Evidence map›Paper›PMID 29540516›Full record

ArticleProceedings. Biological sciences2018

Predicting the effects of parasite co-infection across species boundaries.

Joanne Lello, Susan J McClure, Kerri Tyrrell, Mark E Viney

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Fatal babesiosis in a free-ranging iberian wolf co-infected withInternational journal for parasitology. Parasites and wildlife · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Diversity ofFrontiers in veterinary science · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Bovine tuberculosis disturbs parasite functional trait composition in African buffalo.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. Review
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.

Joanne LelloSchool of Biosciences, Cardiff University, Cardiff CF10 3AX, UK lelloj@cardiff.ac.uk.ORCID 0000-0002-2640-1027
Susan J McClureDivision of Animal, Food and Health Sciences, CSIRO, Armidale, New South Wales 2350, Australia.
Kerri TyrrellDivision of Animal, Food and Health Sciences, CSIRO, Armidale, New South Wales 2350, Australia.
Mark E VineySchool of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.ORCID 0000-0002-4857-1238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is normal for hosts to be co-infected by parasites. Interactions among co-infecting species can have profound consequences, including changing parasite transmission dynamics, altering disease severity and confounding attempts at parasite control. Despite the importance of co-infection, there is currently no way to predict how different parasite species may interact with one another, nor the consequences of those interactions. Here, we demonstrate a method that enables such prediction by identifying two nematode parasite groups based on taxonomy and characteristics of the parasitological niche. From an understanding of the interactions between the two defined groups in one host system (wild rabbits), we predict how two different nematode species, from the same defined groups, will interact in co-infections in a different host system (sheep), and then we test this experimentally. We show that, as predicted, in co-infections, the blood-feeding nematode

Indexed as

Host-Parasite InteractionsImmunity, InnateAnimalsCoinfectionHaemonchiasisHaemonchusRabbitsSheepSheep DiseasesTrichostrongylosisTrichostrongylusco-infectionhelminthsimmune responseimmunomodulationnematodepopulation dynamics

Identifiers

PMID29540516
PMCPMC5879626

What OpenQuestion holds

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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.