Evidence map›Paper›PMID 28698561›Full record

ArticleScientific reports2017

A combined case-control and molecular source attribution study of human Campylobacter infections in Germany, 2011-2014.

Bettina M Rosner, Anika Schielke, Xavier Didelot, Friederike Kops, Janina Breidenbach, Niklas Willrich, Greta Gölz, Thomas Alter, Kerstin Stingl, Christine Josenhans and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 6 pooled it
14.3field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 6 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. A systematic review of source attribution of human campylobacteriosis using multilocus sequence typing.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Pooled it
  7. Article
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  11. Cross-Host Adaptation ofMicroorganisms · 2026
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  15. Therapeutic and protective approaches to combatFrontiers in pharmacology · 2025
    Review
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16 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 2 countries.

Bettina M RosnerDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. RosnerB@rki.de.
Anika SchielkeDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Friederike KopsInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.
Janina BreidenbachDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Niklas WillrichDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Greta GölzInstitute of Food Safety and Food Hygiene, Centre for Veterinary Public Health, Freie Universität Berlin, Berlin, Germany.
Thomas AlterInstitute of Food Safety and Food Hygiene, Centre for Veterinary Public Health, Freie Universität Berlin, Berlin, Germany.
Kerstin StinglNational Reference Laboratory for Campylobacter, Federal Institute for Risk Assessment, Berlin, Germany.
Christine JosenhansInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.
Sebastian SuerbaumInstitute for Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany. suerbaum@mvp.uni-muenchen.de.ORCID 0000-0001-9583-7505
Klaus StarkDepartment of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. StarkK@rki.de.
Robert Koch Institute · DEMedizinische Hochschule Hannover · DEFreie Universität Berlin · DEFederal Institute for Risk Assessment · DEImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Campylobacter infection is the most commonly notified bacterial enteritis in Germany. We performed a large combined case-control and source attribution study (Nov 2011-Feb 2014) to identify risk factors for sporadic intestinal Campylobacter infections and to determine the relative importance of various animal sources for human infections in Germany. We conducted multivariable logistic regression analysis to identify risk factors. Source attribution analysis was performed using the asymmetric island model based on MLST data of human and animal/food isolates. As animal sources we considered chicken, pig, pet dog or cat, cattle, and poultry other than chicken. Consumption of chicken meat and eating out were the most important risk factors for Campylobacter infections. Additional risk factors were preparation of poultry meat in the household; preparation of uncooked food and raw meat at the same time; contact with poultry animals; and the use of gastric acid inhibitors. The mean probability of human C. jejuni isolates to originate from chickens was highest (74%), whereas pigs were a negligible source for C. jejuni infections. Human C. coli isolates were likely to originate from chickens (56%) or from pigs (32%). Efforts need to be intensified along the food chain to reduce Campylobacter load, especially on chicken meat.

Indexed as

AdolescentAnimalsCampylobacterCampylobacter InfectionsCase-Control StudiesCatsCattleChickensChildChild, PreschoolDisease ReservoirsFemaleFood MicrobiologyGermanyHumansInfant

Identifiers

PMID28698561
PMCPMC5505968
OpenAlexW2727544557

What OpenQuestion holds

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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.