Evidence map›Paper›PMID 37915804›Full record

ArticleEcology and evolution2023

A new multiplexed magnetic capture-Droplet digital PCR tool for monitoring wildlife population health and pathogen surveillance.

Christina M Tschritter, Peter V C de Groot, Marsha Branigan, Markus Dyck, Zhengxin Sun, Stephen C Lougheed

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Shedding-weighted network approaches for understanding tuberculosis maintenance in multihost systems using camera traps.Ecological applications : a publication of the Ecological Society of America · 2026
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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 at 3 institutions in 1 country.

Christina M TschritterDepartment of Biology Queen's University Kingston Ontario Canada.
Peter V C de GrootDepartment of Biology Queen's University Kingston Ontario Canada.
Marsha BraniganDepartment of Environment and Natural Resources Government of the Northwest Territories Inuvik Northwest Territories Canada.
Markus DyckDepartment of Environment Government of Nunavut Igloolik Nunavut Canada.
Zhengxin SunDepartment of Biology Queen's University Kingston Ontario Canada.
Stephen C LougheedDepartment of Biology Queen's University Kingston Ontario Canada.ORCID https://orcid.org/0000-0003-1466-3668
Queen's University · CAGovernment of Northwest Territories · CAGovernment of Nunavut · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic stressors are exacerbating the emergence and spread of pathogens worldwide. In regions like the Arctic, where ecosystems are particularly susceptible, marked changes are predicted in regional diversity, intensity, and patterns of infectious diseases. To understand such rapidly changing host-pathogen dynamics and mitigate the impacts of novel pathogens, we need sensitive disease surveillance tools. We developed and validated a novel multiplexed, magnetic capture, and ddPCR tool for the surveillance of multiple pathogens in polar bears, a sentinel species that is considered susceptible to climate change and other stressors with a pan-Arctic distribution. Through sequence-specific magnetic capture, we concentrated five target template sequences from three zoonotic bacteria (

Indexed as

digital PCRdisease surveillancemultiplexUrsus maritimuszoonotic

Identifiers

PMID37915804
PMCPMC10616740
OpenAlexW4388046680

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.