Evidence map›Paper›PMID 38841615›Full record

ArticleThe EPMA journal2024

Digital biomarkers: 3PM approach revolutionizing chronic disease management - EPMA 2024 position.

Ivica Smokovski, Nanette Steinle, Andrew Behnke, Sonu M M Bhaskar, Godfrey Grech, Kneginja Richter, Günter Niklewski, Colin Birkenbihl, Paolo Parini, Russell J Andrews and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The EPMA journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Automotive Health 2.0: Steering Toward Proactive Preventive Care.Mayo Clinic proceedings. Digital health · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ivica SmokovskiUniversity Clinic of Endocrinology, Diabetes and Metabolic Disorders, Skopje, North Macedonia.
Nanette SteinleVeteran Affairs Capitol Health Care Network, Linthicum, MD USA.
Andrew BehnkeEndocrinology Section, Carilion Clinic, Roanoke, VA USA.
Sonu M M BhaskarDepartment of Neurology, Division of Cerebrovascular Medicine and Neurology, National Cerebral and Cardiovascular Centre (NCVC), Suita, Osaka Japan.
Godfrey GrechDepartment of Pathology, Faculty of Medicine & Surgery, University of Malta, Msida, Malta.
Kneginja RichterFaculty of Medical Sciences, University Goce Delcev, Stip, North Macedonia.
Günter NiklewskiUniversity Clinic for Psychiatry and Psychotherapy, Paracelsus Medical University, Nuremberg, Germany.
Colin BirkenbihlDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA.
Paolo PariniCardio Metabolic Unit, Department of Medicine Huddinge, and Department of Laboratory Medicine, Karolinska Institute, and Medicine Unit of Endocrinology, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden.
Russell J AndrewsNanotechnology & Smart Systems Groups, NASA Ames Research Center, Aerospace Medical Association, Silicon Valley, CA USA.
Howard BauchnerBoston University Chobanian & Avedisian School of Medicine, Boston, MA USA.
Olga GolubnitschajaPredictive, Preventive and Personalized (3P) Medicine, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-communicable chronic diseases (NCDs) have become a major global health concern. They constitute the leading cause of disabilities, increased morbidity, mortality, and socio-economic disasters worldwide. Medical condition-specific digital biomarker (DB) panels have emerged as valuable tools to manage NCDs. DBs refer to the measurable and quantifiable physiological, behavioral, and environmental parameters collected for an individual through innovative digital health technologies, including wearables, smart devices, and medical sensors. By leveraging digital technologies, healthcare providers can gather real-time data and insights, enabling them to deliver more proactive and tailored interventions to individuals at risk and patients diagnosed with NCDs. Continuous monitoring of relevant health parameters through wearable devices or smartphone applications allows patients and clinicians to track the progression of NCDs in real time. With the introduction of digital biomarker monitoring (DBM), a new quality of primary and secondary healthcare is being offered with promising opportunities for health risk assessment and protection against health-to-disease transitions in vulnerable sub-populations. DBM enables healthcare providers to take the most cost-effective targeted preventive measures, to detect disease developments early, and to introduce personalized interventions. Consequently, they benefit the quality of life (QoL) of affected individuals, healthcare economy, and society at large. DBM is instrumental for the paradigm shift from reactive medical services to 3PM approach promoted by the European Association for Predictive, Preventive, and Personalized Medicine (EPMA) involving 3PM experts from 55 countries worldwide. This position manuscript consolidates multi-professional expertise in the area, demonstrating clinically relevant examples and providing the roadmap for implementing 3PM concepts facilitated through DBs.

Indexed as

Artificial intelligenceCancerCardiovascular diseasesChronic obstructive pulmonary diseaseDiabetesDigital biomarkersHealth economy and policyHealth protectionHealth risk assessmentHealth-to-disease transitionInnovative ecosystemMachine learningNon-communicable chronic diseasePerinatal asphyxiaPPPM / 3PMPredictive Preventive Personalized MedicinePrimary and secondary careSleep disordersWearable point-of-care devices

Identifiers

PMID38841615
PMCPMC11147994

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.