Evidence map›Paper›PMID 33494482›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Aging and Allostasis: Using Bayesian Network Analytics to Explore and Evaluate Allostatic Markers in the Context of Aging.

Victor Kallen, Muhammad Tahir, Andrew Bedard, Bart Bongers, Natal van Riel, Nico van Meeteren

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 36% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Victor KallenDepartment of Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), PO Box 360, 3700 AJ Zeist, The Netherlands.ORCID 0000-0002-9554-2333
Muhammad TahirDepartment of Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), PO Box 360, 3700 AJ Zeist, The Netherlands.
Andrew BedardDepartment of Microbiology & Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), PO Box 360, 3700 AJ Zeist, The Netherlands.
Bart BongersThe Physical Activity and Nutrition INfluences In Ageing (PANINI) Consortium: School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Natal van RielThe Physical Activity and Nutrition INfluences In Ageing (PANINI) Consortium: School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.ORCID 0000-0001-9375-4730
Nico van MeeterenThe Physical Activity and Nutrition INfluences In Ageing (PANINI) Consortium: School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Netherlands Organisation for Applied Scientific Research · NLErasmus MC · NLMaastricht University · NLUniversity of Birmingham · GB

Funding

Horizon 2020 Framework Programme 675003
6 · The paper itself

Abstract

Allostatic load reflects the cumulative strain on organic functions that may gradually evolve into overt disease. Our aim was to evaluate the allostatic parameters in the context of aging, and identify the parameters that may be suitable for an allostatic load index for elderly people (>60 years). From previously published studies, 11 allostatic (bio)markers could be identified that sustain sufficient variability with aging to capture meaningful changes in health status. Based on reported statistics (prevalence of a biomarker and its associated outcome, and/or an odds/risk ratio relating these two), seven of these could be adopted in a Bayesian Belief Network (BBN), providing the probability of "disturbed" allostasis in any given elder. Additional statistical analyses showed that changes in IL-6 and BMI contributed the most to a "disturbed" allostasis, indicating their prognostic potential in relation to deteriorating health in otherwise generally healthy elderly. In this way, and despite the natural decline in variance that irrevocably alters the prognostic relevance of most allostatic (bio)markers with aging, it appeared possible to outline an allostatic load index specifically for the elderly. The allostatic parameters here identified might consequently be considered a useful basis for future quantitative modelling in the context of (healthy) aging.

Indexed as

agingallostasisallostatic loadallostatic load indexBayesian belief networkbiomarkersBMIelderlyIL-6

Identifiers

PMID33494482
PMCPMC7912325
OpenAlexW3125005917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.