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STRONG AYA infrastructure integrates clinical data and patient-reported outcomes for adolescent and young adult oncologyNew European system helps doctors track young cancer patients' reported symptoms

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Key Takeaway
Note: This describes a data infrastructure framework; clinical utility and patient outcomes are not yet reported.

This methodological report describes the implementation of the STRONG AYA pan-European infrastructure, which connects regional population-based cancer registers like the Yorkshire Specialist Register of Cancer in Children and Young People. The system uses federated learning methodology and novel data visualization concepts to integrate a Core Outcome Set with clinical data and Patient Reported Outcomes into electronic healthcare records via PROMPT software. The infrastructure is designed for use with Adolescents and Young Adults with cancer.

The main reported functionality is that healthcare professionals can view the results of individual Patient Reported Outcomes at various time points and compare them to summary analyses. These analyses can be filtered by age, disease, country, and stage. No clinical outcomes, effect sizes, statistical results, or patient-level comparative data are presented in this report.

Safety and tolerability data were not reported. A key limitation noted is that the utility of population-based cancer registers in AYA oncology is constrained by the lack of AYA-specific data items. The authors suggest such analyses have potential for research, policy-making, and guiding patient consultations, but no validation or efficacy data for the infrastructure is provided. This remains a descriptive report of a technical framework without evidence of patient benefit.

Researchers have described a new data system being built across Europe for adolescents and young adults with cancer. The system, called STRONG AYA, connects information from cancer registries and allows doctors to see how individual patients report their symptoms and quality of life over time. It also lets doctors filter and compare this patient-reported data by factors like age, disease type, and country.

The work focuses on how a UK cancer registry contributes to this larger European project. The system uses a method called 'federated learning' to analyze data from different hospitals and countries without moving all the information to one central place. This aims to protect patient privacy while still allowing for large-scale analysis.

This report explains how the system is being set up and what it can do technically. It does not provide any results about whether using this system actually helps patients feel better, live longer, or receive better care. The main reason for caution is that this is a description of an infrastructure project, not a study of its effects. The authors note that cancer registries often lack specific data items needed for young adult cancer research.

Readers should understand that this is an early look at a new tool for organizing health data. While the researchers hope it will eventually improve research and guide patient consultations, its real-world usefulness for patients is not yet known. The next steps would involve testing whether this system leads to tangible improvements in care or outcomes for young people with cancer.

What this means for you:
A new data system for young cancer patients is being built in Europe, but its benefits for care are not yet proven.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background: Population-based cancer registers (PBCR) are important for monitoring trends in cancer epidemiology, facilitating the implementation of effective cancer services. Adolescents and Young Adult (AYA) with cancer are a patient group with a unique set of needs. The utility of PBCR in AYA is limited by the lack of AYA-specific data items. STRONG AYA, an international multidisciplinary consortium is addressing this through federated learning (FL) methodology and novel data visualisation concepts. A Core Outcome Set (COS) has been developed to measure outcomes of importance through clinical data and Patient Reported Outcomes (PROs). We describe how data from the Yorkshire Specialist Register of Cancer in Children and Young People (YSRCCYP), a PBCR in the UK is being used within STRONG AYA and how the subsequent analyses can guide patient consultations. Methods: Data from the YSRCCYP were imported into a Vantage 6 node, from which FL analyses are performed along with data provided by other consortium members. The results are extracted into the PROMPT software and integrated into patient electronic healthcare records. Results: Healthcare professionals can view the results of individual PROs at various time points and in comparison, to summary analyses carried out within the STRONG AYA infrastructure. Results can be filtered by age, disease, country and stage. Conclusion: We have demonstrated how a regional PBCR can contribute to a pan-European infrastructure and analyses viewed to enhance patient consultations. Such analyses have the potential to be used for research and policy-making, improving outcomes for AYA.
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