Literature DB >> 11827260

Applying modern survival analysis methods to longitudinal dental caries studies.

T Härkäne1, M A Larmas, J I Virtanen, E Arjas.   

Abstract

Before the 1960s, tooth-specific caries risk was reported to be highest at 2 to 4 years after eruption. We studied the tooth-specific caries risk in three contemporary age cohorts in Finland. All together, 4072 boys and girls were followed annually from age 6 to age 18+ years in three age cohorts born in the 1960s, 1970s, and 1980s. We used a survival model and Bayesian inferential methods in the statistical analyses to establish the secular changes during this period. The analysis was based on the caries risk in individual teeth as a function of tooth age instead of summary measures, such as DMFS values. Our first finding was a marked overall decrease of caries. Moreover, analyses of the 1960 and 1970 cohorts revealed that the risk in molar teeth was highest immediately after eruption; in the youngest cohort, however, the risks of individual teeth were so low that no such dependencies on tooth age could be established.

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Year:  2002        PMID: 11827260

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  10 in total

1.  Caries resistance as a function of age in an initially caries-free population.

Authors:  A Wen; D Goldberg; C F Marrs; R J Weyant; M L Marazita; U Srinivasan; L Zhang; R Crout; D W McNeil; B Foxman
Journal:  J Dent Res       Date:  2012-06-05       Impact factor: 6.116

2.  Survival analysis of caries incidence in African-American school-aged children.

Authors:  Tariq S Ghazal; Steven M Levy; Noel K Childers; Knute D Carter; Daniel J Caplan; John J Warren; Justine L Kolker
Journal:  J Public Health Dent       Date:  2018-09-20       Impact factor: 1.821

3.  Caries experience in primary teeth of four birth cohorts: a practice-based study.

Authors:  T Käkilehto; J Siiskonen; H Vähänikkilä; S Salo; L Tjäderhane; V Anttonen
Journal:  Eur Arch Paediatr Dent       Date:  2013-04-03

4.  A marginal cure rate proportional hazards model for spatial survival data.

Authors:  Patrick Schnell; Dipankar Bandyopadhyay; Brian J Reich; Martha Nunn
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2015-03-26       Impact factor: 1.864

Review 5.  The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health.

Authors:  Andres Gomez; Karen E Nelson
Journal:  Microb Ecol       Date:  2016-09-14       Impact factor: 4.552

6.  Calculating averted caries attributable to school-based sealant programs with a minimal data set.

Authors:  Susan O Griffin; Kari Jones; Matthew Crespin
Journal:  J Public Health Dent       Date:  2014-01-15       Impact factor: 1.821

7.  Trajectory patterns of dental caries experience in the permanent dentition to the fourth decade of life.

Authors:  J M Broadbent; W M Thomson; R Poulton
Journal:  J Dent Res       Date:  2008-01       Impact factor: 6.116

Review 8.  Predicting Dental Caries Outcomes in Children: A "Risky" Concept.

Authors:  K Divaris
Journal:  J Dent Res       Date:  2015-12-08       Impact factor: 6.116

9.  Long-term predictive value of salivary microbial diagnostic tests in children.

Authors:  P S H Ollila; M A Larmas
Journal:  Eur Arch Paediatr Dent       Date:  2008-03

10.  The BBaRTS Healthy Teeth Behaviour Change Programme for preventing dental caries in primary school children: study protocol for a cluster randomised controlled trial.

Authors:  Cynthia Pine; Pauline Adair; Louise Robinson; Girvan Burnside; Paula Moynihan; William Wade; James Kistler; Morag Curnow; Mary Henderson
Journal:  Trials       Date:  2016-02-20       Impact factor: 2.279

  10 in total

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