Evidence map›Paper›PMID 36548933›Full record

ArticleVision (Basel, Switzerland)2022

Does Father Christmas Have a Distinctive Facial Phenotype?

Thomas Wright, Chris Law, Ben Wright, Barry Wright

Abstract read
In one paragraph

Article in Vision (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Thomas WrightManchester Centre for Genomic Medicine, Clinical Genetics Service, Saint Mary's Hospital, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, UK.ORCID 0000-0003-3056-2621
Chris LawIndependent Data Scientist, London N18 1QX, UK.
Ben WrightRadiotherapy Department, North Middlesex University Hospital NHS Trust, Sterling Way, London N18 1QX, UK.
Barry WrightCOMIC Research, Hull York Medical School, University of York, York YO10 5NP, UK.ORCID 0000-0002-8692-6001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated whether Father Christmas has a distinguishable facial phenotype by performing a cross-sectional cohort study examining the facial feature vectors of all publicly available photographs obtained from a google image search of individuals meeting our eligibility criteria presenting as Father Christmas compared with other adult and elderly bearded men. Facial feature vectors were determined using the open-source OpenFace facial recognition system and assessed by support vector machines (SVM). SVM classifiers were trained to distinguish between the facial feature vectors from our groups. Accuracy, precision, and recall results were calculated and the area under the curve (AUC) of the receiver operating characteristic (ROC) were reported for each classifier. SVM classifiers were able to distinguish the face of Father Christmas from other adult men with a high degree of accuracy and could discriminate Father Christmas from elderly bearded men but with lower accuracy. Father Christmas appears to have a distinct facial phenotype when compared to adult men and elderly bearded men. This will be reassuring to children who may be keen to recognise him but raises some interesting questions about the careful use of two-dimensional facial analysis, particularly when employed to explore the relationships between genotype and facial phenotype in a clinical dysmorphology setting.

Indexed as

artificial intelligencedysmorphologyfacefacial analysisfacial phenotypeFather ChristmasOpenFaceSanta Claussupport vector machines

Identifiers

PMID36548933
PMCPMC9787237

What OpenQuestion holds

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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.