Evidence map›Paper›PMID 24817479›Full record

ArticleTropical animal health and production2014

Detection of enteric pathogens in Turkey flocks affected with severe enteritis, in Brazil.

Joelma Moura-Alvarez, Luis F N Nuñez, Claudete S Astolfi-Ferreira, Terezinha Knöbl, Jorge L Chacón, Andrea M Moreno, Richard C Jones, Antonio J Piantino Ferreira

Open access · bronzeAbstract read
In one paragraph

Article in Tropical animal health and production, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 2 institutions in 2 countries.

Joelma Moura-AlvarezDepartment of Pathology, School of Veterinary Medicine, University of São Paulo, São Paulo, SP, Brazil.
Luis F N Nuñez
Claudete S Astolfi-Ferreira
Terezinha Knöbl
Jorge L Chacón
Andrea M Moreno
Richard C Jones
Antonio J Piantino Ferreira
Universidade de São Paulo · BRUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty-two flocks of turkeys affected by enteric problems, with ages between 10 and 104 days and located in the Southern region of Brazil, were surveyed for turkey by PCR for turkey astrovirus type 2 (TAstV-2), turkey coronavirus (TCoV), hemorrhagic enteritis virus (HEV), rotavirus, reovirus, Salmonella spp., and Lawsonia intracellularis (Li) infections. Eleven profiles of pathogen combination were observed. The most frequently encountered pathogen combinations were TCoV-Li, followed by TCoV-TAstV-2-Li, TCoV-TastV-2. Only TCoV was detected as the sole pathogen in three flocks. Eight and 19 flocks of the 22 were positive for TAstV-2 and TCoV, respectively. Six were positive for Salmonella spp. and L. intracellularis was detected in 12 turkey flocks. Reovirus and HEV were not detected in this survey. These results throw new light on the multiple etiology of enteritis in turkeys. The implications of these findings and their correlation with the clinical signs are comprehensively discussed, illustrating the complexity of the enteric diseases.

Indexed as

TurkeysAnimalsAvastrovirusBrazilCoronavirus, TurkeyDisease OutbreaksDNA PrimersEnteritisLawsonia BacteriaPoultry DiseasesReverse Transcriptase Polymerase Chain ReactionRotavirusSalmonellaDNA Primers

Identifiers

PMID24817479
PMCPMC7089275
OpenAlexW2008492111

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.