Evidence map›Paper›PMID 38264366›Full record

ArticleBMJ nutrition, prevention & health2023

Estimated impact of the UK soft drinks industry levy on childhood hospital admissions for carious tooth extractions: interrupted time series analysis.

Nina Trivedy Rogers, David I Conway, Oliver Mytton, Chrissy H Roberts, Harry Rutter, Andrea Sherriff, Martin White, Jean Adams

Open access · goldAbstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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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 5 institutions in 1 country.

Nina Trivedy RogersMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1857-2122
David I ConwaySchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Oliver MyttonInstitute of Child Health, University College London, London, UK.
Chrissy H RobertsDepartment of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-1064-5980
Harry RutterDepartment of Social and Policy Sciences, University of Bath, Bath, UK.ORCID 0000-0002-9322-0656
Andrea SherriffSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.
Martin WhiteMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1861-6757
Jean AdamsMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK.ORCID 0000-0002-5733-7830
University of Cambridge · GBUniversity of Glasgow · GBLondon School of Hygiene & Tropical Medicine · GBUniversity College London · GBUniversity of Bath · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tooth extraction due to dental caries is associated with socioeconomic deprivation and is a major reason for elective childhood hospital admissions in England. Consumption of sugar-sweetened beverages is a risk factor for dental caries. We examined whether the soft drinks industry levy (SDIL), announced in March 2016 and implemented in April 2018, was associated with changes in incidence rates of hospital admissions for carious tooth extraction in children, 22 months post-SDIL implementation. Methods: Changes in incidence rates of monthly National Health Service hospital admissions for extraction of teeth due to a primary diagnosis of dental caries (International Classification of Diseases; ICD-10 code: K02) in England, between January 2012 and February 2020, were estimated using interrupted time series and compared with a counterfactual scenario where SDIL was not announced or implemented. Periodical changes in admissions, autocorrelation and population structure were accounted for. Estimates were calculated overall, by Index of Multiple Deprivation (IMD) fifths and by age group (0-4 years, 5-9 years, 10-14 years, 15-18 years). Results: Compared with the counterfactual scenario, there was a relative reduction of 12.1% (95% CI 17.0% to 7.2%) in hospital admissions for carious tooth extractions in all children (0-18 years). Children aged 0-4 years and 5-9 years had relative reductions of 28.6% (95% CI 35.6% to 21.5%) and 5.5% (95% CI 10.5% to 0.5%), respectively; no change was observed for older children. Reductions were observed in children living in most IMD areas regardless of deprivation. Conclusion: The UK SDIL was associated with reductions in incidence rates of childhood hospital admissions for carious tooth extractions, across most areas regardless of deprivation status and especially in younger children. Trial registration number: ISRCTN18042742.

Indexed as

biomarkernutrition assessmentprecision nutrition

Identifiers

PMID38264366
PMCPMC10800259
OpenAlexW4388682541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.