Evidence map›Paper›PMID 41722087›Full record

ArticleJournal of public health (Oxford, England)2026

The impact of the UK soft drink industry levy on ethnic inequalities in admission rates for caries-related extractions.

C C Salomon-Ibarra, J Wu, V Toffolutti, E Bernabe

Abstract read
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In one paragraph

Article in Journal of public health (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

C C Salomon-IbarraInstitute of Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, London, UK.
J WuWolfson Institute of Population Health, Queen Mary University of London, 58 Turner Street London E1 2AB, London, UK.ORCID 0000-0001-6093-599X
V ToffoluttiWolfson Institute of Population Health, Queen Mary University of London, 58 Turner Street London E1 2AB, London, UK.
E BernabeInstitute of Dentistry, Queen Mary University of London, Turner Street, London E1 2AD, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the impact of the soft drinks industry levy (SDIL) on ethnic inequalities in hospital admissions for caries-related extractions among children in England.

methodsNHS hospital admission rates for caries-related extractions among 0-17-year-olds, between March 2007 and December 2024, were stratified into five ethnic groups (white, black, South Asian, mixed and others). Absolute and relative inequalities in admission rates were assessed using the weighted mean difference from the reference group (WMDR) and the Theil index, respectively. The impact of the SDIL on each ethnic inequality measure was quantified in a segmented regression model against a counterfactual scenario of no implementation.

resultsCompared to the counterfactual scenario of no implementation, there were no absolute reductions in the WMDR at 22 months (0.04, 95% CI: -0.58 to 0.65) and 80 months (-0.16, 95% CI: -1.21 to 0.88) after implementation. Similarly, there were no absolute reductions in the Theil index at 22 months (-0.66, 95% CI: -8.01 to 6.68) and 80 months (-6.15, 95% CI: -19.36 to 7.07).

conclusionsThe introduction of the SDIL was not associated with reductions in ethnic inequalities in admission rates for caries-related extractions.

Indexed as

Carbonated BeveragesDental CariesEthnicityFood IndustryHealthcare DisparitiesPatient AdmissionTooth ExtractionAdolescentChildChild, PreschoolEnglandFemaleHumansInfantInfant, Newborndental care for childrendental carieshealth inequalitiessugar-sweetened beveragestaxestooth extraction

Identifiers

PMID41722087
PMCPMC13223591

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.