Evidence map›Paper›PMID 31291690›Full record

ArticleJournal of applied microbiology2019

Detection of Campylobacter spp. in water by dead-end ultrafiltration and application at farm level.

S Ferrari, S Frosth, L Svensson, L-L Fernström, H Skarin, I Hansson

Abstract read
In one paragraph

Article in Journal of applied microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. A Rapid Culture Method for the Detection ofInternational journal of environmental research and public health · 2021
    Article
  7. Review
  8. Identification of Transmission Routes ofPathogens (Basel, Switzerland) · 2020
    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.

S FerrariDepartment of Microbiology, National Veterinary Institute, Uppsala, Sweden.
S FrosthDepartment of Biomedical Sciences and Veterinary Public Health, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
L SvenssonDepartment of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
L-L FernströmDepartment of Biomedical Sciences and Veterinary Public Health, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.
H SkarinDepartment of Microbiology, National Veterinary Institute, Uppsala, Sweden.
I HanssonDepartment of Microbiology, National Veterinary Institute, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-3764-2341

Funding

Directorate-General for Health and Food SafetyEuropean CommissionFoundation of Swedish Chicken Farmers
6 · The paper itself

Abstract

aimsThe purposes were to evaluate the detection of low levels of Campylobacter in water by dead-end ultrafiltration (DEUF) to determine the sensitivity and suitability for use under field condition. METHODS AND

resultsThe DEUF technique followed by detection according to ISO 10272 was tested on artificially and naturally contaminated water. Campylobacter were detected in all samples spiked with more than 10 CFU 60 l

conclusionsThe results indicate that DEUF is useful for detection of low numbers of Campylobacter in large volumes of water. SIGNIFICANCE AND IMPACT OF THE STUDY: Contaminated water is an important source for transmission of Campylobacter to broilers and humans. The concentration of Campylobacter is usually low with a high level of background microbiota. This study shows the advantages of DEUF both in the laboratory and under field conditions.

Indexed as

FarmsWater MicrobiologyAnimalsCampylobacterChickensHousing, AnimalUltrafiltrationbroiler chickensCampylobacterdead-end ultrafiltrationDEUFspiked waterwater

Identifiers

PMID31291690
PMCPMC6851547

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Registered trials

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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.