Potential barriers in lipid-lowering treatment with PCSK9 inhibitors from a healthsystem perspective. Comparative evidence from ten countries
Abstract
Background Gaps between clinical guidelines and attainment of LDL-C goals are evident across jurisdictions. Despite strong evidence of benefit from PCSK9-inhibitors (PCSK9i) treatment in eligible patients, significant underuse remains, suggesting considerable unmet need in clinical outcomes optimization. Purpose We investigated key performance endpoints across 10 countries to provide a comparative assessment of potential barriers in PCSK9i therapeutic integration from a healthcare system perspective. Methods We performed secondary analysis of peer-reviewed literature, health technology assessment reports, guidelines, clinical pathways since 2015 and constructed a comparative framework of pre-defined endpoints for 10 study countries (Japan, Italy, Spain, Australia, Canada, United Kingdom, Germany, France, Netherlands, USA). We identified 8 endpoints, which were clustered in 3 domains: (a) healthcare system characteristics, (b) demand-side policies, (c) medicine reimbursement policies, pertaining to cost-sharing. Approved PCSK9i indications were in scope. Results PCSK9i are reimbursed in all countries. Prescribing restrictions have been applied in all countries (Table 1). PCSK9i for primary prevention are reimbursed mainly in familial hypercholesterolemia, while additional criteria may apply depending on country and condition. PCSK9i are: (a) reserved mainly for very high- or high-risk cohorts (Japan, UK, Netherlands); (b) reimbursed for secondary prevention when additional ris…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The better implementation and persistence in European populations compared with the United States is likely attributable to health care system accessibility, cost-sharing structures, study design, and medication monitoring practices.
“likely attributable to health care system accessibility, cost-sharing structures, study design, and medication monitoring practices.119, 120, 121, 122, 123”
From Adherence to PCSK9 Inhibitors in Clinical Practice (2026) · cites this paper as [119]
Cited by
Sorted by citations
Adherence to PCSK9 Inhibitors in Clinical Practice
Blais, J. E., Zhong, W., Li, C. Y. V., Kongkaew, C., & Chan, A. H. Y. (2026) · JACC: Advances · doi:10.1016/j.jacadv.2026.102733 · Cited by 7 · see citing works
- Authors
- Apostolou, E. A., Main, C. A., Miracolo, A., Papadakis, K., Paparouni, K., & Kanavos, P. G.
- Affiliations
- London School of Economics and Political Science (GB)
- Amgen (Switzerland) (CH)
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2022-10-01
- Volume
- 43
- Issue
- Supplement_2
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W4306320315
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2022: 1
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Heart Journal (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Keywords
- PCSK9 inhibitors, lipid-lowering therapy, LDL cholesterol targets, health care reimbursement policy, prescribing restrictions, cost sharing, familial hypercholesterolemia, secondary prevention, primary prevention, specialist prescribing, prior authorization, health technology assessment, comparative health policy, guideline adherence, waiting time
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review