Evidence map›Paper›PMID 35076186›Full record

ArticleAnatomical record (Hoboken, N.J. : 2007)2022

Craniofacial growth and morphology among intersecting clinical categories.

Ryan P Knigge, Anna M Hardin, Kevin M Middleton, Kieran P McNulty, Hee Soo Oh, Manish Valiathan, Dana L Duren, Richard J Sherwood

Open access · greenAbstract read
In one paragraph

Article in Anatomical record (Hoboken, N.J. : 2007), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Ryan P KniggeDepartment of Integrative Biology and Physiology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID 0000-0003-3826-5373
Anna M HardinCraniofacial Research Center, Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Kevin M MiddletonCraniofacial Research Center, Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Kieran P McNultyDepartment of Anthropology, University of Minnesota, Minneapolis, Minnesota, USA.
Hee Soo OhDepartment of Orthodontics, Arthur A. Dugoni School of Dentistry, University of the Pacific, San Francisco, California, USA.
Manish ValiathanDepartment of Orthodontics, School of Dental Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Dana L DurenCraniofacial Research Center, Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Richard J SherwoodCraniofacial Research Center, Department of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.ORCID 0000-0002-3733-3891
University of Missouri · USCase Western Reserve University · USUniversity of Minnesota · USUniversity of Minnesota Medical Center · USUniversity of the Pacific · US

Funding

Craniofacial Growth Prediction in Different Facial TypesR01DE024732 · NIDCR · WRIGHT STATE UNIVERSITY · PI OH, HEESOO, SHERWOOD, RICHARD J · 2015 to 2019
$3.0M
Longitudinal Modeling of Craniofacial Growth TrajectoriesR03DE021435 · NIDCR · WRIGHT STATE UNIVERSITY · PI NAHHAS, RAMZI WILLIAM · 2011 to 2012
$277k
Ontogenetic integration in individuals with craniofacial anomaliesF32DE029104 · NIDCR · UNIVERSITY OF MISSOURI-COLUMBIA · PI HARDIN, ANNA M · 2019 to 2019
$64k
NIDCR NIH HHS F32 DE029104NIDCR NIH HHS R01 DE024732NIDCR NIH HHS R01 DE024732-06W1NIDCR NIH HHS R03 DE021435
6 · The paper itself

Abstract

Differential patterns of craniofacial growth are important sources of variation that can result in skeletal malocclusion. Understanding the timing of growth milestones and morphological change associated with adult skeletal malocclusions is critical for developing individualized orthodontic growth modification strategies. To identify patterns in the timing and geometry of growth, we used Bayesian modeling of cephalometrics and geometric morphometric analyses with a dense, longitudinal sample consisting of 15,407 cephalograms from 1,913 individuals between 2 and 31 years of age. Individuals were classified into vertical facial types (hyper-, normo-, hypo-divergent) and anteroposterior (A-P) skeletal classes (Class I, Class II, Class III) based on adult mandibular plane angle and ANB angle, respectively. These classifications yielded eight facial type-skeletal class categories with sufficient sample sizes to be included in the study. Four linear cephalometrics representing facial heights and maxillary and mandibular lengths were fit to standard double logistic models generating type-class category-specific estimates for age, size, and rate of growth at growth milestones. Mean landmark configurations were compared among type-class categories at four time points between 6 and 20 years of age. Overall, morphology and growth patterns were more similar within vertical facial types than within A-P classes and variation among A-P classes typically nested within variation among vertical types. Further, type-class-associated variation in the rate and magnitude of growth in specific regions identified here may serve as targets for clinical treatment of complex vertical and A-P skeletal malocclusion and provide a clearer picture of the development of variation in craniofacial form.

Indexed as

MalocclusionMalocclusion, Angle Class IIMalocclusion, Angle Class IIIAdultBayes TheoremCephalometryHumansMandibleMaxillacephalometricscraniofacial growthgeometric morphometricsgrowth modelingmalocclusion

Identifiers

PMID35076186
PMCPMC9309194
OpenAlexW4206959715

What OpenQuestion holds

Textmetadata
LicenceTDM
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.