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Federated Analysis With Differential Privacy in Oncology Research: Longitudinal Observational Study Across Hospital Data Warehouses

Federated Analysis With Differential Privacy in Oncology Research: Longitudinal Observational Study Across Hospital Data Warehouses

However, even if it has been identified as a next step in some oncology studies [5], to the best of our knowledge it has not been used on real-world oncology data. One possible reason for this can be that data harmonization is actually the sticking point, since it proves to be challenging on real-world data when not already done ahead of time. While FA ensures that sensitive data are never directly exposed, results from statistical queries can still leak some information from individuals.

Théo Ryffel, Perrine Créquit, Maëlle Baillet, Jason Paumier, Yasmine Marfoq, Olivier Girardot, Thierry Chanet, Ronan Sy, Louise Bayssat, Julien Mazières, Vincent Vuiblet, Julien Ancel, Maxime Dewolf, François Margraff, Camille Bachot, Jacek Chmiel

JMIR Med Inform 2025;13:e59685

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”

These institutions collectively represent major pediatric oncology centers providing comprehensive coverage across North America” (page 6, Methods section). 2. Missing answer for seventh objective: The answer to the seventh objective is unclear. Response: We appreciate this important observation. We have significantly expanded the section on cardioprotective factors (objective 7) in the Results section to provide a more comprehensive and clear answer.

Masab Mansoor, Andrew Ibrahim

JMIRx Med 2025;6:e79672

Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study

Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study

Anthracyclines, a class of chemotherapeutic agents widely used in pediatric oncology, are particularly associated with cardiotoxicity [5]. While their efficacy in treating various childhood cancers is well-established, the potential for long-term cardiac damage poses a significant challenge in balancing treatment efficacy with long-term health outcomes [6]. Radiation therapy, especially when the heart is within the treatment field, also contributes to increased cardiovascular risk in survivors [7].

Masab Mansoor, Andrew Ibrahim

JMIRx Med 2025;6:e65299

Practical Approaches to Patient-Centered Care in Europe: Mixed Methods Study Developing a Conceptual Framework for Comprehensive Cancer Care Networks

Practical Approaches to Patient-Centered Care in Europe: Mixed Methods Study Developing a Conceptual Framework for Comprehensive Cancer Care Networks

The search intentionally included studies beyond oncology, given that general research on patient centeredness is likely applicable to oncology as well. Restricting the search would have overlooked valuable literature. To ensure relevance and validity specific to oncology, we conducted the survey and focus groups with stakeholders from the cancer field. The initial search of the databank identified 121 records.

Emily Hickmann, Peggy Richter, Hannes Schlieter, Maja Cemazar, Dorota Dudek-Godeau, Nele Grapentin, Ellen Griesshammer, Marjetka Jelenc, Sigita Liutkauskiene, Alain Ravaud, Xavier Troussard, Simone Wesselmann

JMIR Cancer 2025;11:e59683

Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Using the initial phase of our pilot AI work as an exemplar, we outline strategies for leveraging AI and NLP in pediatric cancer inquiry, focusing on the process of building a team blending AI and clinical oncology research. Our transparent account details the formation of an interdisciplinary team bridging clinical oncology and data science, highlights challenges encountered, and shares lessons learned.

Clifton P Thornton, Maryam Daniali, Lei Wang, Spandana Makeneni, Allison Barz Leahy

JMIR Bioinform Biotech 2025;6:e70751

Digital Health Portals for Individuals Living With or Beyond Cancer: Patient-Driven Scoping Review

Digital Health Portals for Individuals Living With or Beyond Cancer: Patient-Driven Scoping Review

The complexity of oncology care, involving multidisciplinary teams, intensive treatments, and frequent clinical interactions, highlights the need for effective information management and communication systems. Patient portal can improve communication in complex context by promoting informational continuity, enhancing care coordination, and supporting engagement among individuals living with or beyond cancer [1-8].

Steven Ouellet, Florian Naye, Wilfried Supper, Chloé Cachinho, Marie-Pierre Gagnon, Annie LeBlanc, Marie-Claude Laferrière, Simon Décary, Maxime Sasseville

JMIR Cancer 2025;11:e72862

Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong

Previous studies have successfully applied these methods to identify clusters of symptoms [28], clinical prognostic features in oncology [29], and comorbidities with other chronic diseases [30]. In the second step, the study incorporated domain knowledge into the interpretation of the clusters [31,32].

Chun Sing Lam, Rong Hua, Herbert Ho-Fung Loong, Chun-Kit Ngan, Yin Ting Cheung

JMIR Cancer 2025;11:e71937

Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis

Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis

This paper examines how EHRs and other digital tools are used in practice to inform possible future improvements in applied digital technology to facilitate SDM in oncology consultations. Hence, the objective of this study was to explore how health care professionals use digital technology to support SDM in oncology consultations, understand the barriers to technology that support SDM in oncology consultations, and understand the opportunities for future technology to improve SDM in oncology consultations.

Alan Yung, Tim Shaw, Judy Kay, Anna Janssen

JMIR Cancer 2025;11:e70827