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Record W4313428847 · doi:10.18103/mra.v10i12.3351

Complementary and Alternative Treatments for Postpartum Uterine Diseases in Dairy Cows

2022· article· en· W4313428847 on OpenAlexaff
Réjean Lefebvre

Bibliographic record

VenueMedical Research Archives · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineEndometritisAntibioticsDairy cattleMetritisPostpartum periodMastitisContext (archaeology)Intensive care medicineGynecologyPhysiologyObstetricsPregnancyLactationBiologyAnimal sciencePathology

Abstract

fetched live from OpenAlex

The goal of treating postpartum uterine diseases in dairy cows is to reach clinical cure in a reasonable amount of time and to improve reproductive performance while minimizing milk and meat residue issues. The ultimate goal is to reduce the economic losses caused by uterine diseases. This article focuses on postpartum uterine diseasess in dairy cows, in particular acute puerperal metritis, pyometra and endometritis. The usual treatment approach for these conditions is systemic or local antibiotic therapy to control bacterial growth. Based on clinical signs and bacteria identification using dependent- and independent-based methods, antibiotic use appears to be the most logical and effective therapeutic approach. However, despite considerable research, the treatment of uterine diseasess remains a subject of considerable controversy in the literature. Although some local and systemic antibiotic therapies are effective at mitigating the consequences of postpartum uterine diseases, antibiotic use in the current global context is a serious concern because it is associated with selective pressures on bacteria and the emergence of resistant bacteria in humans and animals. Research on mucosal immunology and the genital microbiota of cows has improved our understanding of uterine involution and how pathological agents behave during uterine diseases in dairy cows. And while antibiotic therapy remains the most common therapeutic option chosen by veterinarian practitioners to treat PUDs, complementary and alternative veterinary medicine is increasingly being considered in response to a demand from animal owners. However, because of the small number of randomized clinical trials and a lack of evidence-based medicine, there is widespread concern regarding the adequacy of evidence for the efficacy and safety of complementary and alternative veterinary medicine. The objectives of this article are to describe uterine involution and the main postpartum uterine diseases that occur during the postpartum period in dairy cows, briefly review the current approaches to treating postpartum uterine diseases, and critically review the evidence pertaining to complementary and alternative veterinary medicine in postpartum reproductive veterinary medicine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.383
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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