Evidence map›Paper›PMID 30367654›Full record

SynthesisBMC oral health2018

Socioeconomic status, oral health and dental disease in Australia, Canada, New Zealand and the United States.

Gloria C Mejia, Hawazin W Elani, Sam Harper, W Murray Thomson, Xiangqun Ju, Ichiro Kawachi, Jay S Kaufman, Lisa M Jamieson

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC oral health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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  16. The life course and oral health in old age.Journal of the Royal Society of New Zealand · 2024
    Review
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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

8 authors at 4 institutions in 4 countries.

Gloria C MejiaAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, SA, 5005, Australia. gloria.mejia@adelaide.edu.au.ORCID 0000-0003-2189-3525
Hawazin W ElaniHarvard School of Dental Medicine, Harvard University, Boston, MA, USA.
Sam HarperDepartment of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, H3A 1A2, Canada.
W Murray ThomsonSir John Walsh Research Institute, Faculty of Dentistry, The University of Otago, Dunedin, New Zealand.
Xiangqun JuAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, SA, 5005, Australia.
Ichiro KawachiSocial and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
Jay S KaufmanDepartment of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, H3A 1A2, Canada.
Lisa M JamiesonAustralian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, SA, 5005, Australia.
The University of Adelaide · AUHarvard University · USMcGill University · CAUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic inequalities are associated with oral health status, either subjectively (self-rated oral health) or objectively (clinically-diagnosed dental diseases). The aim of this study is to compare the magnitude of socioeconomic inequality in oral health and dental disease among adults in Australia, Canada, New Zealand and the United States (US).

methodsNationally-representative survey examination data were used to calculate adjusted absolute differences (AD) in prevalence of untreated decay and fair/poor self-rated oral health (SROH) in income and education. We pooled age- and gender-adjusted inequality estimates using random effects meta-analysis.

resultsNew Zealand demonstrated the highest adjusted estimate for untreated decay; the US showed the highest adjusted prevalence of fair/poor SROH. The meta-analysis showed little heterogeneity across countries for the prevalence of decayed teeth; the pooled ADs were 19.7 (95% CI = 16.7-22.7) and 12.0 (95% CI = 8.4-15.7) between highest and lowest education and income groups, respectively. There was heterogeneity in the mean number of decayed teeth and in fair/poor SROH. New Zealand had the widest inequality in decay (education AD = 0.8; 95% CI = 0.4-1.2; income AD = 1.0; 95% CI = 0.5-1.5) and the US the widest inequality in fair/poor SROH (education AD = 40.4; 95% CI = 35.2-45.5; income AD = 20.5; 95% CI = 13.0-27.9).

conclusionsThe differences in estimates, and variation in the magnitude of inequality, suggest the need for further examining socio-cultural and contextual determinants of oral health and dental disease in both the included and other countries.

Indexed as

Oral HealthSocial ClassAdultAustraliaCanadaDental Health SurveysHumansNew ZealandTooth DiseasesUnited StatesDental cariesOral healthSelf-reportSocioeconomic factors

Identifiers

PMID30367654
PMCPMC6204046
OpenAlexW2898361652

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.