Accuracy of the Phenotypic 1G Test to Detect <i>Mycobacterium tuberculosis</i> and Drug Resistance From Sputa in the US-Mexico Border

The 1G test is a low-complexity phenotypic TB diagnostic method that is a practical replacement to current culture-based tests. Future studies are warranted to evaluate the implementation of the 1G test in decentralized clinics that lack molecular tools, resources and expertise.

Authors

Institutions

Publication Details

Journal
The Journal of Infectious Diseases
Published
2025-12-17
DOI
https://doi.org/10.1093/infdis/jiaf638
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy of the Phenotypic 1G Test to Detect Mycobacterium tuberculosis and Drug Resistance From Sputa in the US-Mexico Border

Raúl Loera-Salazar, Esperanza M. García-Oropesa, America M. Cruz-Gonzalez, Adrián Rendón et al.
The Journal of Infectious Diseases
Tuberculosis Research and Epidemiology
article

Accuracy of the Phenotypic 1G Test to Detect Mycobacterium tuberculosis and Drug Resistance From Sputa in the US-Mexico Border

Raúl Loera-Salazar, Esperanza M. García-Oropesa, America M. Cruz-Gonzalez, Adrián Rendón, Javier E. Rodríguez-Herrera, Blanca I. Restrepo, Amberlee Hicks, Marcel Yotebieng, Carlton A. Evans, Doris Handina Ordóñez Ayala, Martinez-Lopez Yoscelina Estrella, Nadine M. Chacon, Ilse A. Dominguez-Trejo, Ashley Gay-Cobb, Selena Zavala-Perez, Juan Ignacio Garcia, Jordi B Torrelles, Alyssa Schami, Shu-Hua Wang, Miryoung Lee, Mia Aguirre
article en

Abstract

The 1G test is a low-complexity phenotypic TB diagnostic method that is a practical replacement to current culture-based tests. Future studies are warranted to evaluate the implementation of the 1G test in decentralized clinics that lack molecular tools, resources and expertise.

The Journal of Infectious Diseases
Albert Einstein College of Medicine (US), Universidad Peruana Cayetano Heredia (PE), The University of Texas Rio Grande Valley (US), Secretaria de Salud (MX), Secretaria de Salud (HN), Dirección de Investigación y Desarrollo (CL), Hospital Universitario Dr José Eleuterio Gonzalez (MX), The University of Texas Health Science Center (US), International Biomedical (United States) (US), Imperial College London (GB), The Ohio State University (US), Autonomous University of Tamaulipas (MX), United Nations Population Fund (US), The University of Texas Health Science Center at Houston (US)
Secretaría de Salud, National Institutes of Health, National Institute on Aging, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 31%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.