Evidence map›Paper›PMID 41012778›Full record

ArticleVeterinary sciences2025

Prevalence and Consequences of Swine Inflammation and Necrosis Syndrome (SINS) in French Herds.

Sandy Micout, Hervé Fortune, Gerald Reiner

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Feeding of Undocked Pigs: Effects of Feed Components and Feed Composition.Animals : an open access journal from MDPI · 2026
    Review
  4. 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

3 authors.

Sandy MicoutSwine Industry Expertise, ADM France, Route de Talhouët, 56250 Saint Nolff, France.ORCID 0009-0007-0381-8915
Hervé FortuneSwine Industry Expertise, ADM France, Route de Talhouët, 56250 Saint Nolff, France.ORCID 0009-0008-9955-4332
Gerald ReinerClinic for Swine-Herd Health Management and Molecular Diagnostics, Department of Veterinary Clinical Sciences, Justus-Liebig-University Giessen, Frankfurter Strasse 112, 35392 Giessen, Germany.ORCID 0000-0002-4284-0345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new, primarily endogenous syndrome affecting pigs from birth to fattening is associated with inflammation and necrosis of the tail, ears, teats, coronary band, heels, and claws. This disease negatively impacts the health, performance, and welfare of the animals. The present study aimed to determine the prevalence of the syndrome in typical herds in France and to investigate the associations between SINS, age and sex of the piglets and parameters of reproductive performance of the herds. Data from 2377 suckling piglets aged 1 to 4 days from 16 French farms were evaluated. SINS signs were found in 85.5% of the piglets. There were striking differences between farms, ranging from 68.5% to 95.6% affected piglets. The heels and coronary bands were the most commonly affected areas, at 61.4% and 58.6%, respectively. Alterations at the tail, ears, face, or teats were observed in 46% of the piglets. At least 3 body parts were affected per litter, and all examined body parts were affected on farms. The number of piglets born was significantly reduced in SINS. Screening was easy to implement and required only reasonable time management. It was also integrated into the zootechnical measures on the farms. The SINS lesion scoring system for piglets at birth appears to be a relevant indicator of animal health and welfare, as well as farm economic efficiency.

Indexed as

animal welfareinflammationreproductive performanceSINSsswine

Identifiers

PMID41012778
PMCPMC12474076

What OpenQuestion holds

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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.