Evidence map›Paper›PMID 33015973›Full record

ArticleAnatomical record (Hoboken, N.J. : 2007)2021

Bayesian approach to longitudinal craniofacial growth: The Craniofacial Growth Consortium Study.

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

Open access · greenAbstract read
In one paragraph

Article in Anatomical record (Hoboken, N.J. : 2007), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Craniofacial growth percentile curves: A clinical tool from the Craniofacial Growth Consortium Study.American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics · 2026
    Article
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  8. Article
  9. Estimating Craniofacial Growth Cessation: Comparison of Asymptote- and Rate-Based Methods.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2022
    Article
  10. Geometric morphometric analysis of growth patterns among facial types.American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics · 2021
    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

9 authors at 4 institutions in 1 country.

Richard J SherwoodDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.ORCID 0000-0002-3733-3891
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.
Kieran P McNultyDepartment of Anthropology, University of Minnesota, Minneapolis, Minnesota, USA.
Dana L DurenDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Ryan P KniggeDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Anna M HardinDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.ORCID 0000-0003-1466-7642
Christina L HolzhauserDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
Kevin M MiddletonDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, Missouri, USA.
University of Missouri · USCase Western Reserve University · USUniversity of Minnesota · 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

Early in the 20th century, a series of studies were initiated across North America to investigate and characterize childhood growth. The Craniofacial Growth Consortium Study (CGCS) combines craniofacial records from six of those growth studies (15,407 lateral cephalograms from 1,913 individuals; 956 females, 957 males, primarily European descent). Standard cephalometric points collected from the six studies in the CGCS allows direct comparison of craniofacial growth patterns across six North American locations. Three assessors collected all cephalometric points and the coordinates were averaged for each point. Twelve measures were calculated from the averaged coordinates. We implemented a multilevel double logistic equation to estimate growth trajectories fitting each trait separately by sex. Using Bayesian inference, we fit three models for each trait with different random effects structures to compare differences in growth patterns among studies. The models successfully identified important growth milestones (e.g., age at peak growth velocity, age at cessation of growth) for most traits. In a small number of cases, these milestones could not be determined due to truncated age ranges for some studies and slow, steady growth in some measurements. Results demonstrate great similarity among the six growth studies regarding craniofacial growth milestone estimates and the overall shape of the growth curve. These similarities suggest minor variation among studies resulting from differences in protocol, sample, or possible geographic variation. The analyses presented support combining the studies into the CGCS without substantial concerns of bias. The CGCS, therefore, provides an unparalleled opportunity to examine craniofacial growth from childhood into adulthood.

Indexed as

AdolescentBayes TheoremCephalometryChildChild, PreschoolFemaleHumansInfantMaleMaxillofacial DevelopmentSkullBayesian inferencecephalometricscraniofacial growthdouble logisticgrowth modeling

Identifiers

PMID33015973
PMCPMC8577187
OpenAlexW3091117979

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.