A systematic review and meta-analysis

In-depth literature search spanning from 1975 to 2023 to cover different production diseases in dairy cattle. Physiological systems evaluated: reproductive, mammary, metabolic, integumentary, immune, musculoskeletal, digestive, and respiratory. Original research in the English language. The searches specifically targeted documents published in peer-reviewed journals and written in English. The search process yielded a total of 3,349 records. These records underwent a two-stage filtering process, initially screening the titles and abstracts. From this initial screening, 505 articles were deemed relevant and were then imported into SAS 9.4, where additional analysis was conducted using SAS integrated with Python and the NLTK (Natural Language Toolkit) library for basic full-text analysis. The rigorous search and filtering process ensured that a comprehensive and representative set of articles was included in the study, providing a robust foundation for the meta-analysis and systematic review of the identified traits related to production diseases in dairy cows. The studies included in the data extraction process met specific criteria for inclusion.

本研究开展了1975年至2023年的深度文献检索，以覆盖奶牛各类生产疾病相关研究。本次评估的生理系统包括：生殖系统、乳腺系统、代谢系统、被皮系统、免疫系统、肌肉骨骼系统、消化系统及呼吸系统。检索限定仅收录英语原创研究，且目标文献均为经同行评议的期刊论文。本次检索共获取3349条文献记录，随后对其开展两阶段筛选：首先通过标题与摘要进行初筛，最终筛选出505篇相关文献，并将其导入SAS 9.4软件中；后续结合Python与自然语言工具包（Natural Language Toolkit，NLTK）库对文献全文开展基础分析。严格的检索与筛选流程确保本研究纳入的文献集兼具全面性与代表性，为奶牛生产疾病相关性状的元分析（meta-analysis）与系统综述提供了坚实的研究基础。进入数据提取环节的文献均满足预设的纳入标准。