Decision making for health-related research outcomes that alter diagnosis: A model from paediatric brain tumours.
Jessica C PicklesKristian AquilinaJane ChalkerChristine DahlAbel DevadassKshitij MankadAshirwad MerveMunaza AhmedJames A R NicollTabitha BloomDavid A HiltonNeil J SebireDarren HargraveThomas S JacquesPublished in: Neuropathology and applied neurobiology (2024)
Ethical issues relating to the use of archival tissue for research and the potential to identify actionable findings must be carefully considered. We have established a structured framework to assess the actionability of research data relating to patient diagnosis. While our specific findings are most applicable to the pathology of poor prognostic brain tumour groups in children, the model can be adapted to a range of disease settings, for example, other diseases where research is dependent on retrospective tissue cohorts, and research findings may have implications for patients and families, such as other tumour types, epilepsy-related pathology, genetic disorders and degenerative diseases.
Keyphrases
- decision making
- end stage renal disease
- white matter
- ejection fraction
- newly diagnosed
- resting state
- chronic kidney disease
- young adults
- emergency department
- intensive care unit
- prognostic factors
- case report
- machine learning
- cerebral ischemia
- dna methylation
- blood brain barrier
- risk assessment
- skeletal muscle
- insulin resistance