Evidence map›Paper›PMID 24300336›Full record

ArticleEpidemiology and infection2014

Associations between host characteristics and antimicrobial resistance of Salmonella typhimurium.

I Ruddat, E Tietze, D Ziehm, L Kreienbrock

Abstract read
In one paragraph

Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

I RuddatDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health,University of Veterinary Medicine,Hannover,Germany.
E TietzeRobert Koch-Institute,Wernigerode Branch, Division Enteropathogenic Bacteria and Legionella, National Reference Centre for Salmonellae and other Bacterial Enteric Pathogens, Wernigerode,Germany.
D ZiehmGovernmental Institute of Public Health of Lower Saxony,Hannover,Germany.
L KreienbrockDepartment of Biometry, Epidemiology and Information Processing, WHO Collaborating Centre for Research and Training in Veterinary Public Health,University of Veterinary Medicine,Hannover,Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A collection of Salmonella Typhimurium isolates obtained from sporadic salmonellosis cases in humans from Lower Saxony, Germany between June 2008 and May 2010 was used to perform an exploratory risk-factor analysis on antimicrobial resistance (AMR) using comprehensive host information on sociodemographic attributes, medical history, food habits and animal contact. Multivariate resistance profiles of minimum inhibitory concentrations for 13 antimicrobial agents were analysed using a non-parametric approach with multifactorial models adjusted for phage types. Statistically significant associations were observed for consumption of antimicrobial agents, region type and three factors on egg-purchasing behaviour, indicating that besides antimicrobial use the proximity to other community members, health consciousness and other lifestyle-related attributes may play a role in the dissemination of resistances. Furthermore, a statistically significant increase in AMR from the first study year to the second year was observed.

Indexed as

Drug Resistance, BacterialFeeding BehaviorAdolescentAnti-Bacterial AgentsBacteriophage Typingbeta-Lactam ResistanceChildChloramphenicol ResistanceEggsFemaleGeographyGermanyHumansMaleMicrobial Sensitivity TestsMultivariate AnalysisAnti-Bacterial Agents

Identifiers

PMID24300336
PMCPMC9151268

What OpenQuestion holds

Textmetadata
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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.