Evidence map›Paper›PMID 27042338›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2016

Long-term healthcare use and costs in patients with stable coronary artery disease: a population-based cohort using linked health records (CALIBER).

Simon Walker, Miqdad Asaria, Andrea Manca, Stephen Palmer, Chris P Gale, Anoop Dinesh Shah, Keith R Abrams, Michael Crowther, Adam Timmis, Harry Hemingway and 1 more

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In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
–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

32 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Modelling the Economic Impact of Reducing Loneliness in Community Dwelling Older People in England.International journal of environmental research and public health · 2021
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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

11 authors.

Simon WalkerCentre for Health Economics, University of York, York YO10 5DD, UK.
Miqdad AsariaCentre for Health Economics, University of York, York YO10 5DD, UK.
Andrea MancaCentre for Health Economics, University of York, York YO10 5DD, UK.
Stephen PalmerCentre for Health Economics, University of York, York YO10 5DD, UK.
Chris P GaleFaculty of Medicine and Health, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Anoop Dinesh ShahFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London WC1E 6BT, UK.
Keith R AbramsDepartment of Health Sciences, Centre for Biostatistics & Genetic Epidemiology, Leicester LE1 7RH, UK.
Michael CrowtherDepartment of Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Adam TimmisNIHR Biomedical Research Unit, Barts and the London NHS Trust, London E1 2AD, UK.
Harry HemingwayFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London WC1E 6BT, UK.
Mark SculpherCentre for Health Economics, University of York, York YO10 5DD, UK.

Funding

Department of Health CDF-2009-02-21Department of Health DRF-2012-05-409Department of Health RP-PG-0407-10314Medical Research Council MR/K006584/1Wellcome Trust 093830
6 · The paper itself

Abstract

aimsTo examine long-term healthcare utilization and costs of patients with stable coronary artery disease (SCAD). METHODS AND

resultsLinked cohort study of 94 966 patients with SCAD in England, 1 January 2001 to 31 March 2010, identified from primary care, secondary care, disease, and death registries. Resource use and costs, and cost predictors by time and 5-year cardiovascular disease (CVD) risk profile were estimated using generalized linear models. Coronary heart disease hospitalizations were 20.5% in the first year and 66% in the year following a non-fatal (myocardial infarction, ischaemic or haemorrhagic stroke) event. Mean healthcare costs were £3133 per patient in the first year and £10 377 in the year following a non-fatal event. First-year predictors of cost included sex (mean cost £549 lower in females), SCAD diagnosis (non-ST-elevation myocardial infarction cost £656 more than stable angina), and co-morbidities (heart failure cost £657 more per patient). Compared with lower risk patients (5-year CVD risk 3.5%), those of higher risk (5-year CVD risk 44.2%) had higher 5-year costs (£23 393 vs. £9335) and lower lifetime costs (£43 020 vs. £116 888).

conclusionPatients with SCAD incur substantial healthcare utilization and costs, which varies and may be predicted by 5-year CVD risk profile. Higher risk patients have higher initial but lower lifetime costs than lower risk patients as a result of shorter life expectancy. Improved cardiovascular survivorship among an ageing CVD population is likely to require stratified care in anticipation of the burgeoning demand.

Indexed as

CostsElectronic health recordsResource useStable coronary artery disease

Identifiers

PMID27042338
PMCPMC4816202

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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.