Evidence map›Paper›PMID 35676793›Full record

ArticleDiabetes, obesity & metabolism2022

Hospital costs associated with adverse events in people with diabetes in the UK.

Mi Jun Keng, Jose Leal, Louise Bowman, Jane Armitage, Borislava Mihaylova, ASCEND Study Collaborative Group

Abstract read
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Article in Diabetes, obesity & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Mi Jun KengHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-5979-1706
Jose LealHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-7870-6730
Louise BowmanClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jane ArmitageBritish Heart Foundation Centre of Research Excellence, Oxford, UK.
Borislava MihaylovaHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-0951-1304
ASCEND Study Collaborative Group

Funding

British Heart Foundation CH/1996001/9454British Heart Foundation RE/13/1/30181British Heart Foundation SP/08/010/25939British Heart Foundation SP/14/3/31114Cancer Research UKDepartment of HealthMedical Research Council MC_U137686853Medical Research Council MC_UU_12026/5
6 · The paper itself

Abstract

aimTo estimate the annual hospital costs associated with a range of adverse events for people with diabetes in the UK.

methodsAnnual hospital costs (2019/2020) were derived from 15 436 ASCEND participants from 2005 to 2017 (120 420 person-years). The annual hospital costs associated with cardiovascular events (myocardial infarction, coronary revascularization, transient ischaemic attack [TIA], ischaemic stroke, heart failure), bleeding (gastrointestinal [GI] bleed, intracranial haemorrhage, other major bleed), cancer (GI tract cancer, non-GI tract cancer), end-stage renal disease (ESRD), lower limb amputation and death (vascular, non-vascular) were estimated using a generalized linear model following adjustment for participants' sociodemographic and clinical factors.

resultsIn the year of event, ESRD was associated with the largest increase in annual hospital cost (£20 954), followed by lower limb amputation (£17 887), intracranial haemorrhage (£12 080), GI tract cancer (£10 160), coronary revascularization (£8531 if urgent; £8302 if non-urgent), heart failure (£8319), non-GI tract cancer (£7409), ischaemic stroke (£7170), GI bleed (£5557), myocardial infarction (£4913), other major bleed (£3825) and TIA (£1523). In subsequent years, most adverse events were associated with lasting but smaller increases in hospital costs, except for ESRD, where the additional cost remained high (£20 090).

conclusionsOur study provides robust estimates of annual hospital costs associated with a range of adverse events in people with diabetes that can inform future cost-effectiveness analyses of diabetes interventions. It also highlights the potential cost savings that could be derived from prevention of these costly complications.

Indexed as

Brain IschemiaDiabetes MellitusHeart FailureIschemic Attack, TransientIschemic StrokeKidney Failure, ChronicMyocardial InfarctionStrokeHospital CostsHumansIntracranial HemorrhagesUnited Kingdomcardiovascular diseasecost-effectivenessdiabetes complicationshealth economics

Identifiers

PMID35676793
PMCPMC9796307

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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.