Evidence map›Paper›PMID 38656656›Full record

ArticleVeterinary research communications2024

Molecular evidence of sporadic Coxiella burnetii excretion in sheep milk, central Portugal.

Humberto Pires, Sérgio Santos-Silva, Andreia V S Cruz, Luís Cardoso, Ana Patrícia Lopes, Maria A Pereira, Carmen Nóbrega, Ana Cristina Mega, Carla Santos, Rita Cruz and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Veterinary research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Transboundary and emerging diseases · 2026
    Pooled it
  2. Detection ofFoods (Basel, Switzerland) · 2025
    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

16 authors at 5 institutions in 1 country.

Humberto PiresPolytechnic Institute of Castelo Branco, Castelo Branco, 6001-909, Portugal.
Sérgio Santos-SilvaICBAS - School of Medicine and Biomedical Sciences, Porto University, Porto, 4050-313, Portugal.
Andreia V S CruzICBAS - School of Medicine and Biomedical Sciences, Porto University, Porto, 4050-313, Portugal.
Luís CardosoAnimal and Veterinary Research Centre (CECAV), Department of Veterinary Sciences, University of Trás-os-Montes e Alto Douro (UTAD), Vila Real, 5000-801, Portugal.
Ana Patrícia LopesAnimal and Veterinary Research Centre (CECAV), Department of Veterinary Sciences, University of Trás-os-Montes e Alto Douro (UTAD), Vila Real, 5000-801, Portugal.
Maria A PereiraInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Carmen NóbregaInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Ana Cristina MegaInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Carla SantosInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Rita CruzInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Fernando EstevesInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Helena ValaInstituto Politécnico de Viseu, Escola Superior Agrária de Viseu, Campus Politécnico, Viseu, 3504-510, Portugal.
Ana Cristina MatosPolytechnic Institute of Castelo Branco, Castelo Branco, 6001-909, Portugal.
Patrícia F BarradasEpidemiology Research Unit (EPIUnit), Instituto de Saúde Pública da Universidade do Porto, Porto, 4050-091, Portugal.
Ana Cláudia CoelhoAnimal and Veterinary Research Centre (CECAV), Department of Veterinary Sciences, University of Trás-os-Montes e Alto Douro (UTAD), Vila Real, 5000-801, Portugal.
João R MesquitaICBAS - School of Medicine and Biomedical Sciences, Porto University, Porto, 4050-313, Portugal. jrmesquita@icbas.up.pt.
University of Trás-os-Montes and Alto Douro · PTUniversidade do Porto · PTPolytechnic Institute of Viseu · PTPolytechnic Institute of Castelo Branco · PTUniversidade Nova de Lisboa · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxiella burnetii is the etiologic agent of Q fever, a worldwide zoonosis. Cattle, sheep and goats are considered the main reservoirs of the disease. Transmission to humans occurs mainly through the inhalation of infectious aerosols from milk, faeces, urine, and birth products from infected ruminants. In this study, a 2-year longitudinal approach was performed to ascertain the excretion of C. burnetii in bulk tank milk samples of sheep from a mountain plateau in central Portugal, with sampling conducted during the years 2015 and 2016. From a total of 156 bulk tank milk samples tested by qPCR, only one showed to be positive for C. burnetii (1.28% [95%CI: 0.03-6.94]), from 2015, the first year of collection. Bidirectional sequencing and phylogenetic analysis of IS1111 transposase partial region confirmed the presence of C. burnetii DNA. The presence of C. burnetii in raw milk samples highlights the necessity for additional research to determine if raw milk is a potential source for human infection. Animal health surveillance and prevention measures against this zoonotic disease should be considered.

Indexed as

Coxiella burnetiiMilkQ FeverSheep DiseasesAnimalsLongitudinal StudiesPhylogenyPortugalSheepBulk milkCoxiella burnetiiOne healthPortugalSheep

Identifiers

PMID38656656
PMCPMC11315700
OpenAlexW4395079960

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.