The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Cross-Priming Amplification for Rapid Detection of Mycobacterium tuberculosis in Sputum Specimens
Open accessAbstract
Cross-priming amplification (CPA) technology for tuberculosis diagnosis from sputum specimens was evaluated. The sensitivity of CPA from smear- and liquid culture-positive specimens was 96.9%, and that from smear-negative and liquid culture-positive specimens was 87.5%. The specificity of CPA in culture-negative specimens was 98.8%.
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EasyNAT uses isothermal cross-priming amplification technology for the qualitative detection of M. tuberculosis.
“The EasyNAT™ TB Isothermal Amplification Diagnostic Kit (short form: EasyNAT; Ustar, Biotechnologies Co. Ltd, Hangzhou, China) is an assay that uses isothermal cross-priming amplification technology for the qualitative detection of M. tuberculosis [22].”
From Evaluation of Xpert® MTB/RIF and Ustar EasyNAT™ TB IAD for diagnosis of tuberculous lymphadenitis of children in Tanzania: a prospective descriptive study (2016) · cites this paper as [22]
Citations
Cites
Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review
Steingart, K. R., Henry, M., Ng, V., Hopewell, P. C., Ramsay, A., Cunningham, J. A., Urbanczik, R., Perkins, M. D., Aziz, M. A., & Pai, M. (2006) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(06)70578-3 · Cited by 802
Iwamoto, T., Sonobe, T., & Hayashi, K. (2003) · Journal of Clinical Microbiology · doi:10.1128/jcm.41.6.2616-2622.2003 · Cited by 617
Boehme, C. C., Nabeta, P., Henostroza, G., Raqib, R., Rahim, Z., Gerhardt, M., Sanga, E., Höelscher, M., Notomi, T., Hase, T., et al. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.02352-06 · Cited by 342
Abe, C., Hirano, K., Wada, M., et al. (1993) · Journal of Clinical Microbiology · doi:10.1128/jcm.31.12.3270-3274.1993 · Cited by 204
Chow, W. H. A., McCloskey, C. B., Tong, Y., et al. (2008) · Journal of Molecular Diagnostics · doi:10.2353/jmoldx.2008.080008 · Cited by 113
Evaluation of Amplicor PCR for direct detection of Mycobacterium tuberculosis from sputum specimens
Beavis, K. G., Lichty, M. B., Jungkind, D. L., et al. (1995) · Journal of Clinical Microbiology · doi:10.1128/jcm.33.10.2582-2586.1995 · Cited by 86
Rapid-Cycle PCR and Fluorimetry for Detection of Mycobacteria
Lachnik, J., Ackermann, B., Bohrßen, A., et al. (2002) · Journal of Clinical Microbiology · doi:10.1128/jcm.40.9.3364-3373.2002 · Cited by 83
Yeboah‐Manu, D., Yates, M. D., & Wilson, S. M. (2001) · Journal of Clinical Microbiology · doi:10.1128/jcm.39.11.4166-4168.2001 · Cited by 62
Down, J. A., O'Connell, M. A., Dey, M., et al. (1996) · Journal of Clinical Microbiology · doi:10.1128/jcm.34.4.860-865.1996 · Cited by 39
Shen, G., Zha, J., Xu, L., et al. (2005) · PubMed · Cited by 14
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Research works printed but not linked: 1
- Kong, H., T. Ranalli, and B. Lemieux. 2007. New isothermal molecular diagnostics platforms. IVD Technol. 13:35-43.
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Rapid Detection of Mycobacterium tuberculosis by Recombinase Polymerase Amplification
Boyle, D. S., McNerney, R., Teng Low, H., Leader, B. T., Pérez-Osorio, A. C., Meyer, J. C., O'Sullivan, D. M., Brooks, D. G., Piepenburg, O., & Forrest, M. S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103091 · Cited by 164
Bholla, M., Kapalata, N., Masika, E., Chande, H., Jugheli, L., Sasamalo, M., Glass, T. R., Beck, H.-P., & Reither, K. (2016) · BMC Infectious Diseases · doi:10.1186/s12879-016-1578-z · Cited by 31
“tuberculosis [22].”
Ou, X., Song, Y., Zhao, B., Li, Q., Xia, H., Zhou, Y., Pang, Y., Wang, S., Zhang, Z., Cheng, S., et al. (2014) · Tuberculosis · doi:10.1016/j.tube.2014.04.006 · Cited by 29
Detection of Mycobacterium tuberculosis by EasyNAT Diagnostic Kit in Sputum Samples from Tanzania
Mhimbira, F. A., Bholla, M., Sasamalo, M., Mukurasi, W., Hella, J. J., Jugheli, L., & Reither, K. (2015) · Journal of Clinical Microbiology · doi:10.1128/jcm.03037-14 · Cited by 17
Metadata
- Authors
- Fang, R., Li, X., Hu, L., You, Q., Li, J., Wu, J., Xu, P., Zhong, H., Luo, Y., Mei, J., & Gao, Q.
- Affiliations
- Shanghai Medical College of Fudan University (CN)
- Ustar Biotechnologies (China) (CN)
- Shanghai Municipal Center For Disease Control Prevention (CN)
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2009-03
- Volume
- 47
- Issue
- 3
- Pages
- 845-847
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- PMC
- PMC2650920
- OpenAlex
- W2167026482
- Cited by
- 167
- References
- 10
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 17 · 2023: 11 · 2022: 9 · 2021: 11 · 2020: 11 · 2019: 9 · 2018: 9 · 2017: 9 · 2016: 13 · 2015: 17 · 2014: 12 · 2013: 7 · 2012: 8
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Microbiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fogarty International Center (D43TW007887)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Keywords
- cross-priming amplification, Mycobacterium tuberculosis, tuberculosis diagnosis, sputum samples, nucleic acid amplification, smear-negative tuberculosis, liquid culture, sensitivity and specificity
- MeSH terms
- Base Sequence, Humans, Molecular Sequence Data, Mycobacterium tuberculosis, Sensitivity and Specificity, Sputum, Tuberculosis, DNA Primers, Nucleic Acid Amplification Techniques
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