Evidence map›Paper›PMID 35796491›Full record

Observational studyJournal of orthodontics2022

Applying an automated method of classifying lip morphological traits.

Kristian James Michael Davies, Stephen Richmond, Renata Jorge Medeiros-Mirra, Hawraa Hassan Abbas, Caryl Eleri Wilson-Nagrani, Megan Gael Davis, Alexei Zhurov

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of orthodontics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Kristian James Michael DaviesDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.ORCID 0000-0001-8780-3735
Stephen RichmondDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Renata Jorge Medeiros-MirraDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Hawraa Hassan AbbasDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Caryl Eleri Wilson-NagraniDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Megan Gael DavisDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Alexei ZhurovDepartment of Orthodontics, School of Dentistry, Cardiff University, Cardiff, UK.
Cardiff University · GB

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Wellcome Trust
6 · The paper itself

Abstract

objectiveTo apply an automated computerised method to categorise and determine the prevalence of different types of lip traits, and to explore associations between lip traits and sex differences.

designObservational descriptive study utilising an automated method of facial assessment. SETTING AND

participantsA total of 4747 children from the Avon Longitudinal Study of Parents and Children (ALSPAC) who each had 3D facial scans carried out at 15 years of age.

methodsEach of the participants was automatically categorised regarding predetermined lip morphological traits. Descriptive statistics were applied to report the prevalence of the different types of each trait, and chi-square tests were used to investigate sex differences and associations between traits.

resultsA total of 4730 individuals were assessed (47% male, 53% female). Eight predetermined lip traits have been reported previously. There were differences in prevalence for all lip traits in male and female patients (all

conclusionThe automated computerised method described is an invaluable tool for the categorisation of lip morphological traits. The prevalence of various types of traits has been described. Sexual dimorphism exists for all the lip traits assessed. Generally, each of the traits are associated with all other traits, with individual associations reported.

Indexed as

FaceLipCephalometryChildFemaleHumansLongitudinal StudiesMalePhenotypeSex Characteristics3D imagingALSPACautomated classificationfacial morphologyfacial shapeimaging and cephalometrylip morphologylip shape

Identifiers

PMID35796491
PMCPMC9679330
OpenAlexW4284696323

What OpenQuestion holds

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LicenceCC BY-NC
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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.