Evidence map›Paper›PMID 40668804›Full record

ArticlePloS one2025

In-silico trials of targeted screening for abdominal aortic aneurysms using linked healthcare data: A study protocol.

Liam Musto, Athanasios Saratzis, Mintu Nath, Emmanuel Katsogridakis, Ann Elsworth, Sylwia Bujkiewicz, Clark Hobson, Claire Lawson, Susan Wallace, Maria Gonzalez-Aguado and 5 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Liam MustoDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-7559-0063
Athanasios SaratzisDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-3399-094X
Mintu NathDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.
Emmanuel KatsogridakisDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.
Ann ElsworthDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.
Sylwia BujkiewiczBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-3003-9403
Clark HobsonSchool of Law, University of Leicester, Leicester, United Kingdom.
Claire LawsonDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.
Susan WallaceDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.
Maria Gonzalez-AguadoDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.
Aiden SmithBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Susan HodgsonMedicines and Healthcare Products Regulatory Agency, London, United Kingdom.
Guiqing Lily YaoDepartment of Health Sciences, University of Leicester, Leicester, United Kingdom.
José MiolaSchool of Law, University of Leicester, Leicester, United Kingdom.
Matthew J BownDepartment of Cardiovascular Sciences, NIHR Leicester Biomedical Research Centre and BHF Centre for Research Excellence, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe NHS abdominal aortic aneurysm (AAA) screening programme (NAAASP) is both clinically and economically effective. One of the main determinants of this effectiveness is disease prevalence. AAA prevalence is decreasing over time, steadily reducing the efficiency of the current NAAASP screening policy. One alternative to whole population screening is targeted screening of high-risk groups. Whether this would detect a clinically and publicly acceptable proportion of disease, and whether it would improve cost-effectiveness are unknown. The aim of this research is to estimate the clinical outcomes and cost-effectiveness of targeted AAA screening.

methodsRather than conducting an expensive and time-consuming randomized trial to directly test targeted screening, we will undertake in-silico trials of targeted AAA screening. To determine success criteria for in-silico trials, the ethics and issues around the acceptability of targeted screening will first be explored through focus groups and interviews. A qualitative evidence synthesis to identify issues associated with targeted screening will be used to establish themes and topic guides. To perform the in-silico trials, individual men's outcomes from the NAAASP (2013-2024, ≈ 2,500,000 men, ≈ 1% with AAA) will be linked to primary care data from the Clinical Practice Research Datalink (CPRD) (20% overlap of records). Risk factors for AAA will be identified by developing a risk prediction model and used as targeted screening criteria in in-silico trials, with diagnostic accuracy as the primary outcome. A discrete event simulation model will be adopted to extrapolate the trial findings beyond the observed period. We will estimate the clinical and cost-effectiveness of targeted screening compared with the current whole population screening strategy. Data linkage will be undertaken under Health Research Authority Confidentiality Advisory Group (Section 251) approval. Linked data will be effectively anonymised. Participants in the qualitative substudy will provide informed consent for participation. DISCUSSION: We expect this project to have a direct and significant impact on NHS, UK and worldwide AAA screening policies. The study findings will be submitted for publication in peer-reviewed journals and presented at scientific meetings.

Indexed as

Aortic Aneurysm, AbdominalMass ScreeningComputer SimulationCost-Benefit AnalysisHumansMale

Identifiers

PMID40668804
PMCPMC12266404

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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.