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Record W3214818639 · doi:10.1177/00220345211056247

Global Burden and Inequality of Dental Caries, 1990 to 2019

2021· article· en· W3214818639 on OpenAlexaff
Yi Feng Wen, Mengxuan Chen, Yu Jie Zhong, Q.Q. Dong, Hai Ming Wong

Bibliographic record

VenueJournal of Dental Research · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsUniversity of British Columbia
FundersResearch Grants Council, University Grants Committee
KeywordsMedicineDeciduous teethPermanent teethDentistryDentitionDemographyPermanent dentitionOral healthPopulationDeciduous dentitionEnvironmental healthDisease burdenTooth lossRoot caries

Abstract

fetched live from OpenAlex

Previous studies on the global burden of caries primarily focused on simple descriptive statistics. We aimed to characterize the burden, trends, and inequalities of untreated caries of permanent and deciduous teeth from 1990 to 2019 at the global, regional, and national levels through an array of analytic approaches. Estimates of caries burden were extracted from the Global Burden of Disease Study 2019. Decomposition analysis was performed to examine the contribution of demographic and epidemiologic factors to the evolving number of prevalent caries cases. In portfolio analysis, the caries epidemiologic profile of each country was categorized by terciles of age-standardized prevalence in 2019 and average annual percentage change from 1990 to 2019. Sociodemographic attribution analysis was performed to reveal the scale of inequality in burden of caries. Age-standardized prevalence of caries in permanent and deciduous teeth decreased 3.6% (95% uncertainty interval, 2.6% to 4.5%) and 3.0% (1.3% to 4.9%), respectively. Population growth was the key driver of the changes in the number of caries cases, especially in sub-Saharan Africa (percentage contribution: 126.6%, permanent teeth; 103.0%, deciduous teeth). Caries prevalence in the permanent dentition was lower in more developed countries, whereas a reverse trend was noted in the deciduous dentition, except for the highest sociodemographic quintile where caries prevalence was the lowest. Globally, 64.6 million (95% CI, 64.4 to 64.9 million) and 62.9 million (62.8 to 63.1 million) prevalent cases of caries in permanent and deciduous teeth were attributable to sociodemographic inequality in 2019. This amounted to 3.2% (3.2% to 3.2%) and 12.1% (12.1% to 12.1%) of the global number of prevalent cases of caries in permanent and deciduous teeth. Burden of dental caries remains a global public health challenge. A systemwide reform of the global oral health care system is needed to tackle the causes of the burden and inequality of dental caries.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.071
GPT teacher head0.454
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations406
Published2021
Admission routes1
Has abstractyes

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