Evidence map›Paper›PMID 39415303›Full record

ArticlePorcine health management2024

Estimating the individual stillborn rate from easy-to-collect sow data on farm: an application of the bayesian network model.

Charlotte Teixeira Costa, Gwenaël Boulbria, Christophe Dutertre, Céline Chevance, Théo Nicolazo, Valérie Normand, Justine Jeusselin, Arnaud Lebret

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Porcine health management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Charlotte Teixeira CostaRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France. c.teixeira-costa@rezoolution.fr.
Gwenaël BoulbriaRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.
Christophe DutertreHumanoIA, 338 route de Philondenx, Cabidos, 64410, France.
Céline ChevanceRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.
Théo NicolazoRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.
Valérie NormandRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.
Justine JeusselinRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.
Arnaud LebretRezoolution, ZA de Gohélève, Noyal-Pontivy, 56920, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high number of stillborn piglets has a negative impact on production and animal welfare. It is an important contributor to piglet mortality around farrowing and continues to rise with the increase of prolificacy. The objective of this study was to build a predictive model of the stillborn rate.

resultsThis study was performed on two farrow-to-finish farms and one farrow-to-wean farm located in Brittany, France. At each farm, the number of total born (TB), born alive (BA), stillborn piglets (S), the same data at the previous farrowing (TB

conclusionOur results highlight the impact of parity, previous prolificacy and stillborn rate on the probability of stillborn. Moreover, the importance of backfat thickness, especially in old sows, must be considered. This information can help farmers classify and manage sows according to their risk of giving birth to stillborn piglets.

Indexed as

Bayesian networksDecision-making toolFarrowingPredictive modelSowStillborn piglets

Identifiers

PMID39415303
PMCPMC11484292

What OpenQuestion holds

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LicenceCC BY
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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.