Evidence map›Paper›PMID 25325314›Full record

ArticleVector borne and zoonotic diseases (Larchmont, N.Y.)2014

Coxiella burnetii in central Italy: novel genotypes are circulating in cattle and goats.

Marco Di Domenico, Valentina Curini, Fabrizio De Massis, Andrea Di Provvido, Massimo Scacchia, Cesare Cammà

Abstract read
In one paragraph

Article in Vector borne and zoonotic diseases (Larchmont, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Animals : an open access journal from MDPI · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Correlating Genotyping Data ofPathogens (Basel, Switzerland) · 2021
    Article
  8. Phylogeography of Human and AnimalFrontiers in cellular and infection microbiology · 2020
    Article
  9. Article
  10. Article
  11. Detection of Lyme Disease and Q Fever Agents in Wild Rodents in Central Italy.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2015
    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.

Marco Di DomenicoIstituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale" , Campo Boario, Teramo, Italy .
Valentina Curini
Fabrizio De Massis
Andrea Di Provvido
Massimo Scacchia
Cesare Cammà

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotyping of bacteria is critical for diagnosis, treatment, and epidemiological surveillance. Coxiella burnetii, the etiological agent of Q fever, has been recognized to have a potential for bioterrorism purposes. Because few serosurveys have been conducted in Italy, there is still limited information about the distribution of this pathogen in natural conditions. In this paper, we describe the genotyping of C. burnetii strains by multispacer sequence typing (MST) detected in cattle and goat farms in the Abruzzi region of Italy. Biological samples (milk, aborted fetus) positive for C. burnetii DNA were sequenced in the spacer regions and compared with those already publicly available ( http://ifr48.timone.univ-mrs.fr/MST_Coxiella/mst/group_detail ). The MST profile of C. burnetii detected in milk samples demonstrated the presence of a new allele, whereas the C. burnetii spacer sequences from fetus and milk goat samples displayed a new allelic combination. The results suggest the circulation of novel genotypes of C. burnetii in Italy.

Indexed as

Aborted FetusAllelesAnimalsBacterial Typing TechniquesBase SequenceCattleCoxiella burnetiiDNA, BacterialDNA, IntergenicFemaleGenotypeGeographyGoat DiseasesGoatsItalyMilkDNA, BacterialDNA, IntergenicCattle–GoatCoxiella burnetiiGenotypingItalyMultispacer sequence typing

Identifiers

PMID25325314
PMCPMC4208599

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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.