Evidence map›Paper›PMID 39240404›Full record

ArticleBiogerontology2024

Directionality theory and mortality patterns across the primate lineage.

Lloyd A Demetrius, Anand Sahasranaman, Martin Ziehe

Erratum issuedAbstract read
In one paragraph

Article in Biogerontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Lloyd A DemetriusDept. of Organismic and Evolutionary Biology, Harvard University, Cambridge, Mass, 02138, USA. ldemetr@oeb.harvard.edu.
Anand SahasranamanCentre for Complexity Science, Imperial College London, London, SW72AZ, UK. basking@gmail.com.
Martin ZieheFaculty of Forest Genetics and Forest Ecology, University of Gottingen, Busgenweg 2, 37077, Gottingen, Germany. m.ziehe@gwdg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Empirical studies of aging in primates show that local selective forces rather than phylogenetic history determine the exceptional nature of human longevity (Bronikowski et al., Science 331:1325-1328, 2011). This article proposes an evolutionary rationale for this pattern of primate mortality by invoking the parameter, Life-Table Entropy, a measure of the uncertainty in the life span of a randomly chosen newborn. Life-table entropy is positively correlated with maximal life span, that is, the mean life span of a species living under favourable conditions.The logic which underlies the exceptional nature of human longevity derives from the terrestrial life-history of humans - a singularity within the primate lineage; and the concomitant ecological constraints-the hunter-gatherer, agricultural, and industrial modes of subsistence, that have defined human evolutionary history. The effect of these ecological constraints on the evolution of life span is encoded in the Entropic Principle of Longevity: life-table entropy increases in equilibrium species, populations evolving in environments with stable, renewable resources; and decreases in opportunistic species, populations subject to fluctuating resource endowments.The Entropic Principle of Longevity is a derivative of Directionality Theory, an analytic study of the evolutionary process of variation and selection based on Evolutionary Entropy, a statistical measure of the uncertainty in the age of the mother of a randomly chosen newborn. Evolutionary entropy is the organizing concept of The Entropic Principle of Evolution: Evolutionary Entropy increases in equilibrium species and decreases in opportunistic species.

Indexed as

Biological EvolutionLongevityPrimatesAgingAnimalsEntropyHumansMortalityPhylogenyBiodemographyEvolutionEvolutionary entropyHominidPhylogenyPrimateSelection

Identifiers

PMID39240404
PMCPMC11486795

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Registered trials

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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.