A scoping review of autoantibodies as biomarkers for canine autoimmune disease.

A scoping review of autoantibodies as biomarkers for canine autoimmune disease.
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DOI:
10.1111/jvim.16392
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发表时间:
2022-03
影响因子:
2.6
通讯作者:
Friedenberg SG
Friedenberg SG
中科院分区:
农林科学2区
文献类型:
--
作者:
Treeful AE;Coffey EL;Friedenberg SG

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自身抗体生物标志物是用于诊断和管理犬自身免疫性疾病的有价值的工具。然而,先前的出版物已经引起了对在兽医学中使用生物标志物缺乏标准化和充分验证的担忧。系统地汇编犬自身免疫性疾病自身抗体生物标志物的初步研究,总结其方法学特征,并评估其质量;将支持其使用的数据合成为兽医和研究人员的资源。未使用。检索了五个指数来识别可供评估的研究:PubMed、CAB Abstracts、Web of Science、Agricola和SCOPUS。两名独立评审员(AET和ELC)根据排除标准筛选标题和摘要,然后对其余文章进行全文评审。根据研究目的(生物标志物、表位、技术)对相关研究进行分类。研究特征和结局的数据在每个分类的独立数据表中进行了合成。92项研究符合最终分析的条件(n = 49项生物标志物,n = 9项表位,n = 34项技术研究)。观察到研究特征和结局报告的高度异质性。加强未来研究的机会可能包括:(1)常规使用阴性对照,(2)功效分析,以告知样本量,(3)适当时进行统计分析,以及(4)多种检测技术以确认结果。这些发现提供了一种资源,使兽医临床医生能够有效地评估支持使用自身抗体生物标志物的证据,沿着在其开发中使用的各种方法学方法。
Autoantibody biomarkers are valuable tools used to diagnose and manage autoimmune diseases in dogs. However, prior publications have raised concerns over a lack of standardization and sufficient validation for the use of biomarkers in veterinary medicine. Systematically compile primary research on autoantibody biomarkers for autoimmune disease in dogs, summarize their methodological features, and evaluate their quality; synthesize data supporting their use into a resource for veterinarians and researchers. Not used. Five indices were searched to identify studies for evaluation: PubMed, CAB Abstracts, Web of Science, Agricola, and SCOPUS. Two independent reviewers (AET and ELC) screened titles and abstracts for exclusion criteria followed by full‐text review of remaining articles. Relevant studies were classified based on study objectives (biomarker, epitope, technique). Data on study characteristics and outcomes were synthesized in independent data tables for each classification. Ninety‐two studies qualified for final analysis (n = 49 biomarker, n = 9 epitope, and n = 34 technique studies). A high degree of heterogeneity in study characteristics and outcomes reporting was observed. Opportunities to strengthen future studies could include: (1) routine use of negative controls, (2) power analyses to inform sample sizes, (3) statistical analyses when appropriate, and (4) multiple detection techniques to confirm results. These findings provide a resource that will allow veterinary clinicians to efficiently evaluate the evidence supporting the use of autoantibody biomarkers, along with the varied methodological approaches used in their development.
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