Evidence map›Paper›PMID 32971753›Full record

ArticleJournal of clinical medicine2020

Novel Sub-Clustering of Class III Skeletal Malocclusion Phenotypes in a Southern European Population Based on Proportional Measurements.

Leixuri de Frutos-Valle, Conchita Martín, José Antonio Alarcón, Juan Carlos Palma-Fernández, Ricardo Ortega, Alejandro Iglesias-Linares

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. New Approaches and Technologies in Orthodontics.Journal of clinical medicine · 2024
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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 1 institution in 1 country.

Leixuri de Frutos-ValleSection of Orthodontics, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.ORCID 0000-0003-4084-7831
Conchita MartínSection of Orthodontics, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.ORCID 0000-0003-3997-6900
José Antonio AlarcónSection of Orthodontics, Faculty of Odontology, University of Granada, 18071 Granada, Spain.ORCID 0000-0003-3977-476X
Juan Carlos Palma-FernándezSection of Orthodontics, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.
Ricardo OrtegaSection of Radiology, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.
Alejandro Iglesias-LinaresSection of Orthodontics, Faculty of Odontology, Complutense University, 28040 Madrid, Spain.ORCID 0000-0001-9063-1612
Universidad Complutense de Madrid · ES

Funding

Universidad Complutense de Madrid G/6400100/3000
6 · The paper itself

Abstract

Current phenotypic characterizations of Class III malocclusion are influenced more by gender or ethnic origin than by raw linear skeletal measurements. The aim of the present research is to develop a Class III skeletal malocclusion sub-phenotype characterization based on proportional cranial measurements using principal component analysis and cluster analysis. Radiometric data from 212 adult subjects (115 women and 96 men) of southern European origin affected by Class III skeletal malocclusion were analyzed. A total of 120 measurements were made, 26 were proportional skeletal measurements, which were used to perform principal component analysis and subsequent cluster analysis. The remaining 94 supplementary measurements were used for a greater description of the identified clusters. Principal component analysis established eight principal components that explained 85.1% of the total variance. The first three principal components explained 51.4% of the variance and described mandibular proportions, anterior facial height proportions, and posterior-anterior cranial proportions. Cluster analysis established four phenotypic subgroups, representing 18.4% (C1), 20.75% (C2), 38.68% (C3), and 22.17% (C4) of the sample. A new sub-clustering of skeletal Class III malocclusions that avoids gender influence is provided. Our results improve clinicians' resources for Class III malocclusion and could improve the diagnostic and treatment approaches for this malocclusion.

Indexed as

angle Class IIIclusteringmalocclusionorthodonticsphenotypeprincipal component analysis

Identifiers

PMID32971753
PMCPMC7565379
OpenAlexW3087150824

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.