Evidence map›Paper›PMID 21876850›Full record

ArticleVeterinary medicine international2011

Ovine paratuberculosis: a seroprevalence study in dairy flocks reared in the marche region, Italy.

Attili Anna Rita, Ngu Ngwa Victor, Preziuso Silvia, Pacifici Luciana, Domesi Anastasia, Cuteri Vincenzo

Abstract read
In one paragraph

Article in Veterinary medicine international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Survey ofAnimals : an open access journal from MDPI · 2024
    Article
  5. Large-scale serological survey onFrontiers in veterinary science · 2024
    Article
  6. Paratuberculosis: The Hidden Killer of Small Ruminants.Animals : an open access journal from MDPI · 2021
    Review
  7. Article
  8. Review
  9. Article
  10. Serological and Molecular Characterization ofAnimals : an open access journal from MDPI · 2021
    Article
  11. Identification ofMicroorganisms · 2020
    Article
  12. Article
  13. Sero-surveillance ofJournal of advanced veterinary and animal research · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Molecular typing of Argentinian Mycobacterium avium subsp. paratuberculosis isolates by multiple-locus variable number-tandem repeat analysis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2015
    Article
  19. 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

6 authors.

Attili Anna RitaSchool of Veterinary Medical Sciences, University of Camerino, via Circonvallazione 93-95, 62024 Matelica, Italy.
Ngu Ngwa Victor
Preziuso Silvia
Pacifici Luciana
Domesi Anastasia
Cuteri Vincenzo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to fulfil the seroprevalence gap on Mycobacterium avium subsp. paratuberculosis infection in ovine dairy farms of Marche region (central Italy), a stratified study was carried out on 2086 adult female sheep randomly chosen from 38 herds selected in Ancona and Macerata provinces. 73.7% flocks resulted infected by a commercial ELISA test (Pourquier, France), with a mean seroprevalence of 6.29% of sampled sheep in both provinces. A higher number of MAP seropositive ewes was recorded in the large herds' consistence than in the small and medium herds' consistence (P = 0.0269), and a greater percentage of infected sheep was obtained among female at early/late than in peak lactation stage (P = 0.0237). MAP infection was confirmed in 12.6% of infected farms by faecal culture. The true sheep-level seroprevalence was 15.1% ± 7.3%.

Identifiers

PMID21876850
PMCPMC3163026

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Registered trials

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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.