In Silico Trials of Surgical Interventions

NCT ID: NCT05853536

Last Updated: 2023-05-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

13977257 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-08-01

Study Completion Date

2024-08-01

Brief Summary

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The project aims to establish a database of cardiovascular patients using HES and linked mortality data. This database will be used to model trials in silico with the aim of informing the design of future cardiovascular trials in the United Kingdom.

Detailed Description

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Routinely collected health data such as National Health Service Hospital Episode Statistics (HES) contains a wealth of real-world longitudinal patient health data including demographics, diagnoses, procedures and other clinical information. These data can be used to address many of the existing challenges in the design and conduct of clinical trials by optimising trial design and simplifying the assessment of adherence, safety, and outcomes. When a trial concept is initiated, researchers may use HES data to explore the hypothesis and assess trial feasibility. The large-volume patient data enables a detailed understanding of the characteristics of the target patient populations and the estimation of the real-world treatment effects across different patient groups thus enabling identification of targeted populations for specific interventions. By tapping into this resource and using advanced statistical and machine learning methods, the investigators can emulate the trial and thus obtain the key trial parameters required for designing a clinical trial, minimise the number of assumptions imputed and make the design and development of clinical trials quicker, simpler, and more reliable.

Conditions

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Cardiovascular Diseases

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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Standard of Care

As recommended by treatment guidelines.

No interventions assigned to this group

Cardiovascular Intervention

Examples include:

* Cardiac surgery - Coronary artery bypass grafting (CABG), Repair and replacement of heart valve and other cardiovascular surgery including surgery on the thoracic aorta.
* On-pump / off-pump / minimally invasive bypass.
* Open / Transcatheter approach for valve replacement or repair.
* Open versus minimally invasive valve repair/ replacement.
* Procedural coronary revascularization Percutaneous Coronary Intervention.
* Closure of the left atrial appendage.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

\- The target trial protocol will be used to develop an emulated trial protocol, which will give the best approximation of the trial protocol, given the limitations and constraints of the observational data. To mimic an actual trial population, the target trial population will be matched with individual patient data from a historical trial, targeting the same population.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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King's College London

OTHER

Sponsor Role collaborator

University of Glasgow

OTHER

Sponsor Role collaborator

Cornell University

OTHER

Sponsor Role collaborator

Queen Mary University of London

OTHER

Sponsor Role collaborator

Newcastle University

OTHER

Sponsor Role collaborator

University of Bristol

OTHER

Sponsor Role collaborator

University of Leicester

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Gavin Murphy

Role: PRINCIPAL_INVESTIGATOR

University of Leicester

Locations

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Department of Cardiovascular Sciences, University of Leicester, Clinical Sciences Wing,

Leicester, Leicestershire, United Kingdom

Site Status

Countries

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United Kingdom

References

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Pathak S, Lai FY, Miksza J, Petrie MC, Roman M, Murray S, Dearling J, Perera D, Murphy GJ. Surgical or percutaneous coronary revascularization for heart failure: an in silico model using routinely collected health data to emulate a clinical trial. Eur Heart J. 2023 Feb 1;44(5):351-364. doi: 10.1093/eurheartj/ehac670.

Reference Type BACKGROUND
PMID: 36350978 (View on PubMed)

Other Identifiers

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0728UE

Identifier Type: -

Identifier Source: org_study_id

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