Reporting guidelines for precision medicine research of clinical relevance: the BePRECISE checklist.
Siew S LimZhila Semnani-AzadMario Luca MorieriAshley H NgAbrar AhmadHugo FitipaldiJacqueline BoyleChristian CollinRaphael SonabendClaudia LangenbergRuth J F LoosMelinda MorrisonMichelle RamsayArun J SanyalNaveed SattarMarie-France HivertMaria F GomezRuth J F LoosDeirdre K TobiasMichael I TrenellStephen S RichJennifer L SargentPaul W FranksPublished in: Nature medicine (2024)
Precision medicine should aspire to reduce error and improve accuracy in medical and health recommendations by comparison with contemporary practice, while maintaining safety and cost-effectiveness. The etiology, clinical manifestation and prognosis of diseases such as obesity, diabetes, cardiovascular disease, kidney disease and fatty liver disease are heterogeneous. Without standardized reporting, this heterogeneity, combined with the diversity of research tools used in precision medicine studies, makes comparisons across studies and implementation of the findings challenging. Specific recommendations for reporting precision medicine research do not currently exist. The BePRECISE (Better Precision-data Reporting of Evidence from Clinical Intervention Studies & Epidemiology) consortium, comprising 23 experts in precision medicine, cardiometabolic diseases, statistics, editorial and lived experience, conducted a scoping review and participated in a modified Delphi and nominal group technique process to develop guidelines for reporting precision medicine research. The BePRECISE checklist comprises 23 items organized into 5 sections that align with typical sections of a scientific publication. A specific section about health equity serves to encourage precision medicine research to be inclusive of individuals and communities that are traditionally under-represented in clinical research and/or underserved by health systems. Adoption of BePRECISE by investigators, reviewers and editors will facilitate and accelerate equitable clinical implementation of precision medicine.
Keyphrases
- healthcare
- cardiovascular disease
- adverse drug
- primary care
- type diabetes
- public health
- clinical practice
- mental health
- electronic health record
- quality improvement
- coronary artery disease
- insulin resistance
- health information
- machine learning
- risk assessment
- adipose tissue
- weight gain
- fatty acid
- physical activity
- cardiovascular risk factors
- social media