| Title |
Evaluation of Genetic Mutations Associated with Mycobacterium tuberculosis Resistance to Amikacin, Kanamycin and Capreomycin: A Systematic Review
|
|---|---|
| Published in |
PLOS ONE, March 2012
|
| DOI | 10.1371/journal.pone.0033275 |
| Pubmed ID | |
| Authors |
Sophia B. Georghiou, Marisa Magana, Richard S. Garfein, Donald G. Catanzaro, Antonino Catanzaro, Timothy C. Rodwell |
| Abstract |
Rapid molecular diagnostics for detecting multidrug-resistant and extensively drug-resistant tuberculosis (M/XDR-TB) primarily identify mutations in Mycobacterium tuberculosis (Mtb) genes associated with drug resistance. Their accuracy, however, is dependent largely on the strength of the association between a specific mutation and the phenotypic resistance of the isolate with that mutation, which is not always 100%. While this relationship is well established and reliable for first-line anti-TB drugs, rifampin and isoniazid, it is less well-studied and understood for second-line, injectable drugs, amikacin (AMK), kanamycin (KAN) and capreomycin (CAP). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 3 | 1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 290 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 59 | 20% |
| Researcher | 46 | 15% |
| Student > Ph. D. Student | 46 | 15% |
| Student > Bachelor | 28 | 9% |
| Other | 17 | 6% |
| Other | 47 | 16% |
| Unknown | 54 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 23% |
| Biochemistry, Genetics and Molecular Biology | 52 | 18% |
| Medicine and Dentistry | 50 | 17% |
| Immunology and Microbiology | 27 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 3% |
| Other | 29 | 10% |
| Unknown | 63 | 21% |