ArticleBMJ (Clinical research ed.)2002
Cost effectiveness analysis of different approaches of screening for familial hypercholesterolaemia.
Article in BMJ (Clinical research ed.), 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
64 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Cost-Effectiveness of Screening Strategies for Familial Hypercholesterolaemia: An Updated Systematic Review.PharmacoEconomics · 2024Pooled it
- Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis.BMJ open · 2017Pooled it
- Child-parent screening for familial hypercholesterolaemia: screening strategy based on a meta-analysis.BMJ (Clinical research ed.) · 2007Pooled it
- JBS 2: Joint British Societies' guidelines on prevention of cardiovascular disease in clinical practice.Heart (British Cardiac Society) · 2005Guideline
- Genomic and clinical predictors of cardiovascular disease in Familial dyslipidemia: risk stratification in Egyptian adolescents and young adults.Lipids in health and disease · 2025Article
- Brazilian Guideline on Dyslipidemias and Prevention of Atherosclerosis - 2025.Arquivos brasileiros de cardiologia · 2025Article
- Cost-effectiveness of universal genetic screening for familial hypercholesterolemia in young adults aged 18-40 years in China.BMC medicine · 2025Article
- Reporting Modifications from the IMPACT-FH Study Using the FRAME-IS.Public health genomics · 2025Article
- Case detection of familial hypercholesterolemia using various criteria during an annual health examination in the workplace.International journal of cardiology. Cardiovascular risk and prevention · 2024Article
- Comparison of Two Strategies for Hypercholesterolemia Detection through Point-of-Care Testing.Diagnostics (Basel, Switzerland) · 2024Article
- Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis.Health technology assessment (Winchester, England) · 2023Article
- Effect of causative genetic variants on atherosclerotic cardiovascular disease in heterozygous familial hypercholesterolemia patients.Frontiers in cardiovascular medicine · 2023Article
- Familial hypercholesterolemia in an Iranian family due to a mutation in the APOE gene (first case report).Journal of diabetes and metabolic disorders · 2022Article
- Review
- Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation.JMIR human factors · 2022Article
- From the patient to the population: Use of genomics for population screening.Frontiers in genetics · 2022Article
- The Impact of Proband Indication for Genetic Testing on the Uptake of Cascade Testing Among Relatives.Frontiers in genetics · 2022Article
- Cost-effectiveness of cascade genetic testing for familial hypercholesterolemia in the United States: A simulation analysis.American journal of preventive cardiology · 2021Article
- Association of Monogenic vs Polygenic Hypercholesterolemia With Risk of Atherosclerotic Cardiovascular Disease.JAMA cardiology · 2020Article
- Analysis of Differentially Expressed Genes and Molecular Pathways in Familial Hypercholesterolemia Involved in Atherosclerosis: A Systematic and Bioinformatics Approach.Frontiers in genetics · 2020Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the cost effectiveness of strategies to screen for and treat familial hypercholesterolaemia.
designCost effectiveness analysis. A care pathway for each patient was delineated and the associated probabilities, benefits, and costs were calculated.
participantsSimulated population aged 16-54 years in England and Wales.
interventionsIdentification and treatment of patients with familial hypercholesterolaemia by universal screening, opportunistic screening in primary care, screening of people admitted to hospital with premature myocardial infarction, or tracing family members of affected patients.
main outcome measureCost effectiveness calculated as cost per life year gained (extension of life expectancy resulting from intervention) including estimated costs of screening and treatment.
resultsTracing of family members was the most cost effective strategy (3097 pounds sterling (euros 5066, $4479) per life year gained) as 2.6 individuals need to be screened to identify one case at a cost of 133 pounds sterling per case detected. If the genetic mutation was known within the family then the cost per life year gained (4914 pounds sterling ) was only slightly increased by genetic confirmation of the diagnosis. Universal population screening was least cost effective (13 029 pounds sterling per life year gained) as 1365 individuals need to be screened at a cost of 9754 pounds sterling per case detected. For each strategy it was more cost effective to screen younger people and women. Targeted strategies were more expensive per person screened, but the cost per case detected was lower. Population screening of 16 year olds only was as cost effective as family tracing (2777 pounds sterling with a clinical confirmation).
conclusionsScreening family members of people with familial hypercholesterolaemia is the most cost effective option for detecting cases across the whole population.
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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.