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Profiling Detection and Classification of Lameness Methods in British Dairy Cattle Research: A Systematic Review and Meta-Analysis

机译:英国乳品养牛研究中跛足方法的分析检测和分类:系统审查与荟萃分析

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Lameness is a serious concern in the dairy sector, reflecting its high incidence and impact on animal welfare and productivity. Research has provided figures on its frequency using different methodologies, making it difficult to compare results and hindering farm-level decision-making. The study’s objectives were to determine the frequency levels of lameness in British dairy cattle through a meta-analysis approach, and to understand the chronological patterns of how lameness cases are detected and classified in scientific research. A systematic review was conducted using PRISMA-P guidelines for article selection. Random-effects models estimated the pooled frequency measure of lameness with heterogeneity managed through subgroup analysis and meta-regression. Sixty-eight papers were identified, 50 included prevalence and 36 incidence data. The pooled prevalence of lameness in British dairy cattle was estimated at 29.5% (95% CI 26.7% - 32.4%) whilst all-cause lameness incidence rate indicated 30.9 cases of lameness per 100 cow-years (95% CI 24.5 - 37.9). The pooled cause-specific lameness incidence rate per 100 cow-years was 66.1 (95% CI 24.1 – 128.8) for white line disease, 53.2 (95% CI 20.5 – 101.2) for sole ulcer, 53.6 (95% CI 19.2 – 105.34) for digital dermatitis, with 51.9 (95% CI 9.3 - 129.2) attributable to other lameness-related lesions. Heterogeneity levels remained high.. Sixty-nine papers contributed to a chronological overview of lameness data source. Although the AHDB Dairy mobility scoring system (MSS) was launched in the UK in 2008 and adopted shortly after by the British Dairy sector as the standard tool for assessing lameness, other methods are used depending on the investigator. Automated lameness detection systems may offer a solution for the subjective nature of MSSs, yet it was utilised in one study only. Despite the recognition of under-reporting of lameness from farm records 22 (31.9%) studies used this data source. The diversity of lameness data collection methods and sources was a key finding. It limits the understanding of lameness burden and the refinement of policy making for lameness. Standardising case definition and research methods would improve knowledge of and ability to manage lameness. Regardless of the measurement method lameness in British dairy cattle is high.
机译:跛行是乳制品行业的严重关切,反映了其对动物福利和生产力的高发病率和影响。研究提供了使用不同方法的频率的数字,使得难以比较结果和妨碍农业水平决策。该研究的目标是通过元分析方法确定英国乳制品牛的频率水平,并了解在科学研究中检测到跛足病例的时间顺序模式。使用Prisma-P用于物品选择的指南进行系统审查。随机效应模型估计通过亚组分析和元回归管理的异质性的跛足频率测量。鉴定了六十八篇论文,50篇包括患病率和36个发病率数据。英国乳制牛的跛足流行率估计为29.5%(95%CI 26.7% - 32.4%),而全部导致跛足发病率表示为30.9例跛足/每100牛年(95%CI 24.5 - 37.9)。每100款牛年的汇集原因特异性跛足发病率为66.1(95%CI 24.1-128.8),用于白线病,53.2(95%CI 20.5-101.2),用于唯一的溃疡,53.6(95%CI 19.2-105.34)对于数字性皮炎,可归因于其他与其他跛足相关病变的51.9(95%CI 9.3 - 129.2)。异质性水平仍然很高。六十九个论文有助于跛足数据源的时间顺序概述。虽然AHDB Dairy Mobility评分系统(MS)于2008年在英国推出,但英国乳制品部门不久通过了作为评估跛行的标准工具,取决于调查员使用其他方法。自动跛足检测系统可以为MSSS的主观性质提供解决方案,但它仅在一项研究中使用。尽管识别出来自农场记录22(31.9%)研究的报告额外的跛行,但研究了这些数据来源。跛足数据收集方法和来源的多样性是一个关键发现。它限制了对跛足负担的理解和跛行的政策制定的改进。标准化案例定义和研究方法可以提高管理跛行的知识和能力。无论英国乳制品中的测量方法跛足都很高。

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