Evidence map›Paper›PMID 21123273›Full record

ReviewProceedings. Biological sciences2011

Before senescence: the evolutionary demography of ontogenesis.

Daniel A Levitis

Abstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  6. Article
  7. Smoothing, Decomposing and Forecasting Mortality Rates.European journal of population = Revue europeenne de demographie · 2021
    Article
  8. Article
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  12. Article
  13. Article
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  15. Article
  16. Article
  17. Review
  18. Article
  19. Compression of Morbidity and Mortality: New Perspectives.North American actuarial journal : NAAJ · 2016
    Article
  20. Article
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

1 author.

Daniel A LevitisLaboratory of Evolutionary Biodemography, Max Planck Institute for Demographic Research, Rostock, Germany. levitis@demogr.mpg.de

Funding

TRAINING IN THE DEMOGRAPHY AND ECONOMICS OF AGINGT32AG000246 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 1995 to 2026
$4.6M
NIA NIH HHS T32 AG000246NIA NIH HHS T32-AG000246
6 · The paper itself

Abstract

The age-specific mortality curve for many species, including humans, is U-shaped: mortality declines with age in the developing cohort (ontogenescence) before increasing with age (senescence). The field of evolutionary demography has long focused on understanding the evolution of senescence while largely failing to address the evolution of ontogenescence. The current review is the first to gather the few available hypotheses addressing the evolution of ontogenescence, examine the basis and assumptions of each and ask what the phylogenetic extent of ontogenescence may be. Ontogenescence is among the most widespread of life-history traits, occurring in every population for which I have found sufficiently detailed data, in major groups throughout the eukaryotes, across many causes of death and many life-history types. Hypotheses seeking to explain ontogenescence include those based on kin selection, the acquisition of robustness, heterogeneous frailties and life-history optimization. I propose a further hypothesis, arguing that mortality drops with age because most transitions that could trigger the risks caused by genetic and developmental malfunctions are concentrated in early life. Of these hypotheses, only those that frame ontogenescence as an evolutionary by-product rather than an adaptation can explain the tremendous diversity of organisms and environments in which it occurs.

Indexed as

AgingBiological EvolutionLife TablesMortalityAdaptation, BiologicalAge FactorsAnimalsHumansPhylogenyRisk FactorsSelection, Genetic

Identifiers

PMID21123273
PMCPMC3049054

What OpenQuestion holds

Textmetadata
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.