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Ticagrelor for Secondary Prevention of Atherothrombotic Events After Myocardial Infarction: An Evidence Review Group Perspective of a NICE Single Technology Appraisal

Overview of attention for article published in PharmacoEconomics, January 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 policy source
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Citations

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2 Dimensions

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56 Mendeley
Title
Ticagrelor for Secondary Prevention of Atherothrombotic Events After Myocardial Infarction: An Evidence Review Group Perspective of a NICE Single Technology Appraisal
Published in
PharmacoEconomics, January 2018
DOI 10.1007/s40273-017-0607-0
Pubmed ID
Authors

Xavier G. L. V. Pouwels, Robert Wolff, Bram L. T. Ramaekers, Anoukh Van Giessen, Shona Lang, Steve Ryder, Gill Worthy, Steven Duffy, Nigel Armstrong, Jos Kleijnen, Manuela A. Joore

Abstract

The National Institute for Health and Care Excellence (NICE) invited AstraZeneca, the manufacturer of ticagrelor (Brilique®), to submit evidence on the clinical and cost effectiveness of ticagrelor 60 mg twice daily (BID) in combination with low-dose aspirin [acetylsalicylic acid (ASA)] compared with ASA only for secondary prevention of atherothrombotic events in patients with a history of myocardial infarction (MI) and who are at increased risk of atherothrombotic events. Kleijnen Systematic Reviews Ltd (KSR), in collaboration with Maastricht University Medical Centre+, was commissioned as the evidence review group (ERG). This paper summarises the company submission (CS), the ERG report and the NICE guidance produced by the appraisal committee (AC) for the use of ticagrelor in England and Wales. The ERG critically reviewed the clinical- and cost-effectiveness evidence in the CS. The systematic review conducted as part of the CS identified one randomised controlled trial (RCT), PEGASUS-TIMI 54. This trial reported the time to first occurrence of any event from the composite of cardiovascular death, MI and stroke as the primary outcome (hazard ratio 0.84 ticagrelor 60 mg BID vs. placebo, 95% confidence interval 0.74-0.95). The population addressed in the CS was a subgroup of the PEGASUS-TIMI 54 trial population, i.e. the 'base-case' population, which comprised patients who had experienced an MI between 1 and 2 years ago, whereas the full trial population included patients who had experienced an MI between 1 and 3 years ago. While the ERG believed the findings of this RCT to be robust, doubts concerning the applicability of the trial to UK patients were raised. The company submitted an individual patient simulation model to estimate the cost-effectiveness of ticagrelor 60 mg BID + ASA versus ASA only. Parametric time-to-event models were used to estimate the time to first and subsequent (cardiovascular) events, time to treatment discontinuation and time to adverse events. The company's base-case analysis resulted in an incremental cost-effectiveness ratio (ICER) of £20,098 per quality-adjusted life-year (QALY) gained. The main issues surrounding the cost effectiveness of ticagrelor 60 mg BID + ASA were the use of parametric time-to-event models estimated based on the full trial population instead of being fitted to the 'label' population (the 'label' population comprised the 'base-case' population and patients who started ticagrelor 60 mg BID within 1 year of previous adenosine diphosphate inhibitor treatment), the incorrect implementation of the probabilistic sensitivity analysis (PSA) of the individual patient simulation, and simplifications of the model structure that may have biased the health benefits and costs estimations of the intervention and comparator. The ERG believed the use of the full trial population to inform the parametric time-to-event models was not appropriate because the 'label' population was the main focus of the scope and CS. The ERG could not investigate the magnitude of the bias introduced by this assumption. The PSA of the individual patient simulation provided unreliable probabilistic results and underestimated the uncertainty surrounding the results because it was based on a single patient. The ERG used the cohort simulation presented in the cost-effectiveness model to perform its base-case and additional analyses and to obtain probabilistic results. The ERG amended the company cost-effectiveness model, which resulted in an ERG base-case ICER of £24,711 per QALY gained. In its final guidance, the AC recommended treatment with ticagrelor 60 mg BID + low-dose ASA for secondary prevention of atherothrombotic events in adults who have had an MI and are at increased risk of atherothrombotic events.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Master 8 14%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Student > Ph. D. Student 3 5%
Other 9 16%
Unknown 17 30%
Readers by discipline Count As %
Medicine and Dentistry 21 38%
Nursing and Health Professions 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Economics, Econometrics and Finance 3 5%
Psychology 2 4%
Other 4 7%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2020.
All research outputs
#7,032,838
of 23,016,919 outputs
Outputs from PharmacoEconomics
#806
of 1,862 outputs
Outputs of similar age
#143,907
of 441,922 outputs
Outputs of similar age from PharmacoEconomics
#22
of 43 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,862 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,922 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.