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Journals / Arşiv Kaynak Tarama Dergisi / 2016 / Cilt: 25 - Sayı: 4

Usage of Latent Class Analysis in Diagnostic Microbiology in the Absence of Gold Standard Test

Tanısal Mikrobiyolojide Altın Standart Testin Yokluğunda Gizli Sınıf Analizinin Kullanımı

E Arzu KANIK
Gül BAYRAMABİHA
Pages
467–488
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

When we took into account all of these tests’ results, we suppose that LCA is a good statistical analysis method to assess different test performances in the absence of gold standard

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The evaluation of performance of various tests diagnostic tests in the absence of gold standard is an important problem.
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Key Findings & Data:We aimed to evaluate performance of latent class analysis method used microbiological diagnosis in various diseases in several researches.
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Conclusion & Impact:When we took into account all of these tests’ results, we suppose that LCA is a good statistical analysis method to assess different test performances in the absence of gold standard
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The evaluation of performance of various tests diagnostic tests in the absence of gold standard is an important problem. Latent class analysis (LCA) is a statistical analysis method known for many years, especially in the absence of a gold standard for evaluation of diagnostic tests so that LCA has found its wide application area. During the last decade, LCA method has widely used in for determining sensivity and specifity of different microbiological tests. It has investigated in the diagnosis of mycobacterium tuberculosis, mycobacterium bovis, human papilloma virus, bordetella pertussis, influenza viruses, hepatitis E virus (HEV), hepatitis C virus (HCV) and other various viral infections. Researchers have compared several diagnostic tests for the diagnosis of different pathogens with LCA. We aimed to evaluate performance of latent class analysis method used microbiological diagnosis in various diseases in several researches. When we took into account all of these tests’ results, we suppose that LCA is a good statistical analysis method to assess different test performances in the absence of gold standard

Özet

Altın standardın olmadığı çeşitli tanı testlerinin performansının belirlenmesi enfeksiyon hastalıklarının tanısında önemli bir problemdir. Gizli sınıf analizi (GSA), özellikle altın standardın olmadığı tanı testlerinin değerlendirilmesinde, uzun yıllardır bilinen bir istatistiksel analiz yöntemidir. Bu yüzden GSA kendisine geniş bir uygulama alanı bulmuştur. Son on yılda GSA yöntemi çeşitli mikrobiyolojik testlerin duyarlılığının ve özgüllüğünün belirlenmesi için büyük ölçüde kullanılmıştır. Bu test, Mycobacterium tuberculosis, Mycobacterium bovis, human papilloma virüs, Bordetella pertussis, influenza virüsleri, hepatitis E virüs (HEV), hepatit C virüs (HCV) ve diğer viral enfeksiyonların tanısında araştırılmıştır. Araştırmacılar çeşitli tanı testlerinin performansını GSA ile farklı patojenlerin tanısında karşılaştırmışlardır. Bu çalışmada birçok hastalığın mikrobiyolojik tanısında GSA yönteminin performansının değerlendirildiği çeşitli araştırmaların derlenmesi amaçlanmıştır. Tüm testlerin sonuçlarını göz önüne aldığımızda, GSA yönteminin, altın standardın olmadığı farklı testlerin performansının değerlendirilmesinde iyi bir istatistiksel analiz yöntemi olduğunu düşünmekteyiz

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Cite This Article

KANIK, E. A., BAYRAMABİHA, G. (2022). Usage of Latent Class Analysis in Diagnostic Microbiology in the Absence of Gold Standard Test. Arşiv Kaynak Tarama Dergisi, Cilt: 25 - Sayı: 4, 467–488. https://ajindex.com/articles/449280

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