Evidence map›Paper›PMID 40199811›Full record

ArticleJournal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie2026

Which of the nine facial profiles according to AM Schwarz is the most (un)attractive?

F Kunz, N F Nordblom, B Goetz, L Fenger, A Stellzig-Eisenhauer

Abstract read
In one paragraph

Article in Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie, 2026. 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
–field-weighted citation impact
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. Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026
    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

5 authors.

F KunzDepartment of Orthodontics, University Hospital Würzburg, Pleicherwall 2, 97070, Würzburg, Germany. kunz_f@ukw.de.
N F NordblomDepartment of Orthodontics, University Hospital Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
B GoetzDepartment of Orthodontics, University Hospital Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
L FengerDepartment of Orthodontics, University Hospital Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
A Stellzig-EisenhauerDepartment of Orthodontics, University Hospital Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe human profile has always been fascinating to artists, scientists, and physicians. In the mid 20th century, AM Schwarz created a profile analysis for orthodontics, which categorizes both the sagittal position of the midface as well as the position of the chin, and is still widely used today. In combination, this analysis leads to nine different profile types, which are assumed to differ in terms of their attractiveness. Since there has been hardly any scientific research in this area so far, the aim of this study was to quantify the attractiveness of the nine profile types according to AM Schwarz.

methodsThe "Basel face model" is a three-dimensional (3D) facial dataset that was created artificially by morphing a total of 100 female and 100 male 3D face scans. For the present study, this face model was modified to ideally represent all nine profile types according to AM Schwarz. The representation of those nine facial models depicted in a standardized lateral perspective were assessed in terms of attractiveness by 1261 volunteers of different ages and educational level. The ratings were statistically analyzed using repeated measures analysis of variance (ANOVA) and pairwise comparisons.

resultsThe results revealed significant differences in attractiveness regarding the nine profile types. Average faces were perceived significantly more attractive than antefaces and these in turn were perceived more attractive than retrofaces. Furthermore, straight and backward-slanting profiles were rated significantly more attractive than forward-slanting profiles. There were no clinically relevant differences between the assessments of males and females or between raters of different educational levels.

conclusionThe perceived attractiveness of the nine profile types according to AM Schwarz differed significantly. This perception did not seem to be affected by gender or the level of education.

Indexed as

BeautyFaceImaging, Three-DimensionalAdolescentAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityYoung AdultAttractivenessBasel face modelDiagnostic analysisOrthodonticsThree-dimensional face scans

Identifiers

PMID40199811
PMCPMC13275520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.