Evidence map›Paper›PMID 32128106›Full record

ArticleTherapeutic advances in endocrinology and metabolism2020

The relationship between obstructive sleep apnoea and quality of life in women with polycystic ovary syndrome: a cross-sectional study.

Hassan Kahal, Abd A Tahrani, Ioannis Kyrou, Georgios K Dimitriadis, Peter K Kimani, Thomas M Barber, Matthew Nicholls, Asad Ali, Martin O Weickert, Harpal S Randeva

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Therapeutic advances in endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03065322 (The Impact of Obstructive Sleep Apnoea in Women With Polycystic Ovary Syndrome), which is not on this map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
1.1field-weighted citation impact, top 24% 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.

NCT03065322 completednot on this map

The Impact of Obstructive Sleep Apnoea in Women With Polycystic Ovary Syndrome: A Cross-sectional Study

TypeobservationalSponsorUniversity Hospitals Coventry and Warwickshire NHS TrustRan2017 to 2019Enrolled38ConditionsPolycystic Ovary Syndrome, Obstructive Sleep ApneaArmsTo assess risk of OSA
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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 7 institutions in 1 country.

Hassan KahalDivision of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, UK.ORCID https://orcid.org/0000-0001-6258-1814
Abd A TahraniInstitute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Ioannis KyrouDivision of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, UK.
Georgios K DimitriadisDepartment of Endocrinology, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK.
Peter K KimaniStatistics and Epidemiology, Warwick Medical School, University of Warwick, Coventry, UK.
Thomas M BarberWarwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.ORCID https://orcid.org/0000-0003-0689-9195
Matthew NichollsInstitute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Asad AliDepartment of Respiratory Medicine, University Hospital Coventry and Warwickshire NHS Trust, Coventry, UK.
Martin O WeickertDivision of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, UK.
Harpal S RandevaWarwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM) and Human Metabolism Research Unit (HMRU), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, CV2 2DX, UK.
University Hospitals Coventry and Warwickshire NHS Trust · GBAston University · GBKing's College Hospital NHS Foundation Trust · GBUniversity Hospital Coventry · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnoea (OSA) and polycystic ovary syndrome (PCOS) are associated with significant comorbidities and commonly coexist. The primary aim of this study was to examine the relationship between OSA and quality of life (QoL) in women with PCOS.

methodsWe conducted an observational cross-sectional study. PCOS was diagnosed according to the Rotterdam criteria. Women with increased risk of OSA, based on the Berlin questionnaire or the Epworth Sleepiness Scale (ESS), had home-based polysomnography performed (ALICE PDx). Participants were divided into two groups: (a) PCOS only: women with normal ESS and low-risk Berlin questionnaire (no sleep studies performed), or women with normal sleep studies [oxygen desaturation index (ODI) < 5 events/hour]; and (b) PCOS+OSA: women with PCOS and OSA ODI ⩾ 5. QoL was assessed using the World Health Organization QoL questionnaire (WHOQOL-BREF) and the PCOS health-related quality of life questionnaire (PCOSQ).

resultsA total of 39 women were included; age (mean ± SD) was 32.2 ± 8.9 years, weight 92.5 ± 23.7 kg and body mass index (BMI) 34.1 ± 7.9 kg/m

conclusionsOSA is highly prevalent and is associated with impaired QoL and worse metabolic profile in women with PCOS. Interventional studies are needed to examine the impact of OSA in women with PCOS. CLINICALTRIALSGOV IDENTIFIER: NCT03065322.

Indexed as

obesityobstructive sleep apnoeapolycystic ovary syndromequality of life

Identifiers

PMID32128106
PMCPMC7036513
OpenAlexW3008881341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.