Evidence map›Paper›PMID 18926971›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2009

Decomposing health: tolerance and resistance to parasites in animals.

Lars Råberg, Andrea L Graham, Andrew F Read

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 366 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
366citing papers in PubMed, 2 pooled it
–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

366 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. SARS-CoV-2 virus infection ofbioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Review
  14. Parasite defense covaries with reproductive timing, not with resistance.bioRxiv : the preprint server for biology · 2026
    Article
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  16. Review
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  18. Article
  19. Article
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306 more citing papers are in PubMed but not listed here.

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

3 authors.

Lars RåbergDepartment of Animal Ecology, Lund University, Ecology Building, 223 63 Lund, Sweden. lars.raberg@zooekol.lu.se
Andrea L Graham
Andrew F Read

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Plant biologists have long recognized that host defence against parasites and pathogens can be divided into two conceptually different components: the ability to limit parasite burden (resistance) and the ability to limit the harm caused by a given burden (tolerance). Together these two components determine how well a host is protected against the effects of parasitism. This distinction is useful because it recognizes that hosts that are best at controlling parasite burdens are not necessarily the healthiest. Moreover, resistance and tolerance can be expected to have different effects on the epidemiology of infectious diseases and host-parasite coevolution. However, studies of defence in animals have to date focused on resistance, whereas the possibility of tolerance and its implications have been largely overlooked. The aim of our review is to (i) describe the statistical framework for analysis of tolerance developed in plant science and how this can be applied to animals, (ii) review evidence of genetic and environmental variation for tolerance in animals, and studies indicating which mechanisms could contribute to this variation, and (iii) outline avenues for future research on this topic.

Indexed as

AnimalsEnvironmentGenetic VariationHost-Parasite InteractionsImmune ToleranceMiceMice, KnockoutModels, Immunological

Identifiers

PMID18926971
PMCPMC2666700

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.