Evidence map›Paper›PMID 32172709›Full record

ArticleEpidemiology and infection2020

Prevalence of

A Wolf, T L Prüfer, C Schoneberg, A Campe, M Runge, M Ganter, B U Bauer

Erratum issuedAbstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Pre-purchase screening forFrontiers in veterinary science · 2025
    Article
  5. Article
  6. First Evidence ofAnimals : an open access journal from MDPI · 2024
    Article
  7. Article
  8. Article
  9. Impact ofFrontiers in veterinary science · 2022
    Article
  10. Article
  11. Seroprevalence and Risk Factors ofAnimals : an open access journal from MDPI · 2021
    Article
  12. Article
  13. Article
  14. Risk factors for an infection withEpidemiology and infection · 2020
    Article
  15. Comparison ofPathogens (Basel, Switzerland) · 2020
    Article
  16. Prevalence ofEpidemiology and infection · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

A WolfClinic for Swine, Small Ruminants and Forensic Medicine, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.ORCID 0000-0002-5321-7225
T L PrüferLower Saxony State Office for Consumer Protection and Food Safety (LAVES), Food and Veterinary Institute Braunschweig/Hannover, Hannover, Germany.
C SchonebergDepartment of Biometry, Epidemiology and Information Processing, (IBEI), WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
A CampeDepartment of Biometry, Epidemiology and Information Processing, (IBEI), WHO Collaborating Centre for Research and Training for Health at the Human-Animal-Environment Interface, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
M RungeLower Saxony State Office for Consumer Protection and Food Safety (LAVES), Food and Veterinary Institute Braunschweig/Hannover, Hannover, Germany.
M GanterClinic for Swine, Small Ruminants and Forensic Medicine, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
B U BauerClinic for Swine, Small Ruminants and Forensic Medicine, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A prevalence study was conducted on German sheep flocks including goats if they cohabitated with sheep. In addition, a novel approach was applied to identify an infection at the herd-level before lambing season with preputial swabs, suspecting venereal transmission and ensuing colonisation of preputial mucosa with Coxiella (C.) burnetii. Blood samples and genital swabs were collected from breeding males and females after the mating season and were analysed by enzyme-linked immunosorbent assay (ELISA) and quantitative polymerase chain reaction (qPCR) respectively. In total, 3367 animals were sampled across 71 flocks. The true herd-level prevalence adjusted for misclassification probabilities of the applied diagnostic tests using the Rogan-Gladen estimator for the prevalence estimate and a formula by Lang and Reiczigel (2014) for the confidence limits, ranged between 31.3% and 33% (95% confidence interval [95% CI] 17.3-45.5) detected by the ELISA and/or qPCR. Overall 26-36.6% (95% CI 13-56.8) were detected by ELISA, 13.9% (95% CI 4.5-23.2) by the qPCR and 7.9-11.2% (95% CI 0.08-22.3) by both tests simultaneously. The range of results is due to data obtained from literature with different specifications for test quality for ELISA. Among eight farms with females shedding C. burnetii, three farms (37.5%) could also be identified by preputial swabs from breeding sires. This indicates less reliability of preputial swabs if used as a single diagnostic tool to detect C. burnetii infection at the herd-level.

Indexed as

AnimalsCoxiella burnetiiFemaleGenitalia, FemaleGenitalia, MaleGermanyGoat DiseasesGoatsMalePrevalenceQ FeverSheepSheep DiseasesCoxiella burnetiismall ruminantssurveillancevenereal transmission

Identifiers

PMID32172709
PMCPMC7118722

What OpenQuestion holds

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LicenceCC BY
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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.