Temporal dynamics in laboratory medicine: cosinor analysis and real-world data (RWD) approaches to population chronobiology

Population-averaged profiles have advantages over data clouds in characterizing circadian rhythms and deriving circadian parameters. Population chronobiology, based on RWD, is presented as an alternative to classical individual chronobiology, based on time series and overcomes the limitations of direct methods. Utilizing RWD provides new insights into the relationship between chronobiology and clinical laboratory practice.

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Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2025-02-18
DOI
https://doi.org/10.1515/cclm-2024-1198
Citations
1
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
1.20
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article

Temporal dynamics in laboratory medicine: cosinor analysis and real-world data (RWD) approaches to population chronobiology

Xavier Tejedor-Ganduxé, Rubén Fossión, Fernándo Marqués-García, Cristina Martinez-Bravo
1 citations
Clinical Chemistry and Laboratory Medicine (CCLM)
Health, Environment, Cognitive Aging
1.20
article

Temporal dynamics in laboratory medicine: cosinor analysis and real-world data (RWD) approaches to population chronobiology

Xavier Tejedor-Ganduxé, Rubén Fossión, Fernándo Marqués-García, Cristina Martinez-Bravo
article en
1 citations

Abstract

Population-averaged profiles have advantages over data clouds in characterizing circadian rhythms and deriving circadian parameters. Population chronobiology, based on RWD, is presented as an alternative to classical individual chronobiology, based on time series and overcomes the limitations of direct methods. Utilizing RWD provides new insights into the relationship between chronobiology and clinical laboratory practice.

Clinical Chemistry and Laboratory Medicine (CCLM)Vol. 63(7)
Hospital Universitari Germans Trias i Pujol (ES), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 26%
Health, Environment, Cognitive Aging
1.20
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