التفاصيل البيبلوغرافية
| العنوان: |
Evaluation of lateral flow immunochromatographic assay for diagnostic accuracy of cryptococcosis |
| المؤلفون: |
Li-Min Xie, Geng-Ling Lin, Hao-Neng Dong, Ying-Xia Liao, Ye-Ling Liu, Jian-Feng Qin, Xu-Guang Guo |
| المصدر: |
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-8 (2020) |
| بيانات النشر: |
BMC, 2020. |
| سنة النشر: |
2020 |
| المجموعة: |
LCC:Infectious and parasitic diseases |
| مصطلحات موضوعية: |
Lateral flow immunochromatographic assay, Lateral flow assay, Cryptococcosis, Diagnostic, Infectious and parasitic diseases, RC109-216 |
| الوصف: |
Abstract Background Cryptococcus is a conditional pathogenic fungus causing cryptococcosis, which is one of the most serious fungal diseases faced by humans. Lateral flow immunochromatographic assay (LFA) is successfully applied to the rapid detection of cryptococcal antigens. Methods Studies were retrieved systematically from the Embase, PubMed, Web of Science, and Cochrane Library before July 2019. The quality of the studies was assessed by Review Manager 5.0 based on the Quality Assessment of Diagnostic Accuracy Study guidelines. The extracted data from the included studies were analyzed by Meta-DiSc 1.4. Stata 12.0 software was used to detect the publication bias. Results A total of 15 articles with 31 fourfold tables were adopted by inclusion and exclusion criteria. The merged sensitivity and specificity in serum were 0.98 and 0.98, respectively, and those in the cerebrospinal fluid were 0.99 and 0.99, respectively. Conclusions Compared to the urine and other samples, LFA in serum and cerebrospinal fluid is favorable evidence for the diagnosis of cryptococcosis with high specificity and sensitivity. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
1471-2334 |
| Relation: |
http://link.springer.com/article/10.1186/s12879-020-05368-x; https://doaj.org/toc/1471-2334 |
| DOI: |
10.1186/s12879-020-05368-x |
| URL الوصول: |
https://doaj.org/article/bcb07cb7bcf2492a85c653e2779af81e |
| رقم الانضمام: |
edsdoj.bcb07cb7bcf2492a85c653e2779af81e |
| قاعدة البيانات: |
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