Evidence map›Paper›PMID 40425049›Full record

ArticleOpen biology2025

Devastating disease can cause increased breeding effort and success that improves population resilience.

Laura A Brannelly, Danielle K Wallace, Alexander S Wendt, Quinn Higgs, Siyu Zhang, Marcus A Hough, Ke Diao, Eleyne Ferguson, Lee Berger, Lee F Skerratt

Abstract read
In one paragraph

Article in Open biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

10 authors.

Laura A BrannellyMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.ORCID 0000-0003-2975-9494
Danielle K WallaceMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Alexander S WendtMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Quinn HiggsMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Siyu ZhangMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Marcus A HoughMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Ke DiaoMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Eleyne FergusonMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Lee BergerMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.
Lee F SkerrattMelbourne Veterinary School, Faculty of Science, University of Melbourne, Werribee, Victoria, Australia.

Funding

Australian Research CouncilUniversity of Melbourne
6 · The paper itself

Abstract

Novel and invasive diseases are a key threat to wildlife. The disease chytridiomycosis has had devastating global impacts, but some amphibian species can persist and even rebound after severe declines. Understanding how these species persist is critical to discovering management techniques for supporting declining species. Here, we explored the impacts of disease on reproduction in the threatened

Indexed as

AnuraBreedingChytridiomycotaMycosesReproductionAnimalsFemaleMaleSpermatozoaamphibian reproductionbreeding displaychytridiomycosisconservationparental analysiswildlife disease

Identifiers

PMID40425049
PMCPMC12115809

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.