Validity of a CB-NAAT assay in diagnosing tuberculosis in comparison to culture: A study from an urban area of South India
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, ISSN: 2405-5794, Vol: 21, Page: 100198
2020
- 3Citations
- 2Usage
- 22Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
- Usage2
- Abstract Views2
- Captures22
- Readers22
- 22
Article Description
•CB-NAAT performance compared in 831 suspected pulmonary and extrapulmonary suspected cases.•The conventional stained smear and CB-NAAT results were compared to the MGIT culture.•Sensitivity and specificity of CB-NAAT was 84.43% and 94.93%.•The rapid results from CB-NAAT confirms its use in the tuberculosis diagnostic algorithm.•The benefits of disease diagnosis and prevention outweighs the price tag of the CB-NAAT tests.•This is more so for the resource poor countries where the burden of the disease is high.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2405579420300620; http://dx.doi.org/10.1016/j.jctube.2020.100198; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85095408116&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33204853; https://linkinghub.elsevier.com/retrieve/pii/S2405579420300620; https://impressions.manipal.edu/open-access-archive/58; https://impressions.manipal.edu/cgi/viewcontent.cgi?article=1057&context=open-access-archive; https://dx.doi.org/10.1016/j.jctube.2020.100198
Elsevier BV
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