Biological variation – reliable data is essential
Open accessAbstract
Biological variation (BV) data is a cornerstone in the interpretation of laboratory test results, being the basis for many of the decisions we make every day both in the laboratory and in clinical practise. Among the many applications is its use in diagnosis and monitoring of disease. Most typically this occurs when comparing a person’s level of the analyte of interest against a reference interval, based on the between-subject variation, CV G , or when comparing a change against the reference change value, based on the within-subject variation, CV I . Furthermore, BV data is probably the most commonly used approach for setting analytical quality specifications for bias, imprecision and total error for many laboratory constituents. General assumptions for the uses of BV data are that estimates are reliable, i.e., adequately collected and calculated, and that the estimates are representative for the specific population and setting for which they will be applied.
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Concerns about the quality of published biological variation data led the EFLM 1st Strategic Conference to indicate a need for new studies to generate biological variation estimates of required quality.
“Presentations at the EFLM 1st Strategic Conference, and several published reviews, af fi rmed doubts about quality of BV data in current use, leading to the conclusion that the utility of published data may be compromised [14 -18].”
From The European Biological Variation Study (EuBIVAS): a summary report (2022) · cites this paper as [17]
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Aarsand, A. K., Røraas, T., Fernandez-Calle, P., Ricos, C., Díaz-Garzón, J., Jonker, N., Perich, C., González-Lao, E., Carobene, A., Minchinela, J., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.281808 · Cited by 233 · see citing works
Self-citationQuality control review: implementing a scientifically based quality control system
Westgard, J. O., & Westgard, S. A. (2016) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563215597248 · Cited by 109 · see citing works
Aarsand, A. K., Díaz-Garzón, J., Fernandez-Calle, P., Guerra, E., Locatelli, M., Bartlett, W. A., Sandberg, S., Røraas, T., Ceriotti, F., Sølvik, U. Ø., et al. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.288415 · Cited by 105 · see citing works
Self-citationThe European Biological Variation Study (EuBIVAS): a summary report
Carobene, A., Aarsand, A. K., Bartlett, W. A., Coskun, A., Diaz-Garzon, J., Fernandez-Calle, P., Guerra, E., Jonker, N., Locatelli, M., Plebani, M., et al. (2022) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2021-0370 · Cited by 81 · see citing works
Self-citationReliability of biological variation data available in an online database: need for improvement
Carobene, A. (2015) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2014-1133 · Cited by 76 · see citing works
Carobene, A., Aarsand, A. K., Guerra, E., Bartlett, W. A., Coşkun, A., Díaz-Garzón, J., Fernandez-Calle, P., Jonker, N., Locatelli, M., Sandberg, S., et al. (2019) · Clinical Chemistry · doi:10.1373/clinchem.2019.304618 · Cited by 53 · see citing works
Self-citationCarobene, A., Guerra, E., Locatelli, M., Cucchiara, V., Briganti, A., Aarsand, A. K., Coşkun, A., Díaz-Garzón, J., Fernandez-Calle, P., Røraas, T., et al. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.07.043 · Cited by 47 · see citing works
Self-citationHarmonization initiatives in the generation, reporting and application of biological variation data
Aarsand, A. K., Røraas, T., Bartlett, W. A., Coşkun, A., Carobene, A., Fernandez-Calle, P., Jonker, N., Díaz-Garzón, J., Braga, F., & Sandberg, S. (2018) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2018-0058 · Cited by 46 · see citing works
Self-citationSystematic review of the biological variation data for diabetes related analytes
González-Lao, E., Corte, Z., Simón, M., Ricós, C., Coskun, A., Braga, F., Aarsand, A. K., Carobene, A., Bartlett, W. A., Boned, B., et al. (2019) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.10.031 · Cited by 44 · see citing works
Self-citationCritical review and meta-analysis of biological variation estimates for tumor markers
Marques-Garcia, F., Boned, B., González-Lao, E., Braga, F., Carobene, A., Coskun, A., Díaz-Garzón, J., Fernández-Calle, P., Perich, M. C., Simon, M., et al. (2022) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2021-0725 · Cited by 24 · see citing works
Self-citationBioVar: an online biological variation analysis tool.
Korkmaz, S., Zarasız, G., Göksülük, D., Senes, M., Sönmez, C., & Yucel, D. (2020) · Turkish Journal of Biochemistry · doi:10.1515/tjb-2019-0437 · Cited by 12 · see citing works
- Authors
- Aarsand, A. K., Røraas, T., & Sandberg, S.
- Affiliations
- Haraldsplass Diakonale Sykehus (NO)
- Corresponding author
- Aarsand, Aasne K.
- Venue
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Publisher
- Walter de Gruyter GmbH
- Published
- 2015-01-01
- Volume
- 53
- Issue
- 2
- Pages
- 153-4
- ISSN
- 1434-6621 (ISSN-L)
- 1437-4331
- OpenAlex
- W1997485962
- Cited by
- 36
- References
- 1
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 4 · 2018: 9 · 2017: 3 · 2016: 2 · 2015: 6
- FWCI
- 4.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Clinical Chemistry and Laboratory Medicine (CCLM) (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Scientific Measurement and Uncertainty Evaluation
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- biological variation, within-person variability, interindividual variability, reference change value, reference values, coefficient of variation, total error, reliability of estimates, disease surveillance
- MeSH terms
- Calcium, Humans
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