ArticleChest2017
Digital Morphometrics: A New Upper Airway Phenotyping Paradigm in OSA.
Article in Chest, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed, 46 citations in OpenAlex.
- Assessing the effectiveness of the Friedman classification and its components in predicting obstructive sleep apnea: a Brazilian cross-sectional study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Association of Skeletal Facial Pattern With Treatment Response of Obstructive Sleep Apnoea Using Mandibular Advancement Devices - A Cluster Analysis.Journal of oral rehabilitation · 2025Article
- The Obstructive Sleep Apnea Physical Exam: A Systematic Review and Meta-Analysis.Laryngoscope investigative otolaryngology · 2025Review
- Morphometric measurements of intraoral anatomy in children with Beckwith-Wiedemann syndrome: a novel approach.Orphanet journal of rare diseases · 2024Article
- The relationship of tongue fat content and efficacy of uvulopalatopharyngoplasty in Chinese patients with obstructive sleep apnea.BMC surgery · 2023Article
- Clinical Characteristics Combined with Craniofacial Photographic Analysis in Children with Obstructive Sleep Apnea.Nature and science of sleep · 2023Article
- Tongue size matters: revisiting the Mallampati classification system in patients with obstructive sleep apnea.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023Article
- Geometric morphometrics and machine learning from three-dimensional facial scans for difficult mask ventilation prediction.Frontiers in medicine · 2023Article
- Article
- Demographic, clinical, and biomarker predictors of apnea-hypopnea index from polysomnography in Midwestern sleep clinic patients.Sleep & breathing = Schlaf & Atmung · 2021Article
- The predictive value of photogrammetry for obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Observational
- Simple and Unbiased OSA Prescreening: Introduction of a New Morphologic OSA Prediction Score.Nature and science of sleep · 2021Article
- Article
- Utility of the modified Mallampati grade and Friedman tongue position in the assessment of obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020Review
- A Screening Algorithm for Obstructive Sleep Apnea in Pregnancy.Annals of the American Thoracic Society · 2019Article
- More Than the Sum of the Respiratory Events: Personalized Medicine Approaches for Obstructive Sleep Apnea.American journal of respiratory and critical care medicine · 2019Review
- Anthropometric Measures and Prediction of Maternal Sleep-Disordered Breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- A Global Comparison of Anatomic Risk Factors and Their Relationship to Obstructive Sleep Apnea Severity in Clinical Samples.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- Craniofacial Phenotyping in Chinese and Caucasian Patients With Sleep Apnea: Influence of Ethnicity and Sex.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
- From CPAP to tailored therapy for obstructive sleep Apnoea.Multidisciplinary respiratory medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOSA is associated with changes in pharyngeal anatomy. The goal of this study was to objectively and reproducibly quantify pharyngeal anatomy by using digital morphometrics based on a laser ruler and to assess differences between subjects with OSA and control subjects and associations with the apnea-hypopnea index (AHI). To the best of our knowledge, this study is the first to use digital morphometrics to quantify intraoral risk factors for OSA.
methodsDigital photographs were obtained by using an intraoral laser ruler and digital camera in 318 control subjects (mean AHI, 4.2 events/hour) and 542 subjects with OSA (mean AHI, 39.2 events/hour).
resultsThe digital morphometric paradigm was validated and reproducible over time and camera distances. A larger modified Mallampati score and having a nonvisible airway were associated with a higher AHI, both unadjusted (P < .001) and controlling for age, sex, race, and BMI (P = .015 and P = .018, respectively). Measures of tongue size were larger in subjects with OSA vs control subjects in unadjusted models and controlling for age, sex, and race but nonsignificant controlling for BMI; similar results were observed with AHI severity. Multivariate regression suggests photography-based variables capture independent associations with OSA.
conclusionsMeasures of tongue size, airway visibility, and Mallampati scores were associated with increased OSA risk and severity. This study shows that digital morphometrics is an accurate, high-throughput, and noninvasive technique to identify anatomic OSA risk factors. Morphometrics may also provide a more reproducible and standardized measurement of the Mallampati score. Digital morphometrics represent an efficient and cost-effective method of examining intraoral crowding and tongue size when examining large populations, genetics, or screening for OSA.
Indexed as
Identifiers
What OpenQuestion holds
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.