Evidence map›Paper›PMID 38187919›Full record

ArticleEcology and evolution2024

Effects of time spent in pregnancy or brooding on immunocompetence.

Vandana Revathi Venkateswaran, Chaitanya S Gokhale, Marc Mangel, Sigrunn Eliassen

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

Vandana Revathi VenkateswaranResearch Group for Theoretical Models of Eco-evolutionary Dynamics, Department of Evolutionary Theory Max Planck Institute for Evolutionary Biology Plön Germany.
Chaitanya S GokhaleResearch Group for Theoretical Models of Eco-evolutionary Dynamics, Department of Evolutionary Theory Max Planck Institute for Evolutionary Biology Plön Germany.
Marc MangelInstitute of Marine Sciences and Department of Applied Mathematics University of California Santa Cruz California USA.
Sigrunn EliassenTheoretical Ecology Group, Department of Biological Sciences University of Bergen Bergen Norway.
University of Bergen · NOMax Planck Institute for Evolutionary Biology · DEUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sexes of a species may show different characteristics beyond the differences in their sexual organs and such sexual dimorphism often occurs in the level of immune response when exposed to pathogens (immunocompetence). In general, females have increased longevity relative to males, which is associated with higher immunocompetence. However, males have higher immunocompetence in some species, such as pipefishes and seahorses. Experimental evidence suggests that this could be because males, rather than females, carry fertilized eggs to birth in these species. This observation suggests that an increase in immunocompetence may be related to the level of parental investment and not to a particular sex. We use state-dependent life-history theory to study optimal investment in offspring production relative to parent immunocompetence, varying the relative time that a parent spends in brooding or pregnancy within a breeding cycle. When offspring is dependent on a parent's survival for a large part of the breeding cycle, we predict higher investments in immunity and longer life expectancies.

Indexed as

immunocompetencemathematical modelingparental caresexual dimorphism

Identifiers

PMID38187919
PMCPMC10767163
OpenAlexW4390610004

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.