Evidence map›Paper›PMID 21875337›Full record

ArticleMicrobial drug resistance (Larchmont, N.Y.)2011

The importance of sample size in the determination of a flock-level antimicrobial resistance profile for Escherichia coli in broilers.

Davy Persoons, Kaatje Bollaerts, Annemieke Smet, Lieve Herman, Marc Heyndrickx, An Martel, Patrick Butaye, Boudewijn Catry, Freddy Haesebrouck, Jeroen Dewulf

Abstract readEvaluation Study
In one paragraph

Article in Microbial drug resistance (Larchmont, N.Y.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  5. A nationwide survey of antimicrobial resistance ofJAC-antimicrobial resistance · 2024
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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

10 authors.

Davy PersoonsVeterinary Epidemiology Unit, Department of Obstetrics, Reproduction, and Herd Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke, Belgium. davy.persoons@ugent.be
Kaatje Bollaerts
Annemieke Smet
Lieve Herman
Marc Heyndrickx
An Martel
Patrick Butaye
Boudewijn Catry
Freddy Haesebrouck
Jeroen Dewulf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining herd- or flock-specific antimicrobial resistance profiles is important to guide therapeutic use of antimicrobials and to assess risk factors for the development and spread of antimicrobial resistance. As such, it is of utmost importance to optimize the sampling strategy for the determination of herd-specific antimicrobial resistance profiles. However, the multitude of prevalences measured at the same time as well as the presence of variation both at the level of the animal and the bacterial population of concern make it impossible to use conventional sample size determination methods. In this article, the use of bootstrapping techniques for sample size determination was explored. In particular, one-stage and two-stage bootstrap samplings were used to determine the optimal number of animals and the optimal number of isolates within one animal. Results show that focus should be on the number of animals sampled rather than on the number of isolates tested within one animal.

Indexed as

Drug Resistance, BacterialSample SizeAnimal HusbandryAnimalsAnti-Bacterial AgentsBelgiumChickensColony Count, MicrobialEscherichia coliEscherichia coli InfectionsMicrobial Sensitivity TestsPoultry DiseasesPrevalenceAnti-Bacterial Agents

Identifiers

PMID21875337
PMCPMC3223426

What OpenQuestion holds

Textmetadata
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.