Evidence map›Paper›PMID 29299272›Full record

ArticleEcology and evolution2017

Design- and model-based recommendations for detecting and quantifying an amphibian pathogen in environmental samples.

Brittany A Mosher, Kathryn P Huyvaert, Tara Chestnut, Jacob L Kerby, Joseph D Madison, Larissa L Bailey

Abstract read
In one paragraph

Article in Ecology and evolution, 2017. 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. The Remote Emerging Disease Intelligence-NETwork.Frontiers in microbiology · 2022
    Article
  3. Dual Detection of the Chytrid FungiJournal of fungi (Basel, Switzerland) · 2021
    Article
  4. Article
  5. Proceedings. Biological sciences · 2019
    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

6 authors.

Brittany A MosherDepartment of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins CO USA.ORCID 0000-0002-8458-9056
Kathryn P HuyvaertDepartment of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins CO USA.ORCID 0000-0003-3302-030X
Tara ChestnutUS Geological Survey Oregon Water Science Center Portland OR USA.
Jacob L KerbyDepartment of Biology University of South Dakota Vermillion SD USA.
Joseph D MadisonDepartment of Biology University of South Dakota Vermillion SD USA.
Larissa L BaileyDepartment of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins CO USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate pathogen detection is essential for developing management strategies to address emerging infectious diseases, an increasingly prominent threat to wildlife. Sampling for free-living pathogens outside of their hosts has benefits for inference and study efficiency, but is still uncommon. We used a laboratory experiment to evaluate the influences of pathogen concentration, water type, and qPCR inhibitors on the detection and quantification of

Indexed as

Batrachochytrium dendrobatidisChytridiomycosisdetection probabilityeDNAfiltrationhost‐pathogen dynamicsmonitoringmultiscale occupancyqPCR

Identifiers

PMID29299272
PMCPMC5743658

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.