ReviewMechanisms of ageing and development2016
Dynamics of biomarkers in relation to aging and mortality.
Review in Mechanisms of ageing and development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Erythrocyte Count, Anemia, and the Human Natural Lifespan Limit: Evidence from the Long Life Family Study.bioRxiv : the preprint server for biology · 2026Article
- Article
- Reclassification of the conventional risk assessment for aging-related diseases by electrocardiogram-enabled biological age.npj aging · 2025Article
- The Strehler-Mildvan correlation as a valuable tool for monitoring the long-term health status of a population.Frontiers in public health · 2025Article
- Effects of ashwagandha (Withania somnifera) root extract on aging-related changes in healthy geriatric dogs: A randomized, double-blinded placebo-controlled study.Veterinary medicine and science · 2024Article
- A biological age model based on physical examination data to predict mortality in a Chinese population.iScience · 2024Article
- Seven knowledge gaps in modern biogerontology.Biogerontology · 2024Article
- The Gompertz Law emerges naturally from the inter-dependencies between sub-components in complex organisms.Scientific reports · 2024Article
- Progress in the study of aging marker criteria in human populations.Frontiers in public health · 2024Review
- Understanding Alzheimer's disease in the context of aging: Findings from applications of stochastic process models to the Health and Retirement Study.Mechanisms of ageing and development · 2023Article
- Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.International journal of cardiology. Heart & vasculature · 2023Article
- Allostatic load in the context of disasters.Psychoneuroendocrinology · 2022Review
- Article
- Canine Geriatric Syndrome: A Framework for Advancing Research in Veterinary Geroscience.Frontiers in veterinary science · 2022Article
- Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease.BMC geriatrics · 2021Article
- Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Article
- Article
- Genetics of physiological dysregulation: findings from the long life family study using joint models.Aging · 2020Article
- Composite Measure of Physiological Dysregulation as a Predictor of Mortality: The Long Life Family Study.Frontiers in public health · 2020Article
- Composite Measures of Physical Fitness to Discriminate Between Healthy Aging and Heart Failure: The COmPLETE Study.Frontiers in physiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Contemporary longitudinal studies collect repeated measurements of biomarkers allowing one to analyze their dynamics in relation to mortality, morbidity, or other health-related outcomes. Rich and diverse data collected in such studies provide opportunities to investigate how various socio-economic, demographic, behavioral and other variables can interact with biological and genetic factors to produce differential rates of aging in individuals. In this paper, we review some recent publications investigating dynamics of biomarkers in relation to mortality, which use single biomarkers as well as cumulative measures combining information from multiple biomarkers. We also discuss the analytical approach, the stochastic process models, which conceptualizes several aging-related mechanisms in the structure of the model and allows evaluating "hidden" characteristics of aging-related changes indirectly from available longitudinal data on biomarkers and follow-up on mortality or onset of diseases taking into account other relevant factors (both genetic and non-genetic). We also discuss an extension of the approach, which considers ranges of "optimal values" of biomarkers rather than a single optimal value as in the original model. We discuss practical applications of the approach to single biomarkers and cumulative measures highlighting that the potential of applications to cumulative measures is still largely underused.
Indexed as
Identifiers
What OpenQuestion holds
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.