOONG · 2020 to 2021
$261k
NHLBI NIH HHS R21 HL140432NHLBI NIH HHS R21 HL150502
6 · The paper itself

Abstract

STUDY

objectivesSleep quality in patients studied with laboratory-based polysomnography may differ from sleep quality in patients studied at home but remains clinically relevant and important to describe. We assessed objective sleep quality and explored factors associated with poor sleep in patients undergoing laboratory-based polysomnography.

methodsWe reviewed diagnostic polysomnography studies from a 10-year period at a single sleep center. Total sleep time (TST) and sleep efficiency (SE) were assessed as markers of sleep quality. Poor sleep was defined as TST ≤ 4 hours or SE ≤ 50%. Multivariable analysis was performed to determine associations between objective sleep quality as an outcome and multiple candidate predictors including age, sex, race, body mass index, comorbidities, severity of obstructive sleep apnea, and central nervous system medications.

resultsAmong 4957 patients (age 53 ± 15 years), average TST and median SE were 5.8 hours and 79%, respectively. There were 556 (11%) and 406 (8%) patients who had poor sleep based on TST and SE, respectively. In multivariable analysis, those who were older (per 10 years: 1.48 [1.34, 1.63]), male (1.38 [1.14,1.68]), and had severe obstructive sleep apnea (1.76 [1.28, 2.43]) were more likely to have short sleep. Antidepressant use was associated with lower odds of short sleep (0.77 [0.59,1.00]). Older age (per 10 years: 1.48 [1.34, 1.62]), male sex (1.34 [1.07,1.68]), and severe obstructive sleep apnea (2.16 [1.47, 3.21]) were associated with higher odds of poor SE.

conclusionsWe describe TST and SE from a single sleep center cohort. Multiple demographic characteristics were associated with poor objective sleep in patients during laboratory-based polysomnography. CITATION: Harrison EI, Roth RH, Lobo JM, et al. Sleep time and efficiency in patients undergoing laboratory-based polysomnography.

Indexed as

LaboratoriesSleep Apnea, ObstructiveAdultAgedHumansMaleMiddle AgedPolysomnographySleepSleep Qualitypolysomnographysleepsleep quality

Identifiers

PMID33739259
PMCPMC8656908
OpenAlexW3136620600

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.