Evidence map›Paper›PMID 18205975›Full record

ArticleEpidemiology and infection2008

Risk factors for infection with Campylobacter jejuni flaA genotypes.

L E Unicomb, L C O'Reilly, M D Kirk, R J Stafford, H V Smith, N G Becker, M S Patel, G L Gilbert, Australian Campylobacter Subtyping Study Group

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2008. 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
3.3field-weighted citation impact, top 10% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

9 authors at 5 institutions in 1 country.

L E UnicombOzFoodNet, Hunter New England Population Health, Wallsend, New South Wales, Australia. leanne.unicomb@anu.edu.au
L C O'Reilly
M D Kirk
R J Stafford
H V Smith
N G Becker
M S Patel
G L Gilbert
Australian Campylobacter Subtyping Study Group
Queensland Health · AUAustralian National University · AUACT GovernmentPathwest Laboratory Medicine · AUWestmead Institute for Medical Research · AU

Funding

Wellcome Trust
6 · The paper itself

Abstract

We aimed to explore Campylobacter genotype-specific risk factors in Australia. Isolates collected prospectively from cases recruited into a case-control study were genotyped using flaA restriction fragment-length polymorphism typing (flaA genotyping). Exposure information for cases and controls was collected by telephone interview. Risk factors were examined for major flaA genotypes using logistic and multinomial regression. Five flaA genotypes accounted for 325 of 590 (55%) cases - flaA-6b (n=129), flaA-6 (n=70), flaA-10 (n=48), flaA-2 (n=43), flaA-131 (n=35). In Australia, infections due to flaA-10 and flaA-2 were found to be significantly associated with eating non-poultry meat (beef and ham, respectively) in both case-control and inter-genotype comparisons. All major genotypes apart from flaA-10 were associated with chicken consumption in the case-control comparisons. Based on several clinical criteria, infections due to flaA-2 were more severe than those due to other genotypes. Thus genotype analysis may reveal genotype-specific niches and differences in virulence and transmission routes.

Indexed as

AdolescentAdultAgedAged, 80 and overAustraliaBacterial Typing TechniquesCampylobacter InfectionsCampylobacter jejuniCase-Control StudiesChildChild, PreschoolDNA, BacterialDNA FingerprintingFemaleFlagellinGenotypeDNA, BacterialflaA protein, bacteriaFlagellin

Identifiers

PMID18205975
PMCPMC2870744
OpenAlexW1974329631

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.