Evidence map›Paper›PMID 36968459›Full record

ArticleFrontiers in veterinary science2023

Infectious abortions in small domestic ruminants in the Iberian Peninsula: Optimization of sampling procedures for molecular diagnostics.

Oihane Alzuguren, Lara Domínguez, Gema Chacón, Alfredo A Benito, Oscar Mencía-Ares

Open access · goldFull text read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.9field-weighted citation impact, top 5% 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, 14 citations in OpenAlex.

  1. Identification ofVeterinary research forum : an international quarterly journal · 2026
    Article
  2. First report on identification ofFrontiers in veterinary science · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Seroprevalence and Risk Factors Associated withAnimals : an open access journal from MDPI · 2024
    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

5 authors.

Oihane AlzugurenEXOPOL S.L., Zaragoza, Spain.
Lara DomínguezEXOPOL S.L., Zaragoza, Spain.
Gema ChacónEXOPOL S.L., Zaragoza, Spain.
Alfredo A BenitoEXOPOL S.L., Zaragoza, Spain.
Oscar Mencía-AresEXOPOL S.L., Zaragoza, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Infectious abortions have a major impact on small domestic ruminant farms, i.e., sheep and goats, both in terms of profitability and health status. Therefore, rapid and sensitive diagnosis is essential to minimize losses. Currently, molecular techniques, such as qPCR, are routinely used for their diagnosis, which imply the need to manipulate all abortive material, with consequent biosafety risks. Here, we evaluate the frequency of the main abortifacient pathogens in small domestic ruminants in the Iberian Peninsula and also assess an alternative approach for the optimization of sampling for molecular diagnosis. Results: A total of 392 clinical cases were analyzed from April 2020 to May 2021, evidencing that the main causative agents of abortion detected were Conclusions: This study reveals a high frequency of infectious etiology in abortions of small domestic ruminants in the Iberian Peninsula and validates for the first time an alternative sampling method for molecular diagnosis that will help to provide rapid and accurate results while minimizing biosafety risks.

Indexed as

abortifacient pathogenChlamydia abortusCoxiella burnetiifetal tonguegoatplacental swabqPCRsheep

Identifiers

PMID36968459
PMCPMC10033884
OpenAlexW4323666384

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
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.