Evidence map›Paper›PMID 38195503›Full record

ArticleBMC oral health2024

Prediction of deciduous teeth eruption in Brazilian children: A cross-sectional study nested in a prospective birth cohort (BRISA).

Rafiza Felix Marão Martins, Alcione Miranda Dos Santos, Maria da Conceição Pereira Saraiva, Cecília Cláudia Costa Ribeiro, Cláudia Maria Coelho Alves, Antônio Augusto Moura da Silva, Heloisa Betiol, Marco Antonio Barbieri, Erika Barbara Abreu Fonseca Thomaz

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In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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

9 authors.

Rafiza Felix Marão MartinsFederal University of Maranhao, São Luís, Brazil. rafizafmm@gmail.com.
Alcione Miranda Dos SantosFederal University of Maranhao, São Luís, Brazil.
Maria da Conceição Pereira SaraivaRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Cecília Cláudia Costa RibeiroFederal University of Maranhao, São Luís, Brazil.
Cláudia Maria Coelho AlvesFederal University of Maranhao, São Luís, Brazil.
Antônio Augusto Moura da SilvaFederal University of Maranhao, São Luís, Brazil.
Heloisa BetiolRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Marco Antonio BarbieriRibeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Erika Barbara Abreu Fonseca ThomazFederal University of Maranhao, São Luís, Brazil. erika.barbara@ufma.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico Bolsista de ProdutividadeConselho Nacional de Desenvolvimento Científico e Tecnológico Bolsista de Produtividade, Edital 2022Conselho Nacional de Desenvolvimento Científico e Tecnológico Bolsista de Produtividade, Processos 306592/2018-5 and 308917/2021-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES finance code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 08/53593-0Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão 00035/2008
6 · The paper itself

Abstract

backgroundDental eruption is part of a set of children´s somatic growth phenomena. The worldwide accepted human dental eruption chronology is still based on a small sample of European children. However, evidence points to some population variations with the eruption at least two months later in low-income countries, and local standards may be useful. So, this study aimed to predict deciduous teeth eruption from 12 months of age in a Brazilian infant population.

methodsWe developed a cross-sectional study nested in four prospective cohorts - the Brazilian Ribeirão Preto and São Luís Cohort Study (BRISA) - in a sample of 3,733 children aged 12 to 36 months old, corrected by gestational age. We made a reference curve with the number of teeth erupted by age using the Generalized Additive Models for location, scale, and shape (GAMLSS) technique. The explanatory variable was the corrected children´s age. The dependent variable was the number of erupted teeth, by gender, evaluated according to some different outcome distributional forms. The generalized Akaike information criterion (GAIC) and the model residuals were used as the model selection criterion.

resultsThe Box-Cox Power Exponential method was the GAMLSS model with better-fit indexes. Our estimation curve was able to predict the number of erupted deciduous teeth by age, similar to the real values, in addition to describing the evolution of children's development, with comparative patterns. There was no difference in the mean number of erupted teeth between the sexes. According to the reference curve, at 12 months old, 25% of children had four erupted teeth or less, while 75% had seven or fewer and 95% had 11 or fewer. At 24 months old, 5% had less than 12, and 75% had 18 or more. At 36 months old, around 50% of the population had deciduous dentition completed (20 teeth).

conclusionThe adjusted age was an important predictor of the number of erupted deciduous teeth. This outcome can be a variable incorporated into children's growth and development curves, such as weight and height curves for age to help dentists and physicians in the monitoring the children's health.

Indexed as

Birth CohortTooth, DeciduousBrazilChildChild, PreschoolCohort StudiesCross-Sectional StudiesHumansInfantProspective StudiesEstimation technicsGrowth chartsTooth eruption

Identifiers

PMID38195503
PMCPMC10777573

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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.