Evidence map›Paper›PMID 28103325›Full record

ArticlePloS one2017

Assessing Fifty Years of General Health Surveillance of Roe Deer in Switzerland: A Retrospective Analysis of Necropsy Reports.

Mirjam Pewsner, Francesco Carlo Origgi, Joachim Frey, Marie-Pierre Ryser-Degiorgis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 47 citations in OpenAlex.

  1. Humans are not unique: difficult birth is common in placental mammals.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  2. Article
  3. Article
  4. Case report: Renal malformations in wild roe deer (Frontiers in veterinary science · 2025
    Article
  5. Article
  6. Approaches and methods to study wildlife cancer.The Journal of animal ecology · 2024
    Review
  7. First Report of Caseous Lymphadenitis byAnimals : an open access journal from MDPI · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Isolation ofFrontiers in veterinary science · 2023
    Article
  12. Relationship between Blood Parameters and Outcome in Rescued Roe Deer.Animals : an open access journal from MDPI · 2022
    Article
  13. Article
  14. Passive Disease Surveillance of Alpine Chamois (Animals : an open access journal from MDPI · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Twenty Years of Passive Disease Surveillance of Roe Deer (Animals : an open access journal from MDPI · 2021
    Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Mirjam PewsnerCentre for Fish and Wildlife Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Francesco Carlo OriggiCentre for Fish and Wildlife Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Joachim FreyInstitute of Veterinary Bacteriology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
Marie-Pierre Ryser-DegiorgisCentre for Fish and Wildlife Health, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General wildlife health surveillance is a valuable source of information on the causes of mortality, disease susceptibility and pathology of the investigated hosts and it is considered to be an essential component of early warning systems. However, the representativeness of data from such surveillance programs is known to be limited by numerous biases. The roe deer (Capreolus capreolus capreolus) is the most abundant ungulate and a major game species all over Europe. Yet, internationally available literature on roe deer pathology is scarce. The aims of this study were (1) to provide an overview of the causes of mortality or morbidity observed in roe deer in Switzerland and to assess potential changes in the disease pattern over time; and (2) to evaluate the value and limitations of a long term dataset originating from general wildlife health surveillance. We compiled 1571 necropsy reports of free ranging roe deer examined at the Centre for Fish and Wildlife Health in Switzerland from 1958 to 2014. Descriptive data analysis was performed considering animal metadata, submitter, pathologist in charge, laboratory methods, morphological diagnoses and etiologies. Recurrent causes of mortality and disease pictures included pneumonia, diarrhea, meningoencephalitis, actinomycosis, blunt trauma, predation, neoplasms and anomalies. By contrast, other diagnoses such as fatal parasitic gastritis, suspected alimentary intoxication and reproductive disorders appeared only in earlier time periods. Diseases potentially relevant for other animals or humans such as caseous lymphadenitis (or pseudotuberculosis), salmonellosis, paratuberculosis and listeriosis were sporadically observed. The disease pattern in roe deer from Switzerland was largely in accordance with previous reports. The observed fluctuations were consistent with methodical and/or personnel changes and varying disease awareness. Nevertheless, despite such limitations, the compiled data provide a valuable baseline. To facilitate comparison among studies, we recommend systematically archiving all case documents and fixed tissues and to perform data analyses more regularly and in a harmonized way.

Indexed as

DeerAnimal DiseasesAnimalsAnimals, WildAutopsyEpidemiological MonitoringFemaleHumansMaleRetrospective StudiesSwitzerland

Identifiers

PMID28103325
PMCPMC5245894
OpenAlexW2577951968

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.