Evidence map›Paper›PMID 36685675›Full record

ArticleSleep medicine: X2023

Clinical application of a previously validated pregnancy-specific screening tool for sleep apnea in a cohort with a high prevalence of obesity.

Sakshi Bajaj, A Lauren Rice, Payden White, Abigail M Wiedmer, Natalie M Jacobson, Nathan R Jones, Mihaela H Bazalakova, Kathleen M Antony

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep medicine: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
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 1 institution in 1 country.

Sakshi BajajDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, 1010 Mound Street, Madison, WI, USA.
A Lauren RiceDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, 1010 Mound Street, Madison, WI, USA.
Payden WhiteDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, 1010 Mound Street, Madison, WI, USA.
Abigail M WiedmerDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, 1010 Mound Street, Madison, WI, USA.
Natalie M JacobsonDepartment of Biology, University of Wisconsin-Madison, Madison, WI, USA.
Nathan R JonesUniversity of Wisconsin Survey Center, University of Wisconsin-Madison, Madison, WI, USA.
Mihaela H BazalakovaDepartment of Neurology, Wisconsin Sleep, Wisconsin Institute for Sleep and Consciousness, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA.
Kathleen M AntonyDepartment of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, 1010 Mound Street, Madison, WI, USA.
University of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this project was to determine the positive predictive value of existing obstructive sleep apnea (OSA) screening tools in clinical use, in a real-world clinical population of gravidae, and to explore the development of a new questionnaire for screening for OSA during pregnancy. Methods: Pregnant people were administered sleep screening questionnaires as part of routine clinical care. These included Facco's four variable OSA screening tool, the STOP-BANG, and the Epworth Sleepiness Scale. Those who screened positive were referred for diagnostic sleep testing, typically with a type III home monitoring device. Here we analyzed the screening responses used by those who completed diagnostic testing to determine the positive predictive value of the existing tools. Results: 159 pregnant people completed diagnostic OSA testing and were included in this analysis. The positive predictive value of Facco's four variable sleep screening tool was 74.3%, STOP-BANG was 75.3%, and the Epworth Sleepiness Scale was 69.8%. Our sample size was insufficient to create a new screening tool. Conclusions: Here we calculated the positive predictive value of Facco's 4 variable screening tool for screening for OSA in pregnancy in a real-world pregnant population. While we were not able to generate a new screening tool for screening for OSA during pregnancy, both STOP-BANG and Facco's four variable tool had positive predictive values over 70% in our population which was characterized by high BMI and advanced maternal age. Increased clinical use of the pregnancy-specific tool may be warranted.

Indexed as

ObesityPregnancyScreening toolsSleep apneaSleep apnea screening

Identifiers

PMID36685675
PMCPMC9845998
OpenAlexW4313706868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.