CirrhosisADVANCENCT05782283
A Study to Detect Advanced Liver Disease Via AI-enabled Electrocardiogram
A study testing ACE (AI-Cirrhosis-ECG) 2.0 in people with Cirrhosis, run by Mayo Clinic at 1 site in United States.
Trial summary
The overall objectives of this study are to determine the effectiveness of ACE 2.0 model in early detection of advanced liver fibrosis, and to determine the acceptance and barriers for use of an AI-enabled algorithm for prediction of liver disease in primary care. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Cirrhosis
- What is being tested?
- ACE (AI-Cirrhosis-ECG) 2.0
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 248 participants
- Where
- 1 siteUnited States
- Study dates
- 18 Apr 2023to 1 Sep 2025
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Primary care clinicians (physicians, nurse practitioners, and physician assistants).
- Part of a team that cares for adult patients (≥18 years).
- Have the ability to order ECG.
- Consent will be obtained from primary care clinicians.
- Patients' data will be collected from electronic medical records (EMR).
- Adult patients (≥ 18 years) undergoing an ECG for any indication over a period of 6 months will be included.
Who cannot join
- Patients with known cirrhosis based on noninvasive fibrosis assessment tests, liver biopsy or complications of decompensated disease, or with a documented history of cirrhosis identified by clinical notes.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Early Detection of Advanced Liver Disease Via Artificial Intelligence-Enabled Electrocardiogram (Advance): A Pragmatic, Cluster-Randomized Clinical Trial
The overall objectives of this study are to determine the effectiveness of ACE 2.0 model in early detection of advanced liver fibrosis, and to determine the acceptance and barriers for use of an AI-enabled algorithm for prediction of liver disease in primary care.
Read the detailed description
A pragmatic, cluster randomized trial in 45 Mayo Clinic primary care practices will be conducted over a period of 6 months with 6 months of follow up. Care teams will be randomized 1:1 to intervention or usual care, stratified by region and patient volume. In the intervention arm, the DULCE score will be used to alert consenting providers to the likelihood of advanced liver disease with a recommendation for a FibroTest-ActiTest. The primary endpoint will be detection of advanced liver disease. Secondary outcomes will include completion of noninvasive fibrosis assessment tests and hepatology referral within 180 days of ECG, new diagnosis of liver disease stratified by etiology (nonalcoholic fatty liver disease, alcohol-associated liver disease, hepatitis C, and others) and severity (compensated with and without clinically-significant portal hypertension, and decompensated disease), initiation of prophylactic nonselective beta-blockers and imaging for hepatocellular carcinoma surveillance, according to published society guidelines. Post-study surveys to participating clinicians will be applied.
- Conditions
- Cirrhosis
- Being tested
- ACE (AI-Cirrhosis-ECG) 2.0
- Medical subject headings
- Fibrosis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ACE (AI-Cirrhosis-ECG) 2.0Device
An electrocardiogram (ECG) based artificial intelligence (AI) powered tool for detection of undiagnosed cirrhosis in primary care practices. And email alert is sent to providers which will display whether the ACE 2.0 result is positive or negative for the likelihood of advanced liver disease.
| Study group | Role | What they receive |
|---|---|---|
| Group 1: Usual Care Group-Clinicians | No intervention | Primary care providers will treat subject per standard of care |
| Group 2: Electrocardiogram AI Group-Clinicians | Experimental | The ACE (AI-Cirrhosis-ECG) 2.0 will be used to alert primary care providers to the likelihood of advanced liver disease with a recommendation for laboratory tests. Receives: Device: ACE (AI-Cirrhosis-ECG) 2.0 |
| Group 3: Usual Care Group-Patients | No intervention | Patients will receive standard of care |
| Group 4: Electrocardiogram AI Group-Patients | Experimental | Patients whose Clinician will be alerted by the ACE (AI-Cirrhosis-ECG) 2.0 to the likelihood of advanced liver disease with a recommendation for laboratory tests. Receives: Device: ACE (AI-Cirrhosis-ECG) 2.0 |
What is being measured
The primary outcome is the main question the study is designed to answer.
New Diagnosis of Advanced Chronic Liver Disease
The primary objective of this pragmatic trial is to validate a deep learning-based machine learning (ML) model for early detection of cirrhosis-associated signals on digitized ECG. The primary outcome is the number of participants with new diagnosis of advanced liver disease as assessed by a novel electrocardiogram-enabled convoluted neural network (CNN) compared to standard of care at 6 months.
Measured: 6 months
Secondary outcomes (1)
Number of Participants to Not Complete Recommended Testing
The secondary objective is to assess barriers for adoption of an AI-enabled algorithm for detection of liver disease in routine community clinical practice. Number of participants to not complete the recommended testing according to the electrocardiogram-enabled CNN.
Measured: 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted23 Mar 2023
- Study start18 Apr 2023
- Primary completion1 Sep 2025
- Study completion1 Sep 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for CirrhosisStudies of the same condition, open and under way.
- More trials run by Mayo ClinicThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 248 participants (actual)
Sponsor and investigators
- Lead sponsor
- Mayo Clinic
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Douglas (Doug) A. Simonetto, Mayo Clinic
- Investigators
- Douglas Simonetto, MD, Principal investigator, Mayo Clinic
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05782283
- Sponsor's protocol ID
- 22-009726
- Acronym
- ADVANCE
- Status last verified
- Aug 2026
- First submitted
- 8 Feb 2023
- Last updated
- 16 Oct 2026
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Calleri A, Yazarkan Y, Liu K, Kassmeyer BA, Lennon RJ, Rattan P, Seid A, Bernard ME, Singh G, Deyo-Svendsen ME, King G, Stacey SK, Olofson A, Allen A, Ahn JC, Friedman PA, Kamath PS, Attia ZI, Noseworthy PA, Shah VH, Rushlow D, Simonetto DA. Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care. NPJ Digit Med. 2026 May 9;9(1):553. doi: 10.1038/s41746-026-02718-y.
PubMed 42106573Simonetto DA, Rushlow D, Liu K, Calleri A, Kassmeyer BA, Lennon RJ, Rattan P, Bernard ME, Singh G, Deyo-Svendsen ME, King G, Stacey SK, Olofson A, Allen A, Ahn JC, Friedman PA, Kamath PS, Attia ZI, Noseworthy PA, Shah VH. Detection of undiagnosed liver cirrhosis via AI-enabled electrocardiogram: a pragmatic, cluster-randomized clinical trial. Nat Med. 2026 Jan;32(1):160-167. doi: 10.1038/s41591-025-04058-y. Epub 2025 Dec 17.
PubMed 41408416
Study at a glance
From the registry record, last updated by the sponsor on 16 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Early Detection of Advanced Liver Disease Via Artificial Intelligence-Enabled Electrocardiogram (Advance): A Pragmatic, Cluster-Randomized Clinical Trial
- ClinicalTrials.gov ID
- NCT05782283
- Acronym / sponsor ID
- ADVANCE / 22-009726
- Conditions
- Cirrhosis
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 248 participants (actual)
- Lead sponsor
- Mayo ClinicUniversity, hospital or other
- Study start
- 18 Apr 2023 (actual)
- Primary completion
- 1 Sep 2025 (actual)
- Study completion
- 1 Sep 2025 (actual)
- First posted
- 23 Mar 2023 (actual)
- Results
- Posted 16 Oct 2026
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The overall objectives of this study are to determine the effectiveness of ACE 2.0 model in early detection of advanced liver fibrosis, and to determine the acceptance and barriers for use of an AI-enabled algorithm for prediction of liver disease in primary care.
Detailed description
A pragmatic, cluster randomized trial in 45 Mayo Clinic primary care practices will be conducted over a period of 6 months with 6 months of follow up. Care teams will be randomized 1:1 to intervention or usual care, stratified by region and patient volume. In the intervention arm, the DULCE score will be used to alert consenting providers to the likelihood of advanced liver disease with a recommendation for a FibroTest-ActiTest. The primary endpoint will be detection of advanced liver disease. Secondary outcomes will include completion of noninvasive fibrosis assessment tests and hepatology referral within 180 days of ECG, new diagnosis of liver disease stratified by etiology (nonalcoholic fatty liver disease, alcohol-associated liver disease, hepatitis C, and others) and severity (compensated with and without clinically-significant portal hypertension, and decompensated disease), initiation of prophylactic nonselective beta-blockers and imaging for hepatocellular carcinoma surveillance, according to published society guidelines. Post-study surveys to participating clinicians will be applied.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| Group 1: Usual Care Group-Clinicians | No intervention | –Primary care providers will treat subject per standard of care |
| Group 2: Electrocardiogram AI Group-Clinicians | Experimental | Device: ACE (AI-Cirrhosis-ECG) 2.0The ACE (AI-Cirrhosis-ECG) 2.0 will be used to alert primary care providers to the likelihood of advanced liver disease with a recommendation for laboratory tests. |
| Group 3: Usual Care Group-Patients | No intervention | –Patients will receive standard of care |
| Group 4: Electrocardiogram AI Group-Patients | Experimental | Device: ACE (AI-Cirrhosis-ECG) 2.0Patients whose Clinician will be alerted by the ACE (AI-Cirrhosis-ECG) 2.0 to the likelihood of advanced liver disease with a recommendation for laboratory tests. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (6 listed)
- Primary care clinicians (physicians, nurse practitioners, and physician assistants).
- Part of a team that cares for adult patients (≥18 years).
- Have the ability to order ECG.
- Consent will be obtained from primary care clinicians.
- Patients' data will be collected from electronic medical records (EMR).
Key exclusion criteria (1 listed)
- Patients with known cirrhosis based on noninvasive fibrosis assessment tests, liver biopsy or complications of decompensated disease, or with a documented history of cirrhosis identified by clinical notes.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ACE (AI-Cirrhosis-ECG) 2.0An electrocardiogram (ECG) based artificial intelligence (AI) powered tool for detection of undiagnosed cirrhosis in primary care practices. And email alert is sent to providers which will display whether the ACE 2.0 result is positive or negative for the likelihood of advanced liver disease. | Device | Group 2: Electrocardiogram AI Group-Clinicians, Group 4: Electrocardiogram AI Group-Patients |
Primary outcome
New Diagnosis of Advanced Chronic Liver Disease
Time frame: 6 months
The primary objective of this pragmatic trial is to validate a deep learning-based machine learning (ML) model for early detection of cirrhosis-associated signals on digitized ECG. The primary outcome is the number of participants with new diagnosis of advanced liver disease as assessed by a novel electrocardiogram-enabled convoluted neural network (CNN) compared to standard of care at 6 months.
1 secondary outcome
Number of Participants to Not Complete Recommended Testing
Time frame: 6 months
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 Oct 2026.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Derived from this study: PubMed 42106573Calleri A, Yazarkan Y, Liu K, Kassmeyer BA, Lennon RJ, Rattan P, Seid A, Bernard ME, Singh G, Deyo-Svendsen ME, King G, Stacey SK, Olofson A, Allen A, Ahn JC, Friedman PA, Kamath PS, Attia ZI, Noseworthy PA, Shah VH, Rushlow D, Simonetto DA. Clinician engagement shapes the impact of AI-based ECG screening for chronic liver disease in primary care. NPJ Digit Med. 2026 May 9;9(1):553. doi: 10.1038/s41746-026-02718-y.
- Derived from this study: PubMed 41408416Simonetto DA, Rushlow D, Liu K, Calleri A, Kassmeyer BA, Lennon RJ, Rattan P, Bernard ME, Singh G, Deyo-Svendsen ME, King G, Stacey SK, Olofson A, Allen A, Ahn JC, Friedman PA, Kamath PS, Attia ZI, Noseworthy PA, Shah VH. Detection of undiagnosed liver cirrhosis via AI-enabled electrocardiogram: a pragmatic, cluster-randomized clinical trial. Nat Med. 2026 Jan;32(1):160-167. doi: 10.1038/s41591-025-04058-y. Epub 2025 Dec 17.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Douglas Simonetto, MD principal investigator
Mayo Clinic
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing ACE (AI-Cirrhosis-ECG) 2.0 in people with Cirrhosis, run by Mayo Clinic at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 16 Oct 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 16 Oct 2026). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
New Diagnosis of Advanced Chronic Liver Disease (time frame: 6 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05782283, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 Oct 2026.