Evidence map›Paper›PMID 26302775›Full record

ReviewParasitology2016

The adaptive evolution of virulence: a review of theoretical predictions and empirical tests.

Clayton E Cressler, David V McLEOD, Carly Rozins, Josée VAN DEN Hoogen, Troy Day

Abstract readReview
In one paragraph

Review in Parasitology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 1 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

169 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Delayed Pathogenicity inMicroorganisms · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Superspreading and the evolution of virulence.PLoS computational biology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

109 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

5 authors.

Clayton E CresslerDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
David V McLEODDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
Carly RozinsDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
Josée VAN DEN HoogenDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.
Troy DayDepartment of Mathematics & Statistics, Queen's University, Kingston, ON K7L 3N6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Why is it that some parasites cause high levels of host damage (i.e. virulence) whereas others are relatively benign? There are now numerous reviews of virulence evolution in the literature but it is nevertheless still difficult to find a comprehensive treatment of the theory and data on the subject that is easily accessible to non-specialists. Here we attempt to do so by distilling the vast theoretical literature on the topic into a set of relatively few robust predictions. We then provide a comprehensive assessment of the available empirical literature that tests these predictions. Our results show that there have been some notable successes in integrating theory and data but also that theory and empiricism in this field do not 'speak' to each other very well. We offer a few suggestions for how the connection between the two might be improved.

Indexed as

Biological EvolutionHost-Parasite InteractionsModels, BiologicalVirulenceAnimalsHumansParasitesevolutionary medicineinfectious diseaseTradeoff hypothesis

Identifiers

PMID26302775
PMCPMC4873896

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.