Evidence map›Paper›PMID 36978499›Full record

ArticleAnimals : an open access journal from MDPI2023

Development of an In Vivo Extended-Spectrum Cephalosporin-Resistant

Tanya Laird, David Jordan, John Pluske, Josie Mansfield, Stuart Wilkinson, David Cadogan, Sam Abraham, Mark O'Dea

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Tanya LairdAntimicrobial Resistance and Infectious Diseases Laboratory, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.
David JordanNSW Department of Primary Industries, Wollongbar, NSW 2477, Australia.ORCID 0000-0002-1763-9551
John PluskeAgricultural Sciences, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.ORCID 0000-0002-7194-2164
Josie MansfieldAgricultural Sciences, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.
Stuart WilkinsonFeedworks Pty Ltd., Romsey, VIC 3434, Australia.
David CadoganFeedworks Pty Ltd., Romsey, VIC 3434, Australia.
Sam AbrahamAntimicrobial Resistance and Infectious Diseases Laboratory, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.ORCID 0000-0003-0950-2317
Mark O'DeaAntimicrobial Resistance and Infectious Diseases Laboratory, Harry Butler Institute, Murdoch University, Murdoch, WA 6150, Australia.
Murdoch University · AUNew South Wales Department of Primary Industries · AUThe University of Melbourne · AU

Funding

Australasian Pork Research Institute Ltd A1-101
6 · The paper itself

Abstract

Current interventions targeting antimicrobial resistance (AMR), a major impact on commercial pork production, focus on reducing the emergence of AMR by minimising antimicrobial usage through antimicrobial stewardship and a range of alternative control methods. Although these strategies require continued advancement, strategies that directly aim to reduce or eliminate existing antimicrobial resistant bacteria, specifically bacteria resistant to critically important antimicrobials (CIAs), need to be investigated and established. This study established an in vivo model for examining the effects of postbiotics, in the form of

Indexed as

antimicrobial resistancepostbioticsswine

Identifiers

PMID36978499
PMCPMC10044249
OpenAlexW4323362237

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
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.