Evidence map›Paper›PMID 30927176›Full record

ArticleSleep & breathing = Schlaf & Atmung2019

Parsing the craniofacial phenotype: effect of weight change in an obstructive sleep apnoea population.

Kate Sutherland, Julia L Chapman, Elizabeth A Cayanan, Aimee B Lowth, Keith K H Wong, Brendon J Yee, Ronald R Grunstein, Nathaniel S Marshall, Peter A Cistulli

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Cheeks appearance as a novel predictor of obstructive sleep apnea: the CASA score study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024
    Observational
  3. 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

9 authors at 2 institutions in 1 country.

Kate SutherlandCharles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia. kate.sutherland@sydney.edu.au.ORCID http://orcid.org/0000-0001-6106-7303
Julia L ChapmanNeuroSleep NHMRC Centre or Research Excellence and Woolcock Institute of Medical Research, Glebe, Sydney, New South Wales, Australia.
Elizabeth A CayananFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Aimee B LowthCharles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.
Keith K H WongFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Brendon J YeeFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Ronald R GrunsteinFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Nathaniel S MarshallFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Peter A CistulliCharles Perkins Centre, University of Sydney, Camperdown, NSW, 2006, Australia.
The University of Sydney · AUWoolcock Institute of Medical Research · AU

Funding

National Health and Medical Research Council Australia 1004528
6 · The paper itself

Abstract

purposeCraniofacial structure is an important risk factor in the development of obstructive sleep apnoea. Most craniofacial imaging methods are not feasible for large-scale studies or the clinic. Craniofacial photography is a high-throughput technique for facial phenotyping; however, derived measurements are a composite of skeletal and soft tissue craniofacial information. Weight change is a paradigm to help determine which facial measurements most relate to regional soft tissue (i.e. change with weight) versus skeletal structure (i.e. stable with weight changes). We aimed to assess the association between weight change and changes in key facial measurements from facial photography.

methodsCalibrated frontal and profile photographs were taken of participants in weight loss studies (N = 106). Univariate linear regression was used to assess whether weight change explained changes in facial dimensions.

resultsPatients lost 11.7 ± 10.8 kg body weight and 2.0 ± 2.0 cm of neck circumference. Weight changes influenced face width (r = 0.3, p < 0.001), mandibular width (r = 0.4, p < 0.001) and cervicomental angle (r = 0.3, p = 0.001). Facial angles, facial heights and mandibular length were not influenced by weight change.

conclusionsA weight loss paradigm suggests that face and mandibular width and cervicomental angle most strongly reflect regional adiposity. Facial angles and heights are insensitive to weight change and could be more representative of craniofacial skeletal structure. This study informs the interpretation of facial phenotype assessed by this craniofacial photographic method which can be applied to future studies of craniofacial phenotype in OSA.

Indexed as

CephalometryPhenotypeCraniofacial AbnormalitiesHumansObesityPhotographyRisk FactorsSleep Apnea, ObstructiveWeight LossCraniofacial photographyFacial phenotypeObesityObstructive sleep apnoeaWeight loss

Identifiers

PMID30927176
OpenAlexW2933735809

What OpenQuestion 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 OpenQuestion graph.