Evidence map›Paper›PMID 26214299›Full record

ArticleZoonoses and public health2016

Evaluation of Patients with Community-Acquired Pneumonia Caused by Zoonotic Pathogens in an Area with a High Density of Animal Farms.

E G W Huijskens, L A M Smit, J W A Rossen, D Heederik, M Koopmans

Open access · bronzeAbstract read
In one paragraph

Article in Zoonoses and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Q Fever as a Cause of Community-Acquired Pneumonia in French Guiana.The American journal of tropical medicine and hygiene · 2022
    Article
  6. Article
  7. Review
  8. World journal of otorhinolaryngology - head and neck surgery · 2018
    Article
  9. Article
  10. Article
  11. Current and future prospects for nanotechnology in animal production.Journal of animal science and biotechnology · 2017
    Review
  12. Article
  13. 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

5 authors at 3 institutions in 1 country.

E G W HuijskensDepartment of Medical Microbiology, Albert Schweitzer Hospital, Dordrecht, The Netherlands.
L A M SmitDivision Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
J W A RossenLaboratory of Medical Microbiology and Immunology, St. Elisabeth Hospital, Tilburg, The Netherlands.
D HeederikDivision Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
M KoopmansDepartment of Virology, Erasmus Medical Centre, Rotterdam, The Netherlands.
Elisabeth-TweeSteden Ziekenhuis · NLUtrecht University · NLNational Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensive animal farming could potentially lead to outbreaks of infectious diseases. Clinicians are at the forefront of detecting unusual diseases, but the lack of specificity of zoonotic disease symptoms makes this a challenging task. We evaluated patients with community-acquired pneumonia (CAP) with known and unknown aetiology in an area with a high livestock density and a potential association with animal farms in the proximity. Between 2008 and 2009, a period coinciding with a large Q fever outbreak in the Netherlands, patients with CAP were tested for the presence of possible respiratory pathogens. The presence and number of farm animals within 1 km of the patients' home address were assessed using geographic information system (GIS) and were compared between cases and age-matched control subjects. Of 408 patients with CAP, pathogens were detected in 275 (67.4%) patients. The presence of sheep and the number of goats were associated with CAP caused by Coxiella burnetii in a multiple logistic regression model (P < 0.05). CAP with unknown aetiology was not associated with the presence of animal farms (P > 0.10). The use of GIS in combination with aetiology of CAP could be potentially used to target diagnostics and to identify outbreaks of rare zoonotic disease.

Indexed as

AdultAgedAged, 80 and overAnimal HusbandryAnimalsCase-Control StudiesCommunity-Acquired InfectionsCoxiella burnetiiDisease OutbreaksFemaleGeographic Information SystemsGoatsHumansLogistic ModelsMaleMiddle Agedcommunity-acquired pneumoniaCoxiella burnetiigeographic information systemrespiratory pathogensZoonosis

Identifiers

PMID26214299
PMCPMC7165864
OpenAlexW1561557925

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.