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Cited by 417

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Biomarkers—A General Review

Aronson, Jeffrey K., Ferner, Robin E.·2017·Current Protocols in Pharmacology
DOI 10.1002/cpph.19
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Abstract

A biomarker is a biological observation that substitutes for and ideally predicts a clinically relevant endpoint or intermediate outcome that is more difficult to observe. The use of clinical biomarkers is easier and less expensive than direct measurement of the final clinical endpoint, and biomarkers are usually measured over a shorter time span. They can be used in disease screening, diagnosis, characterization, and monitoring; as prognostic indicators; for developing individualized therapeutic interventions; for predicting and treating adverse drug reactions; for identifying cell types; and for pharmacodynamic and dose‐response studies. To understand the value of a biomarker, it is necessary to know the pathophysiological relationship between the biomarker and the relevant clinical endpoint. Good biomarkers should be measurable with little or no variability, should have a sizeable signal to noise ratio, and should change promptly and reliably in response to changes in the condition or its therapy. © 2017 by John Wiley & Sons, Inc.

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Metadata

Authors
Aronson, J. K., & Ferner, R. E.
Venue
Current Protocols in Pharmacology
Publisher
Wiley
Published
2017-03
Volume
76
Issue
1
Pages
9.23.1-9.23.17
ISSN
  • 1934-8282 (ISSN-L)
  • 1934-8290
DOI
10.1002/cpph.19
OpenAlex
W2600611927
Cited by
417
References
34
FWCI
3.35
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.