Evidence map›Paper›PMID 25602964›Full record

ArticleBritish journal of cancer2015

Costs of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system data.

P S Hall, P Hamilton, C T Hulme, D M Meads, H Jones, A Newsham, J Marti, A F Smith, H Mason, G Velikova and 2 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
26.1field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 66 citations in OpenAlex.

  1. Pooled it
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  4. A Systematic Literature Review of Health Utility Values in Breast Cancer.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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  7. Long-term costs associated with healthcare use of people with cancer in Scotland.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

12 authors at 5 institutions in 1 country.

P S Hall1] Academic Unit of Health Economics, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Woodhouse, Leeds LS2 9LJ, UK [2] St James Institute of Oncology, Leeds, Bexley Wing, St James University Hospital, Beckett Street, Leeds, West Yorkshire LS9 7TF, UK.
P HamiltonManchester Royal Infirmary, Manchester Institute of Nephrology and Transplantation, Oxford Road, Manchester M139WL, UK.
C T HulmeAcademic Unit of Health Economics, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Woodhouse, Leeds LS2 9LJ, UK.
D M MeadsAcademic Unit of Health Economics, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Woodhouse, Leeds LS2 9LJ, UK.
H JonesLeeds Institute of Cancer and Pathology, University of Leeds, Bexley Wing, St James University Hospital, Beckett Street, Leeds, West Yorkshire LS9 7TF, UK.
A NewshamLeeds Institute of Cancer and Pathology, University of Leeds, Bexley Wing, St James University Hospital, Beckett Street, Leeds, West Yorkshire LS9 7TF, UK.
J MartiAcademic Unit of Health Economics, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Woodhouse, Leeds LS2 9LJ, UK.
A F SmithAcademic Unit of Health Economics, University of Leeds, Charles Thackrah Building, 101 Clarendon Road, Woodhouse, Leeds LS2 9LJ, UK.
H MasonSheffield Teaching Hospitals NHS Foundation Trust, Herries Road, Sheffield, South Yorkshire S5 7AU, UK.
G VelikovaLeeds Institute of Cancer and Pathology, University of Leeds, Bexley Wing, St James University Hospital, Beckett Street, Leeds, West Yorkshire LS9 7TF, UK.
L AshleySchool of Social, Psychological and Communication Sciences, Faculty of Health and Social Sciences, Leeds Beckett University, Calverley Building, City Campus, Leeds LS1 3HE, UK.
P WrightLeeds Institute of Cancer and Pathology, University of Leeds, Bexley Wing, St James University Hospital, Beckett Street, Leeds, West Yorkshire LS9 7TF, UK.
University of Leeds · GBSt James's University Hospital · GBLeeds Beckett University · GBManchester Royal Infirmary · GBSheffield Teaching Hospitals NHS Foundation Trust · GB

Funding

Medical Research Council MR/L01629X/1
6 · The paper itself

Abstract

backgroundThe rising financial burden of cancer on health-care systems worldwide has led to the increased demand for evidence-based research on which to base reimbursement decisions. Economic evaluations are an integral component of this necessary research. Ascertainment of reliable health-care cost and quality-of-life estimates to inform such studies has historically been challenging, but recent advances in informatics in the United Kingdom provide new opportunities.

methodsThe costs of hospital care for breast, colorectal and prostate cancer disease-free survivors were calculated over 15 months from initial diagnosis of cancer using routinely collected data within a UK National Health Service (NHS) Hospital Trust. Costs were linked at patient level to patient-reported outcomes and registry-derived sociodemographic factors. Predictors of cost and the relationship between costs and patient-reported utility were examined.

resultsThe study population included 223 breast cancer patients, 145 colorectal and 104 prostate cancer patients. The mean 15-month cumulative health-care costs were £12 595 (95% CI £11 517-£13 722), £12 643 (£11 282-£14 102) and £3722 (£3263-£4208), per-patient respectively. The majority of costs occurred within the first 6 months from diagnosis. Clinical stage was the most important predictor of costs for all cancer types. EQ-5D score was predictive of costs in colorectal cancer but not in breast or prostate cancer.

conclusionIt is now possible to evaluate health-care cost using routine NHS data sets. Such methods can be utilised in future retrospective and prospective studies to efficiently collect economic data.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsColorectal NeoplasmsDatabases, FactualFemaleHealth StatusHospital CostsHumansMaleMiddle AgedProstatic NeoplasmsSurvival AnalysisUnited KingdomYoung Adult

Identifiers

PMID25602964
PMCPMC4453947
OpenAlexW2011521740

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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 OpenQuestion graph.