Evidence map›Paper›PMID 39574014›Full record

ArticleBMC public health2024

Inequalities in oral health: estimating the longitudinal economic burden of dental caries by deprivation status in six countries.

Gerard Dunleavy, Neeladri Verma, Radha Raghupathy, Shivangi Jain, Joao Hofmeister, Rob Cook, Marko Vujicic, Moritz Kebschull, Iain Chapple, Nicola West and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Trends in Socioeconomic Inequalities in the Distribution of Dental Caries Among Brazilian Adolescents, 2003-2023.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Observational
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  17. SmilebrightMethods and protocols · 2025
    Article
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  19. TheBiomaterial investigations in dentistry · 2025
    Article
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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

11 authors.

Gerard DunleavyEconomist Impact, London, UK. gerarddunleavy@economist.com.
Neeladri VermaEconomist Impact, London, UK.
Radha RaghupathyDepartment of Medicine, Division of Haematology, Medical Oncology & Haematopoietic Stem Cell Transplantation, The University of Hong Kong, Hong Kong, Hong Kong.
Shivangi JainEconomist Impact, London, UK.
Joao HofmeisterEconomist Impact, London, UK.
Rob CookEconomist Impact, London, UK.
Marko VujicicHealth Policy Institute, American Dental Association, Chicago, USA.
Moritz KebschullBirmingham NIHR Biomedical Research Centre, The University of Birmingham, Birmingham, UK.
Iain ChappleBirmingham NIHR Biomedical Research Centre, The University of Birmingham, Birmingham, UK.
Nicola West *Periodontology, Bristol Dental School, University of Bristol, Bristol, UK.
Nigel Pitts *Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent World Health Organization (WHO) resolution on oral health urges pivoting to a preventive approach and integration of oral health into the non-communicable diseases agenda. This study aimed to: 1) explore the healthcare costs of managing dental caries between the ages of 12 and 65 years across socioeconomic groups in six countries (Brazil, France, Germany, Indonesia, Italy, UK), and 2) estimate the potential reduction in direct costs from non-targeted and targeted oral health-promoting interventions.

methodsA cohort simulation model was developed to estimate the direct costs of dental caries over time for different socioeconomic groups. National-level DMFT (dentine threshold) data, the relative likelihood of receiving an intervention (such as a restorative procedure, tooth extraction and replacement), and clinically-guided assumptions were used to populate the model. A hypothetical group of upstream and downstream preventive interventions were applied either uniformly across all deprivation groups to reduce caries progression rates by 30% or in a levelled-up fashion with the greatest gains seen in the most deprived group.

resultsThe population level direct costs of caries from 12 to 65 years of age varied between US10.2 billion in Italy to US$36.2 billion in Brazil. The highest per-person costs were in the UK at US$22,910 and the lowest in Indonesia at US$7,414. The per-person direct costs were highest in the most deprived group across Brazil, France, Italy and the UK. With the uniform application of preventive measures across all deprivation groups, the greatest reduction in per-person costs for caries management was seen in the most deprived group across all countries except Indonesia. With a levelling-up approach, cost reductions in the most deprived group ranged from US$3,948 in Indonesia to US$17,728 in the UK.

conclusionOur exploratory analysis shows the disproportionate economic burden of caries in the most deprived groups and highlights the significant opportunity to reduce direct costs via levelling-up preventive measures. The healthcare burden stems from a higher baseline caries experience and greater annual progression rates in the most deprived. Therefore, preventive measures should be start early, with a focus on lowering early childhood caries and continue through the life course.

Indexed as

Dental CariesAdolescentAdultAgedBrazilChildCost of IllnessFemaleFranceGermanyHealth Care CostsHealth Status DisparitiesHumansIndonesiaItalyLongitudinal StudiesDental cariesEconomic burdenInequalitiesNon-communicable diseasesOral healthPreventionPublic healthSocioeconomic

Identifiers

PMID39574014
PMCPMC11580539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.