Evidence map›Paper›PMID 32258070›Full record

SynthesisFrontiers in veterinary science2020

The Use of Meta-Analysis for the Measurement of Animal Disease Burden: Losses Due to Clinical Mastitis as an Example.

Didier Raboisson, Ahmed Ferchiou, Beate Pinior, Thomas Gautier, Pierre Sans, Guillaume Lhermie

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Frontiers in veterinary science · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Characterization ofMicroorganisms · 2022
    Article
  12. Evaluation of Control Program AgainstFrontiers in veterinary science · 2022
    Article
  13. Review
  14. Evaluation of haemoparasite andInternational journal for parasitology. Parasites and wildlife · 2021
    Article
  15. Animals : an open access journal from MDPI · 2021
    Review
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 at 3 institutions in 2 countries.

Didier RaboissonIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Ahmed FerchiouIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Beate PiniorFood Technology and Veterinary Public Health, Institute of Food Safety, University of Veterinary Medicine Vienna, Vienna, Austria.
Thomas GautierIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Pierre SansALISS, INRAE, Ivry-sur-Seine, ENVT, Toulouse, France.
Guillaume LhermieIHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France.
Interaction Hôtes Agents Pathogènes · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The literature contains an extensive panel of studies focusing on the costs of animal diseases. The losses of an agriculture holding can be influenced by many factors since farming is a complex system and diseases are closely interrelated. Meta-analysis can be used to detect effects (i.e., change in clinical mastitis losses here) across studies and to identify factors that may influence those effects. This includes the external validity of the published study results with regard to the input parameters and the internal validity of the study, particularly how other diseases related to the target disease were accounted for. Mixed-effect meta-regressions were performed to estimate the mean clinical mastitis losses per case across the literature and to elucidate to what extent clinical mastitis losses are influenced by (i) general factors, such as etiology; (ii) the types of losses that contribute to the total mastitis losses; and (iii) prices. In total, 82 observations from nine studies were included in the meta-analysis to assess mean clinical mastitis losses per case. The multivariate meta-regression showed that etiology significantly influenced the clinical mastitis loss per case. The mean loss was determined to be €224 per case for all published etiologies. In detail, mean losses equalled €457 and €101 per case of clinical mastitis due to gram-negative and gram-positive bacteria, respectively, and €428 and €74 per case of clinical mastitis due to

Indexed as

clinical mastitisdairy cowseconomicsetiologymeta-analysis

Identifiers

PMID32258070
PMCPMC7093557
OpenAlexW3011736450

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.