Trial reportNature medicine2024
Digital consults in heart failure care: a randomized controlled trial.
Trial report in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 3 registered trials, which are not on this map. Cited by 20 papers.
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.
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.
Assessment of Digital Consultations on Clinical Impact and Efficiency Using a RCT (ADMINISTER) Trial
Assessment of Digital Care on Clinical Impact and Efficiency Using a Stepped Wedge Cluster RCT in Heart Failure Patients: the ADMINISTER II Trial
TELEHEART Trial: Telemedicine-guided Uptitration of Therapy in Chronic Heart Failure
Who cites it
20 citing papers in PubMed.
- A village doctor-led mobile health intervention for cardiovascular risk reduction in rural China: cluster randomised controlled trial.BMJ (Clinical research ed.) · 2025Trial
- Partially Virtual vs In-Person Care in Cardiovascular Conditions-Time Trends, Patient Characteristics, and Medication Management: Cohort Study.Journal of medical Internet research · 2026Article
- Clinical Impact of Digital Health Interventions with Educational Components for Patients with Heart Failure: A Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2026Review
- Innovative strategies to reduce heart failure hospitalizations: insights from the ESC heart failure congress 2026.Heart failure reviews · 2026Review
- Observational
- Smart Technology, Fragile Hearts: Navigating AI's Challenges and Limitations in Heart Failure Management.Current heart failure reports · 2026Review
- A Pragmatic Low-Cost Digital Support Pathway for GDMT Optimization in Ambulatory HFrEF: An Exploratory 6-Month Matched Cohort Study.Healthcare (Basel, Switzerland) · 2026Article
- Remote digital intervention targeting heart failure medical therapy: a randomized controlled trial.Lancet regional health. Americas · 2026Article
- Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study.European heart journal. Digital health · 2026Article
- Changes in Clinician Telemedicine Use and Care Patterns for Patients With Heart Failure in the United States.Circulation. Population health and outcomes · 2026Article
- Digital Solutions in HF Education: What Can Patients and Clinicians Gain?Current heart failure reports · 2026Review
- Nationwide Heart Failure Telemonitoring: Disparities in Enrollment Based on Sex.JACC. Advances · 2026Article
- Article
- The Prognosis of Males and Females With Moderate or Severe Secondary Mitral Valve Regurgitation and Avenues for Improvement.Echocardiography (Mount Kisco, N.Y.) · 2025Article
- Deep Learning-Based Segmentation of Coronary Arteries and Stenosis Detection in X-Ray Coronary Angiography.JACC. Advances · 2025Article
- Advancing Heart Failure Care: Breakthroughs and Emerging Strategies.Journal of clinical medicine · 2025Review
- From reactive to proactive: Continuous protein monitoring for preventive health care.Science (New York, N.Y.) · 2025Review
- Telemonitored standardized titration for heart failure with reduced ejection fraction, an open clinical cohort study.European heart journal. Digital health · 2025Article
- Nurse-Led, Remote Optimisation of Guideline-Directed Medical Therapy in Patients with Heart Failure and Reduced Ejection Fraction Across Australia.Journal of clinical medicine · 2025Article
- Event Prediction in HFpEF Using Machine Learning: Will This Promising Model Be Applied in Practice?JACC. Asia · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Guideline-directed medical therapy (GDMT) has clear benefits on morbidity and mortality in patients with heart failure; however, GDMT use remains low. In the multicenter, open-label, investigator-initiated ADMINISTER trial, patients (n = 150) diagnosed with heart failure and reduced ejection fraction (HFrEF) were randomized (1:1) to receive usual care or a strategy using digital consults (DCs). DCs contained (1) digital data sharing from patient to clinician (pharmacotherapy use, home-measured vital signs and Kansas City Cardiomyopathy Questionnaires); (2) patient education via a text-based e-learning; and (3) guideline recommendations to all treating clinicians. All remotely gathered information was processed into a digital summary that was available to clinicians in the electronic health record before every consult. All patient interactions were standardly conducted remotely. The primary endpoint was change in GDMT score over 12 weeks (ΔGDMT); this GDMT score directly incorporated all non-conditional class 1 indications for HFrEF therapy with equal weights. The ADMINISTER trial met its primary outcome of achieving a higher GDMT in the DC group after a follow-up of 12 weeks (ΔGDMT score in the DC group: median 1.19, interquartile range (0.25, 2.3) arbitrary units versus 0.08 (0.00, 1.00) in usual care; P < 0.001). To our knowledge, this is the first multicenter randomized controlled trial that proves a DC strategy is effective to achieve GDMT optimization. ClinicalTrials.gov registration: NCT05413447 .
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What OpenQuestion holds
Registered trials
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.