Evidence map›Paper›PMID 25869680›Full record

ArticleBMJ open2015

Evidence for a persistent, major excess in all cause admissions to hospital in children with type-1 diabetes: results from a large Welsh national matched community cohort study.

Adrian Sayers, Daniel Thayer, John N Harvey, Stephen Luzio, Mark D Atkinson, Robert French, Justin T Warner, Colin M Dayan, Susan F Wong, John W Gregory

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 27 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

10 authors at 5 institutions in 1 country.

Adrian SayersSchool of Clinical Sciences, University of Bristol, Southmead Hospital, Bristol, UK.
Daniel ThayerCentre for Health Information Research and Evaluation, College of Medicine, Swansea University, Swansea, UK.
John N HarveyWrexham Academic Unit, Bangor University, Wrexham, Bangor, UK.
Stephen LuzioDiabetes Research Group, College of Medicine, Swansea University, Swansea, UK.
Mark D AtkinsonCentre for Health Information Research and Evaluation, College of Medicine, Swansea University, Swansea, UK.
Robert FrenchCentre for Multi-level Modelling, University of Bristol, Bristol, UK.
Justin T WarnerDepartment of Child Health, University Hospital of Wales, Cardiff, UK.
Colin M DayanDiabetes Research Group, Institute of Molecular & Experimental Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Susan F WongDiabetes Research Group, Institute of Molecular & Experimental Medicine, School of Medicine, Cardiff University, Cardiff, UK.
John W GregoryDiabetes Research Group, Institute of Molecular & Experimental Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Cardiff University · GBSwansea University · GBUniversity of Bristol · GBBangor University · GBUniversity Hospital of Wales · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate the excess in admissions associated with type1 diabetes in childhood.

designMatched-cohort study using anonymously linked hospital admission data.

settingBrecon Group Register of new cases of childhood diabetes in Wales linked to hospital admissions data within the Secure Anonymised Information Linkage Databank. POPULATION: 1577 Welsh children (aged between 0 and 15 years) from the Brecon Group Register with newly-diagnosed type-1 diabetes between 1999-2009 and 7800 population controls matched on age, sex, county, and deprivation, randomly selected from the local population.

main outcome measuresDifference in all-cause hospital admission rates, 30-days post-diagnosis until 31 May 2012, between participants and controls.

resultsChildren with type-1 diabetes were followed up for a total of 12,102 person years and were at 480% (incidence rate ratios, IRR 5.789, (95% CI 5.34 to 6.723), p<0.0001) increased risk of hospital admission in comparison to matched controls. The highest absolute excess of admission was in the age group of 0-5 years, with a 15.4% (IRR 0.846, (95% CI 0.744 to 0.965), p=0.0061) reduction in hospital admissions for every 5-year increase in age at diagnosis. A trend of increasing admission rates in lower socioeconomic status groups was also observed, but there was no evidence of a differential rate of admissions between men and women when adjusted for background risk. Those receiving outpatient care at large centres had a 16.1% (IRR 0.839, (95% CI 0.709 to 0.990), p=0.0189) reduction in hospital admissions compared with those treated at small centres.

conclusionsThere is a large excess of hospital admissions in paediatric patients with type-1 diabetes. Rates are highest in the youngest children with low socioeconomic status. Factors influencing higher admission rates in smaller centres (eg, "out of hours resources") need to be explored with the aim of targeting modifiable influences on admission rates.

Indexed as

AdolescentAge DistributionCase-Control StudiesChildCohort StudiesDiabetes Mellitus, Type 1FemaleHospitalizationHumansMaleRisk FactorsSex DistributionSocioeconomic FactorsWalesDIABETES & ENDOCRINOLOGYPAEDIATRICS

Identifiers

PMID25869680
PMCPMC4420955
OpenAlexW2190538166

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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.