Evidence map›Paper›PMID 39644281›Full record

ArticleHealth technology assessment (Winchester, England)2024

Assessing long-term effectiveness and cost-effectiveness of statin therapy in the UK: a modelling study using individual participant data sets.

Borislava Mihaylova, Runguo Wu, Junwen Zhou, Claire Williams, Iryna Schlackow, Jonathan Emberson, Christina Reith, Anthony Keech, John Robson, Richard Parnell and 4 more

Abstract read
In one paragraph

Article in Health technology assessment (Winchester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

14 authors.

Borislava MihaylovaHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-0951-1304
Runguo WuHealth Economics and Policy Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0002-6523-5754
Junwen ZhouHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-6812-0944
Claire WilliamsHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-3005-1541
Iryna SchlackowHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-4154-1431
Jonathan EmbersonClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-7792-9422
Christina ReithClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-7448-9847
Anthony KeechNHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-9426-9136
John RobsonClinical Effectiveness Group, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID 0000-0001-6889-0415
Richard ParnellPatient and public representative, Havant, UK.
Jane ArmitageClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0001-8691-9226
Alastair GrayHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-0239-7278
John SimesNHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia.
Colin BaigentClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-4856-7420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease has declined but remains a major disease burden across developed countries. Objective: To assess the effectiveness and cost-effectiveness of statin therapy across United Kingdom population categories. Design: The cardiovascular disease microsimulation model, developed using Cholesterol Treatment Trialists' Collaboration data and the United Kingdom Biobank cohort, projected cardiovascular events, mortality, quality of life and healthcare costs using participant characteristics. Setting: United Kingdom primary health care. Participants: A total of 117,896 participants in 16 statin trials in the Cholesterol Treatment Trialists' Collaboration; 501,854 United Kingdom Biobank participants by previous cardiovascular disease status, sex, age (40-49, 50-59 and 60-70 years), 10-year cardiovascular disease risk [QRISK Interventions: Lifetime standard (35-45% low-density lipoprotein cholesterol reduction) or higher-intensity (≥ 45% reduction) statin. Main outcome measures: Quality-adjusted life-years and incremental cost per quality-adjusted life-year gained from the United Kingdom healthcare perspective. Data sources: Cholesterol Treatment Trialists' Collaboration and United Kingdom Biobank data informed risk equations. United Kingdom primary and hospital care data informed healthcare costs (2020-1 Great British pounds); £1.10 standard or £1.68 higher-intensity generic statin therapy per 28 tablets; and Health Survey for England data informed health-related quality of life. Meta-analyses of trials and cohort studies informed the effects of statin therapies on cardiovascular events, incident diabetes, myopathy and rhabdomyolysis. Results: Across categories of participants 40-70 years old, lifetime use of standard statin therapy resulted in undiscounted 0.20-1.09 quality-adjusted life-years gained per person, and higher-intensity statin therapy added a further 0.03-0.20 quality-adjusted life-years per person. Among participants aged ≥ 70 years, lifetime standard statin was estimated to increase quality-adjusted life-years by 0.24-0.70 and higher-intensity statin by a further 0.04-0.13 quality-adjusted life-years per person. Benefits were larger among participants at higher cardiovascular disease risk or with higher low-density lipoprotein cholesterol. Standard statin therapy was cost-effective across all categories of people 40-70 years old, with incremental costs per quality-adjusted life-year gained from £280 to £8530. Higher-intensity statin therapy was cost-effective at higher cardiovascular disease risk or higher low-density lipoprotein cholesterol. Both standard and higher-intensity statin therapies appeared to be cost-effective for people aged ≥ 70 years, with an incremental cost per quality-adjusted life-year gained of under £3500 for standard and under £11,780 for higher-intensity statin. Standard or higher-intensity statin therapy was certain to be cost effective in the base-case analysis at a threshold of £20,000 per quality-adjusted life-year. Statins remained cost-effective in sensitivity analyses. Limitations: The randomised evidence for effects of statin therapy is for about 5 years of treatment. There is limited randomised evidence of the effects of statin therapy in older people without previous cardiovascular disease. Conclusions: Based on the current evidence of the effects of statin therapy and modelled contemporary disease risks, low-cost statin therapy is cost-effective across all categories of men and women aged ≥ 40 years in the United Kingdom, with higher-intensity statin therapy cost-effective at higher cardiovascular disease risk or higher low-density lipoprotein cholesterol. Future work: Cholesterol Treatment Trialists' Collaboration has ongoing studies of effects of statin therapy using individual participant data from randomised statin trials. Ongoing large randomised controlled trials are studying the effects of statin therapy in people ≥ 70 years old. Future economic analyses should integrate the emerging new evidence. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/140/02) and is published in full in

Indexed as

Cardiovascular DiseasesCost-Benefit AnalysisHydroxymethylglutaryl-CoA Reductase InhibitorsQuality-Adjusted Life YearsAdultAgedFemaleHumansMaleMiddle AgedQuality of LifeUnited KingdomHydroxymethylglutaryl-CoA Reductase InhibitorsCARDIOVASCULAR DISEASESCOST-EFFECTIVENESS ANALYSISDECISION-ANALYTIC MODELDECISION SUPPORT TECHNIQUESHYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS

Identifiers

PMID39644281
PMCPMC11647556

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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.