| Title |
Discriminating Active from Latent Tuberculosis in Patients Presenting to Community Clinics
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0038080 |
| Pubmed ID | |
| Authors |
Gurjinder Sandhu, Francesca Battaglia, Barry K. Ely, Dimitrios Athanasakis, Rosario Montoya, Teresa Valencia, Robert H. Gilman, Carlton A. Evans, Jon S. Friedland, Delmiro Fernandez-Reyes, Daniel D. Agranoff |
| Abstract |
Because of the high global prevalence of latent TB infection (LTBI), a key challenge in endemic settings is distinguishing patients with active TB from patients with overlapping clinical symptoms without active TB but with co-existing LTBI. Current methods are insufficiently accurate. Plasma proteomic fingerprinting can resolve this difficulty by providing a molecular snapshot defining disease state that can be used to develop point-of-care diagnostics. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 78 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Master | 10 | 13% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Postgraduate | 5 | 6% |
| Unspecified | 4 | 5% |
| Other | 17 | 22% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 34% |
| Agricultural and Biological Sciences | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Unspecified | 4 | 5% |
| Immunology and Microbiology | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 20 | 25% |