Evidence map›Paper›PMID 29991423›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018

Craniofacial Phenotyping in Chinese and Caucasian Patients With Sleep Apnea: Influence of Ethnicity and Sex.

Kate Sutherland, Richard W W Lee, Tat On Chan, Susanna Ng, David S Hui, Peter A Cistulli

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. 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
  10. Article
  11. Article
  12. International Consensus Statement on Obstructive Sleep Apnea.International forum of allergy & rhinology · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Sleep apnea and recurrent heart failure hospitalizations after coronary artery bypass grafting.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Article
  17. Article
  18. Article
  19. Predicting sleep apnea from three-dimensional face photography.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    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

6 authors at 2 institutions in 2 countries.

Kate SutherlandDepartment of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, Australia.
Richard W W LeeDepartment of Respiratory Medicine, Gosford Hospital, Gosford and School of Medicine and Public Health, University of Newcastle, Newcastle, Australia.
Tat On ChanDivision of Respiratory Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong.
Susanna NgDivision of Respiratory Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong.
David S HuiDivision of Respiratory Medicine, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong.
Peter A CistulliDepartment of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, Australia.
Chinese University of Hong Kong · HKThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesCraniofacial abnormalities are a risk factor for obstructive sleep apnea (OSA). We have previously shown that phenotypic information derived from craniofacial photographs predict OSA in sleep clinic populations. However, there are likely ethnic and sex differences in craniofacial phenotypes related to OSA. We aimed to assess the use of craniofacial photography to identify interactions between OSA, ethnicity, and sex in craniofacial phenotype.

methodsFrontal and profile craniofacial photographs were analyzed from two sleep clinic populations of different ethnicity (Hong Kong Chinese, Australian Caucasians). OSA was defined as apnea-hypopnea index (AHI) > 10 events/h. Ten craniofacial measurements (three angles relating to jaw position and seven ratios describing proportions of the face) were examined for interactions between OSA status and sex or ethnicity) using factorial analysis of variance.

resultsA total of 363 subjects (25% female) were included (n = 200 Chinese, n = 163 Caucasian), of which 33% were controls. There were two-way interactions for OSA with both sex (mandibular plane angle [

conclusionsWe provide evidence of ethnic and sex differences in facial phenotype related to OSA. Furthermore, we demonstrate that craniofacial photography can be used as a phenotypic tool to assess these differences and allow investigation of OSA phenotypes in large samples. This has relevance to personalizing OSA recognition strategies across different populations.

Indexed as

PhenotypeAsian PeopleAustraliaCephalometryFaceFemaleHong KongHumansMaleMiddle AgedPhotographyPolysomnographyRisk FactorsSleep Apnea, ObstructiveWhite Peoplecraniofacialethnicityfacial phenotypeobstructive sleep apneaphotogrammetrysex

Identifiers

PMID29991423
PMCPMC6040806
OpenAlexW2882999543

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.