Evidence map›Paper›PMID 23813818›Full record

ReviewJournal of feline medicine and surgery2013

Coxiellosis/Q fever in cats: ABCD guidelines on prevention and management.

Herman Egberink, Diane Addie, Sándor Belák, Corine Boucraut-Baralon, Tadeusz Frymus, Tim Gruffydd-Jones, Katrin Hartmann, Margaret J Hosie, Albert Lloret, Hans Lutz and 7 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of feline medicine and surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. One health behind bars: Seroincidence ofOne health (Amsterdam, Netherlands) · 2025
    Article
  4. First Insight into the Prevalence ofInfectious disease reports · 2024
    Article
  5. Article
  6. Pathogens (Basel, Switzerland) · 2022
    Article
  7. Review
  8. Article
  9. Article
  10. 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

17 authors at 2 institutions in 2 countries.

Herman EgberinkEuropean Advisory Board on Cat Diseases. h.f.egberink@uu.nl
Diane Addie
Sándor Belák
Corine Boucraut-Baralon
Tadeusz Frymus
Tim Gruffydd-Jones
Katrin Hartmann
Margaret J Hosie
Albert Lloret
Hans Lutz
Fulvio Marsilio
Karin Möstl
Maria Grazia Pennisi
Alan D Radford
Etienne Thiry
Uwe Truyen
Marian C Horzinek
Advisory Board Company (United States) · USUniversity of Liège · BE

Funding

Biotechnology and Biological Sciences Research Council BB/D008425/1Medical Research Council G0300387
6 · The paper itself

Abstract

overviewQ fever is a zoonotic disease caused by Coxiella burnetii. Farm animals and pets are the main reservoirs of infection. INFECTION: Cats become infected by ingestion or inhalation of organisms from contaminated carcases of farm animals, or tick bites. Infection is common, as shown by several serological studies. CLINICAL SIGNS: Experimentally, fever, anorexia and lethargy have been noted. In the field, infection usually remains subclinical. Abortion might occur. C burnetii has been isolated from the placenta of aborting cats, but also from cats experiencing normal parturition. DIAGNOSIS: Infection with C burnetii can be diagnosed by isolation of the agent or serology. PREVENTION: Most important is the potential zoonotic risk. Cats suspected of having been exposed to C burnetii might shed organisms during parturition. Wearing gloves and a mask when attending parturient or aborting cats can minimise the risk of infection. Tick prevention is recommended.

Indexed as

AnimalsCat DiseasesCatsQ Fever

Identifiers

PMID23813818
PMCPMC11148969
OpenAlexW2141690171

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.