Evidence map›Paper›PMID 35773664›Full record

ArticleBMC infectious diseases2022

Risk factors for campylobacteriosis in Australia: outcomes of a 2018-2019 case-control study.

Danielle M Cribb, Liana Varrone, Rhiannon L Wallace, Angus T McLure, James J Smith, Russell J Stafford, Dieter M Bulach, Linda A Selvey, Simon M Firestone, Nigel P French and 6 more

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

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Genomic diversity ofMicrobial genomics · 2024
    Article
  5. Article
  6. Source attribution of campylobacteriosis in Australia, 2017-2019.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    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

16 authors at 11 institutions in 3 countries.

Danielle M Cribb *National Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
Liana Varrone *Department of Health, Government of Western Australia, Perth, WA, Australia.
Rhiannon L WallaceAgriculture and Agri-Food Canada, Agassiz Research and Development Centre, Agassiz, BC, Canada.
Angus T McLureNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
James J SmithFood Safety Standards and Regulation, Health Protection Branch, Queensland Health, Brisbane, Qld, Australia.
Russell J StaffordOzFoodNet, Communicable Diseases Branch, Queensland Health, Brisbane, Qld, Australia.
Dieter M BulachMelbourne Bioinformatics, The University of Melbourne, Melbourne, Vic, Australia.
Linda A SelveyFaculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.
Simon M FirestoneMelbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Vic, Australia.
Nigel P FrenchInfectious Disease Research Centre, Massey University, Palmerston North, New Zealand.
Mary ValcanisMicrobiological Diagnostic Unit Public Health Laboratory, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Vic, Australia.
Emily J FearnleyOzFoodNet, Government of South Australia, Department for Health and Wellbeing, Adelaide, SK, Australia.
Timothy S Sloan-GardnerOzFoodNet, Health Protection Service, ACT Health, Canberra, ACT, Australia.
Trudy GrahamPublic Health Microbiology, Forensic and Scientific Services, Queensland Health, Brisbane, Qld, Australia.
Kathryn GlassNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia.
Martyn D KirkNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, ACT, Australia. Martyn.Kirk@anu.edu.au.
Australian National University · AUQueensland Health · AUUniversity of Melbourne · AUAct Health · AUAgriculture and Agri-Food Canada · CAGovernment of South Australia · AUGovernment of Western Australia · AUMassey University · NZPeter Doherty Institute · AUQueensland University of Technology · AUUniversity of Queensland · AU

Funding

National Health and Medical Research Council GNT1145997
6 · The paper itself

Abstract

backgroundWe aimed to identify risk factors for sporadic campylobacteriosis in Australia, and to compare these for Campylobacter jejuni and Campylobacter coli infections.

methodsIn a multi-jurisdictional case-control study, we recruited culture-confirmed cases of campylobacteriosis reported to state and territory health departments from February 2018 through October 2019. We recruited controls from notified influenza cases in the previous 12 months that were frequency matched to cases by age group, sex, and location. Campylobacter isolates were confirmed to species level by public health laboratories using molecular methods. We conducted backward stepwise multivariable logistic regression to identify significant risk factors.

resultsWe recruited 571 cases of campylobacteriosis (422 C. jejuni and 84 C. coli) and 586 controls. Important risk factors for campylobacteriosis included eating undercooked chicken (adjusted odds ratio [aOR] 70, 95% CI 13-1296) or cooked chicken (aOR 1.7, 95% CI 1.1-2.8), owning a pet dog aged < 6 months (aOR 6.4, 95% CI 3.4-12), and the regular use of proton-pump inhibitors in the 4 weeks prior to illness (aOR 2.8, 95% CI 1.9-4.3). Risk factors remained similar when analysed specifically for C. jejuni infection. Unique risks for C. coli infection included eating chicken pâté (aOR 6.1, 95% CI 1.5-25) and delicatessen meats (aOR 1.8, 95% CI 1.0-3.3). Eating any chicken carried a high population attributable fraction for campylobacteriosis of 42% (95% CI 13-68), while the attributable fraction for proton-pump inhibitors was 13% (95% CI 8.3-18) and owning a pet dog aged < 6 months was 9.6% (95% CI 6.5-13). The population attributable fractions for these variables were similar when analysed by campylobacter species. Eating delicatessen meats was attributed to 31% (95% CI 0.0-54) of cases for C. coli and eating chicken pâté was attributed to 6.0% (95% CI 0.0-11).

conclusionsThe main risk factor for campylobacteriosis in Australia is consumption of chicken meat. However, contact with young pet dogs may also be an important source of infection. Proton-pump inhibitors are likely to increase vulnerability to infection.

Indexed as

CampylobacterCampylobacter InfectionsCampylobacter jejuniGastroenteritisAnimalsAustraliaCase-Control StudiesChickensDogsProton Pump InhibitorsRisk FactorsProton Pump InhibitorsAustraliaCampylobacterCampylobacter InfectionsCase–Control StudyChickensDogsFoodborne diseasesProton Pump InhibitorsRisk Factors

Identifiers

PMID35773664
PMCPMC9245254
OpenAlexW4283749942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.