Personalised medicine (PM) aims at delivering each patient (or subgroup of patients) healthcare strategies best adapted to their individual characteristics. PM requires novel methodological approaches made possible due to high throughput data generation technology and subsequent stratification of patients into homogenous clusters through conventional or machine learning stratification. However, scientific excellence and the validation by health authorities of results from clinical research are essential for those results to be integrated into routine care in a safe and reliable way. Guidelines and best practices that can help to ensure results from research in this field can be accepted as valid and reproducible are needed, so that all stakeholders (regulators, researchers, scientific journals, clinicians, funders, patients, HTAs and more) can safely adopt and integrate results from PM research into healthcare practice.
The objective of the PERMIT Consortium was to provide, in collaboration with all the relevant stakeholders, recommendations on research methods to ensure that PM research programmes (from stratification cohorts to clinical trials) are robust and that they produce reliable results.
The project began by analysing the existing scientific and grey literature to identify and assess the existing methodologies that are used in PM research. Then, the gaps and areas where recommendations would be needed were identified. In the second year of the project a series of workshops, with consortium members and field experts took place. They addressed the gaps and through discussion and consensus developed a series of 71 recommendations. These recommendations cover the full PM research pipeline and can help all stakeholders involved in this pipeline when they design, execute, evaluate, finance, or publish PM research. These recommendations are subdivided into four sets, corresponding to the four stages of the pipeline detailed below. Finally, the project mobilized efforts to disseminate the recommendations and to facilitate their implementation.