Evidence map›Paper›PMID 29405771›Full record

ReviewExperimental biology and medicine (Maywood, N.J.)2018

Biomarker definitions and their applications.

Robert M Califf

Registry-linked trialAbstract readReview
In one paragraph

Review in Experimental biology and medicine (Maywood, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07180485 (The Effectiveness of Whole Body Vibration Training in Improving Brain Activity, Bone Mineral Density, Quality of Life, and Biomarkers for the Older People With Dynapenic Abdominal Obesity), which is not on this map. Cited by 698 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
698citing papers in PubMed, 12 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.

NCT07180485 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Effectiveness of Whole Body Vibration Training in Improving Brain Activity, Bone Mineral Density, Quality of Life, and Biomarkers for the Older People With Dynapenic Abdominal Obesity

TypeinterventionalSponsorDalin Tzu Chi General HospitalRan2025 to 2027Enrolled120ConditionsDynapenia, Abdominal ObesityArmswhole body vibration training, control group
3 · Its place in the literature

Who cites it

698 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  7. Systematic Review with Meta-Analysis of Biofluid Markers for Huntington's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025
    Pooled it
  8. Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis.Autism research : official journal of the International Society for Autism Research · 2025
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638 more citing papers are in PubMed but not listed here.

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

1 author.

Robert M Califf1 12277 School of Medicine, Duke University , Durham, NC 27710, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are critical to the rational development of medical therapeutics, but significant confusion persists regarding fundamental definitions and concepts involved in their use in research and clinical practice, particularly in the fields of chronic disease and nutrition. Clarification of the definitions of different biomarkers and a better understanding of their appropriate application could result in substantial benefits. This review examines biomarker definitions recently established by the U.S. Food and Drug Administration and the National Institutes of Health as part of their joint Biomarkers, EndpointS, and other Tools (BEST) resource. These definitions are placed in context of their respective uses in patient care, clinical research, or therapeutic development. We explore the distinctions between biomarkers and clinical outcome assessments and discuss the specific definitions and applications of diagnostic, monitoring, pharmacodynamic/response, predictive, prognostic, safety, and susceptibility/risk biomarkers. We also explore the implications of current biomarker development trends, including complex composite biomarkers and digital biomarkers derived from sensors and mobile technologies. Finally, we discuss the challenges and potential benefits of biomarker-driven predictive toxicology and systems pharmacology, the need to ensure quality and reproducibility of the science underlying biomarker development, and the importance of fostering collaboration across the entire ecosystem of medical product development. Impact statement Biomarkers are critical to the rational development of medical diagnostics and therapeutics, but significant confusion persists regarding fundamental definitions and concepts involved in their use in research and clinical practice. Clarification of the definitions of different biomarker classes and a better understanding of their appropriate application could yield substantial benefits. Biomarker definitions recently established in a joint FDA-NIH resource place different classes of biomarkers in the context of their respective uses in patient care, clinical research, or therapeutic development. Complex composite biomarkers and digital biomarkers derived from sensors and mobile technologies, together with biomarker-driven predictive toxicology and systems pharmacology, are reshaping development of diagnostic and therapeutic technologies. An approach to biomarker development that prioritizes the quality and reproducibility of the science underlying biomarker development and incorporates collaborative regulatory science involving multiple disciplines will lead to rational, evidence-based biomarker development that keeps pace with scientific and clinical need.

Indexed as

Biomarkers, PharmacologicalBiomarkersDisease SusceptibilityHumansNational Institutes of Health (U.S.)Outcome Assessment, Health CarePatient CareTreatment OutcomeUnited StatesUnited States Food and Drug AdministrationBiomarkersBiomarkers, PharmacologicalBiomarkerscardiovascularepidemiologymedicinemonitoringpharmacology/toxicology

Identifiers

PMID29405771
PMCPMC5813875

What OpenQuestion holds

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Registered trials

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.