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NCT07524335 Aspirin Coronary Artery Disease Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

13 August 2026
8 min read

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Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07524335 using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, with Drug & Asset MCP and Company & Deal Intelligence MCP used as the companion asset and sponsor enrichment workflow. Explore PatSnap MCP Servers to reproduce the research sequence inside an AI workflow.

MCP evidence snapshot: 13 August 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.

Why NCT07524335 is a hot trial to watch

Coronary Artery Disease is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07524335 is notable because it evaluates Aspirin in a Phase 3 design sponsored by Montréal Heart Institute. The main development question is whether the protocol can translate its rationale into a clinically interpretable and operationally credible readout.

Trial landscape snapshot

FieldIndexed detail
RegistrationNCT07524335
Official titleAspirin in Subclinical Coronary Artery Disease: A Pilot Randomised Controlled Trial (ASCAD-P)
Phase / statusPhase 3 / Not yet recruiting
InterventionAspirin
SponsorMontréal Heart Institute
GeographyCanada
Enrollment[object Object]
Primary endpointMonthly Recruitment Rate
Endpoint time frame12 months following study enrollment initiation
Primary completion / readout proxy[object Object]

Protocol design and endpoint interpretation

In patients with subclinical coronary artery disease, the ASCAD-P study aims to assess the feasibility of a larger phase 3 pragmatic randomized controlled trial comparing prescription versus no prescription of low-dose aspirin in routine clinical practice.

Allocation is Randomized, masking is None (Open Label), and the intervention model is Parallel Assignment. Planned enrollment of [object Object] participants across Canada shapes statistical precision, execution risk and external validity. Interpretation should account for baseline risk, prior therapy, assessment schedule, missing-data handling and clinical relevance—not only statistical significance.

  • Monthly Recruitment Rate (12 months following study enrollment initiation) — Average monthly patient recruitment rate: 0 ≤ Mean rate (patients/month) \< 2 = study not feasible; 2 ≤ Mean rate (patients/month) \< 4 = study feasible with protocol modifications; ≥ 4 Mean rate (patients/month) = study feasible without major protocol modifications.

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Readout outlook and evidence gap

The current protocol points to [object Object] as the best available readout proxy. Because this is an active or newly posted study, a trial-specific result citation is not included until a normalized clinical-trial-result record becomes available. That gap is itself operationally important: teams should monitor first result indexing, conference abstracts, protocol amendments and changes to the primary-completion date.

Build a living trial monitor: connect to PatSnap MCP Servers and track recruitment, endpoint revisions, projected readouts and new result records without manually reconciling separate databases.

Asset and sponsor context

Drug & Asset MCP profile: Aspirin is indexed as No normalized modality returned, with target No normalized target returned, mechanism No normalized mechanism returned, and global highest development status No normalized global status returned.

Company & Deal Intelligence MCP profile: Montréal Heart Institute is resolved to a normalized organization record in Canada. The organization workflow adds identity, location, portfolio and partnering context where available.

The sponsor profile matters because scientific rationale alone does not determine development value. Manufacturing readiness, portfolio fit, geographic reach, partnering capacity and the ability to fund confirmatory development can determine whether a positive signal becomes a competitive asset.

White space around this program

  • Sharper patient selection: prospective biomarker or phenotype definitions that identify who is most likely to benefit.
  • Clinically interpretable endpoints: outcomes connecting activity with function, symptoms, survival or treatment burden.
  • Comparator relevance: evidence against the most decision-relevant contemporary standard of care.
  • Broader external validity: evidence across additional geographies, demographic groups and real-world settings.
  • Operational differentiation: a development path that closes the readout gap without sacrificing safety or durability.

What to monitor next

Monitor recruitment, enrollment changes, protocol amendments, endpoint hierarchy, primary-completion timing, first result indexing, asset ownership and sponsor partnerships. A change in endpoint, population or ownership can alter the probability of success before a headline data release.

Bottom line

NCT07524335 provides a focused lens on Coronary Artery Disease development. Its value will be determined by whether Aspirin can convert the current Phase 3 design into evidence that is clinically meaningful, operationally credible and differentiated from competing programs.

Ready to reproduce this analysis? Explore PatSnap MCP Servers and combine Clinical Trials, Drug & Asset, and Company & Deal Intelligence as reusable building blocks for trial monitoring and SEO-ready clinical reports.

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