Evidence map›Paper›PMID 28489304›Full record

ArticleEcology letters2017

Infection of the fittest: devil facial tumour disease has greatest effect on individuals with highest reproductive output.

Konstans Wells, Rodrigo K Hamede, Douglas H Kerlin, Andrew Storfer, Paul A Hohenlohe, Menna E Jones, Hamish I McCallum

Open access · greenAbstract readLetter
In one paragraph

Article in Ecology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. A Devil of a Transmissible Cancer.Tropical medicine and infectious disease · 2020
    Review
  16. Article
  17. Article
  18. Behavioural ecology and infectious disease: implications for conservation of biodiversity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Review
  19. 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

7 authors at 4 institutions in 2 countries.

Konstans WellsEnvironmental Futures Research Institute, Griffith University, Brisbane, QLD, 4111, Australia.ORCID 0000-0003-0377-2463
Rodrigo K HamedeSchool of Biological Sciences, University of Tasmania, Private Bag 55, Hobart, Tas, 7001, Australia.
Douglas H KerlinEnvironmental Futures Research Institute, Griffith University, Brisbane, QLD, 4111, Australia.
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, WA, 99164-4236, USA.
Paul A HohenloheDepartment of Biological Sciences, University of Idaho, Moscow, ID, 83844, USA.
Menna E JonesSchool of Biological Sciences, University of Tasmania, Private Bag 55, Hobart, Tas, 7001, Australia.
Hamish I McCallumEnvironmental Futures Research Institute, Griffith University, Brisbane, QLD, 4111, Australia.
Griffith University · AUUniversity of Tasmania · AUUniversity of Idaho · USWashington State University · US

Funding

Evolution of cancer transmissionR01GM126563 · NIGMS · WASHINGTON STATE UNIVERSITY · PI STORFER, ANDREW T · 2017 to 2020
$2.3M
NIGMS NIH HHS R01 GM126563
6 · The paper itself

Abstract

Emerging infectious diseases rarely affect all members of a population equally and determining how individuals' susceptibility to infection is related to other components of their fitness is critical to understanding disease impacts at a population level and for predicting evolutionary trajectories. We introduce a novel state-space model framework to investigate survival and fecundity of Tasmanian devils (Sarcophilus harrisii) affected by a transmissible cancer, devil facial tumour disease. We show that those devils that become host to tumours have otherwise greater fitness, with higher survival and fecundity rates prior to disease-induced death than non-host individuals that do not become infected, although high tumour loads lead to high mortality. Our finding that individuals with the greatest reproductive value are those most affected by the cancer demonstrates the need to quantify both survival and fecundity in context of disease progression for understanding the impact of disease on wildlife populations.

Indexed as

MarsupialiaReproductionAnimalsAnimals, WildFacial NeoplasmsBayesian capture-recapturedisease burdendisease progressiondisease riskfecundityindividual fitnesspathogenesistransmissible cancertumour growth

Identifiers

PMID28489304
PMCPMC6759051
OpenAlexW2613829498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.