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Smartphone Apps for Cardiovascular and Mental Health Care: Digital Cross-Sectional Analysis

Smartphone Apps for Cardiovascular and Mental Health Care: Digital Cross-Sectional Analysis

We hypothesized that only a minority of both cardiovascular care and mental health apps would be supported by evidence, that the majority of apps would share personal health data with third-party companies, and that cardiovascular care apps would be used in external devices more frequently than mental health apps.

Manjot Singh, Julian Herpertz, Noy Alon, Sarah Perret, John Torous, Daniel Kramer

JMIR Mhealth Uhealth 2025;13:e63642


Rural Perspectives on Digital Health in Cardiovascular Care: Qualitative Study of Interviews With Rural and Rural-Serving Primary Care Providers and Cardiologists

Rural Perspectives on Digital Health in Cardiovascular Care: Qualitative Study of Interviews With Rural and Rural-Serving Primary Care Providers and Cardiologists

Cardiovascular disease (CVD) is the leading cause of death in the rural United States and accounted for 1 in every 5 deaths in 2022 [1]. There are many ways to define rural in the United States, but rural areas are generally sparsely populated and located far from urban centers [2]. More than 2 decades of data show that rural Americans experience higher cardiovascular mortality rates than their urban counterparts [3,4].

Signe Burchim, Susan Miller, Kristin Beima-Sofie, Angela G Spencer, Brekken Selah, Elena Wadden, Adiya Jaffari, Monica Zigman Suchsland, Allison Cole, Steven Elrod, Margaret A Gehring, Ryan Gilles, Charles G Jose, Kelly McGrath, Russell T Baker, Chris T Longenecker

J Med Internet Res 2025;27:e77234


Hybrid Health IT and Telehealth–Delivered Behavioral Weight Loss Services for Primary Care Patients With Cardiovascular Risk Factors: Intervention Component Design and Pragmatic Randomized Feasibility Trial

Hybrid Health IT and Telehealth–Delivered Behavioral Weight Loss Services for Primary Care Patients With Cardiovascular Risk Factors: Intervention Component Design and Pragmatic Randomized Feasibility Trial

Moderate-intensity physical activity and just 10 to 15 pounds of weight loss can improve blood glucose, blood pressure, and cholesterol and reduce the need for medications to control those cardiovascular risk factors [1-6]. Achieving and maintaining weight loss is difficult, particularly if the environment surrounding individuals is not supportive of healthy eating and physical activity [7].

Ronald T Ackermann, Kenzie A Cameron, David T Liss, Nancy Dolan, Cassandra Aikman, Amy R Carson, Sterling A Harris, Kathryn Doyle, Andrew J Cooper, Brian Hitsman

JMIR Mhealth Uhealth 2025;13:e58722


Long-Term Feasibility and Outcomes of a Digital Health Program to Improve Liver Fat and Cardiometabolic Markers in Individuals With Nonalcoholic Fatty Liver Disease: Prospective Single-Arm Feasibility Study

Long-Term Feasibility and Outcomes of a Digital Health Program to Improve Liver Fat and Cardiometabolic Markers in Individuals With Nonalcoholic Fatty Liver Disease: Prospective Single-Arm Feasibility Study

At baseline, 89% of participants had obesity (BMI >30), 60% had type 2 diabetes mellitus, 75% had hypertension, 46% had hypercholesterolemia, and 40% had a history of cardiovascular disease. In total, 53% of participants reported taking antidiabetic medication, 85% antihypertensive medication, and 46% antilipidemic medication.

Sigridur Björnsdottir, Hildigunnur Ulfsdottir, Elias Freyr Gudmundsson, Bartosz Dobies, Kolbrun Sveinsdottir, Ari Pall Isberg, Gudlaug E A Magnusdottir, Thrudur Gunnarsdottir, Tekla Karlsdottir, Gudlaug Bjornsdottir, Sigurdur Sigurdsson, Saemundur Oddsson, Vilmundur Gudnason

JMIR Cardio 2025;9:e72074


Authors’ Response to Peer Reviews of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”

Authors’ Response to Peer Reviews of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”

The study relies heavily on self-reported cardiovascular complications, which may introduce reporting bias. While a subset of cases was validated via medical records, the proportion of validated cases is not explicitly stated, and the possibility of underreporting or overreporting remains. The reliance on self-reported cardiovascular complications may have introduced reporting bias into the study.

Masab Mansoor, Andrew Ibrahim

JMIRx Med 2025;6:e79672


Peer Review of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”

Peer Review of “Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study”

This significant and timely manuscript [1], which investigates the long-term cardiovascular complications in pediatric cancer survivors, has notable strengths, including its large cohort size, long-term follow-up, and utilization of a well-established dataset (Childhood Cancer Survivor Study). The methodology is generally sound, and the findings contribute meaningfully to our understanding of cardiotoxicity risks in childhood cancer survivors.

John Lucas Jr

JMIRx Med 2025;6:e79523


Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study

Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study

Among these late effects, cardiovascular complications have emerged as a leading cause of morbidity and mortality in childhood cancer survivors [2]. Cardiotoxicity, a term encompassing a spectrum of cardiovascular adverse effects, can manifest in various forms including cardiomyopathy, coronary artery disease, valvular heart disease, and arrhythmias [3].

Masab Mansoor, Andrew Ibrahim

JMIRx Med 2025;6:e65299


A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

As a proof of concept, we apply our framework to predict cardiovascular disease (CVD) outcomes, myocardial infarction (MI), and stroke, among people with type 2 diabetes (T2 D). With CVD being a leading cause of death in the United States, and patients with T2 D being at elevated risk of CVD, it is urgent to develop accurate and fair predictive models that generate clinically reasonable predictions [16-19].

Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

JMIR Med Inform 2025;13:e66200