Definitions of digital biomarkers: a systematic mapping of the biomedical literature
Macias Alonso, A. K.; Hirt, J.; Woelfle, T.; Janiaud, P.; Hemkens, L. G.
Show abstract
BackgroundTechnological devices such as smartphones, wearables, sensors, or virtual assistants allow to collect data on health and disease processes and are thus increasingly considered a useful digital alternative to conventional biomarkers. We aimed to provide a systematic overview of the emerging literature on "digital biomarkers" with their definitions, features, and citations in biomedical research. MethodsWe analyzed all articles in PubMed that used the term "digital biomarker(s)" in title or abstract, considering any study involving humans and any review, editorial, perspective, or other opinion-based article up to 8 March 2023. We systematically extracted characteristics of publications and research studies, and any definitions and features of "digital biomarkers" mentioned. We described the most influential literature on digital biomarkers and their definitions using thematic categorizations of definitions considering the FDA BEST framework (i.e., data type, data collection method, purpose of biomarker), analysing the structural similarity of definitions by performing text analyses (hierarchical clustering on the distance-matrix) and citation analyses (based on citation metrics obtained from OpenAlex via Local Citation Network; last search 26 June 2023). FindingsWe identified 415 articles prominently using the term "digital biomarker". They were published between 2014 and 2023 (median 2021), mostly describing primary research (283 articles; 68%). Most articles did not provide a definition of a digital biomarker (n=287; 69%). The 128 articles providing a definition of a digital biomarker reported 127 different definitions. Of these 127 definitions, 78 considered data collection, 56 data type, 50 the purpose, and 23 were based on all three key components. The 128 articles with a definition were cited a median of 6 times (interquartile range 2-20) with up to 517 citations. Of the ten most frequently cited articles using a definition, all used a different one. InterpretationThe most frequently used definitions for digital biomarkers are highly different and there is no consensus about what this emerging term means. Our overview highlights key defining characteristics of digital biomarkers which can inform the development of a harmonized and more widely accepted definition. FundingNo specific funding.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Remote digital measurement of visual and auditory markers of Major Depressive Disorder severity and treatment response. 90%
- Using wearable and nearable devices in telerehabilitation for COPD: A review of digital endpoints in home-based programs 89%
- Building National Patient Registries in Mexico: Insights from the MexOMICS Consortium 89%
Similar papers in this journal
- Protocol for a scoping review of the impact of digital assistive technologies on the quality of life for people with dementia 91%
- Re-contacting biobank participants: lessons from a pilot study within FinnGen 90%
- Digital Health Technologies for Metabolic Disorders in Older Adults: A Scoping Review Protocol 90%
Similar papers in this journal
- Consensus study of risk factors and symptoms of SARS-CoV-2 (COVID-19) using biomedical literature and social media data 90%
- Uncovering social states in healthy and clinical populations using digital phenotyping and Hidden Markov Models 89%
- How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.