Algorithms to Improve the Accuracy of the Echocardiographic Report

NCT ID: NCT05778500

Last Updated: 2024-04-16

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

RECRUITING

Total Enrollment

3500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-09-30

Study Completion Date

2026-09-30

Brief Summary

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This observational study aims to improve the accuracy of the report of the echocardiographic study, making it more consistent with the current international guidelines and reducing the diagnostic mistakes in patients undergoing clinically -indicated echocardiography. The main questions it aims to answer are:

* can the addition of automated diagnostic algorithms help to improve the overall accuracy of the echocardiographic report?

Detailed Description

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Conditions

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Echocardiography

Study Design

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Observational Model Type

OTHER

Study Time Perspective

CROSS_SECTIONAL

Interventions

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COMPACS

We will modify the current version of the COMPACS software package to implement several guideline-derived algorithms to help the clinician to reduce diagnostic errors and increase the adherence to current guidelines

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Having undergone a clinically-indicated echocardiographic study

Exclusion Criteria

* Denial of the consensus to use individual clinical data for research purposes
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Medimatic S.R.L., Genova, Italy

UNKNOWN

Sponsor Role collaborator

Istituto Auxologico Italiano

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Istituto Auxologico Italiano IRCCS

Milan, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Luigi Badano, MD, Ph.D.

Role: CONTACT

+390261911 ext. 2319

Michele Tomaselli, M.D.

Role: CONTACT

+3902619111 ext. 2319

Facility Contacts

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Luigi Badano, PhD

Role: primary

+390261911 ext. 2319

Other Identifiers

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09J002

Identifier Type: -

Identifier Source: org_study_id

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