Literature DB >> 16051280

The use of biomarkers in surveillance, medical screening, and intervention.

Paul A Schulte1.   

Abstract

Building on mechanistic information, much of molecular epidemiologic research has focused on validating biomarkers, that is, assessing their ability to accurately indicate exposure, effect, disease, or susceptibility. To be of use in surveillance, medical screening, or interventions, biomarkers must already be validated so that they can be used as outcomes or indicators that can serve a particular function. In surveillance, biomarkers can be used as indicators of hazard, exposure, disease, and population risk. However, to obtain rates for these measures, the population at risk will need to be assessed. In medical screening, biomarkers can serve as early indicators of disease in asymptomatic people. This allows for the identification of those who should receive diagnostic confirmation and early treatment. In intervention (which includes risk assessment and communication, risk management, and various prevention efforts), biomarkers can be used to assess the effectiveness of a prevention or control strategy as well as help determine whether the appropriate individuals are assigned to the correct intervention category. Biomarkers can be used to provide group and individual risk assessments that can be the basis for marshalling resources. Critical for using biomarkers in surveillance, medical screening, and intervention is the justification that the biomarkers can provide information not otherwise accessible by a less expensive and easier-to-obtain source of information, such as medical records, surveys, or vital statistics. The ability to use validated biomarkers in surveillance, medical screening, and intervention will depend on the extent to which a strategy for evidence-based procedures for biomarker knowledge transfer can be developed and implemented. This will require the interaction of researchers and decision-makers to collaborate on public health and medical issues.

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Year:  2005        PMID: 16051280     DOI: 10.1016/j.mrfmmm.2005.06.019

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  6 in total

Review 1.  A Review of Cutoffs for Nutritional Biomarkers.

Authors:  Ramkripa Raghavan; Fayrouz Sakr Ashour; Regan Bailey
Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

Review 2.  Cancer risk in the semiconductor industry: responding to the call for action.

Authors:  K A Mundt
Journal:  Occup Environ Med       Date:  2007-01       Impact factor: 4.402

3.  Cardiac Biomarkers Predict Long-term Survival After Cardiac Surgery.

Authors:  Niveditta Ramkumar; Jeffrey P Jacobs; Richard B Berman; Devin M Parker; Todd A MacKenzie; Donald S Likosky; Anthony DiScipio; David J Malenka; Jeremiah R Brown
Journal:  Ann Thorac Surg       Date:  2019-06-27       Impact factor: 4.330

Review 4.  Developing new treatments for Alzheimer's disease: the who, what, when, and how of biomarker-guided therapies.

Authors:  Constantine G Lyketsos; Christine A Szekely; Michelle M Mielke; Paul B Rosenberg; Peter P Zandi
Journal:  Int Psychogeriatr       Date:  2008-05-23       Impact factor: 3.878

5.  Molecular characterization of equine thymidine kinase 1 and preliminary evaluation of its suitability as a serum biomarker for equine lymphoma.

Authors:  Liya Wang; Lucia Unger; Hanan Sharif; Staffan Eriksson; Vinzenz Gerber; Henrik Rönnberg
Journal:  BMC Mol Cell Biol       Date:  2021-12-14

Review 6.  Genetic Factors Influencing Drug-Induced Liver Injury: Do They Have a Role in Prevention and Diagnosis?

Authors:  Kathleen E Clare; Michael H Miller; John F Dillon
Journal:  Curr Hepatol Rep       Date:  2017-08-07
  6 in total

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