Pai, Madhukar

Tuberculosis

Pai, M., Behr, M. A., Dowdy, D., Dheda, K., Divangahi, M., Boehme, C. C., Ginsberg, A., Swaminathan, S., Spigelman, M., Getahun, H., et al. (2016) · Nature Reviews Disease Primers

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 1,270

Official American Thoracic Society/Infectious Diseases Society of America/Centers for Disease Control and Prevention Clinical Practice Guidelines: Diagnosis of Tuberculosis in Adults and Children

Lewinsohn, D. M., Leonard, M. K., LoBue, P. A., Cohn, D. L., Daley, C. L., Desmond, E., Keane, J., Lewinsohn, D. A., Loeffler, A. M., Mazurek, G. H., et al. (2017) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 992

Interferon-γ assays in the immunodiagnosis of tuberculosis: a systematic review

Pai, M., Riley, L. W., & Colford, J. M. (2004) · The Lancet Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 913

Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a systematic review and meta-analysis

Denkinger, C. M., Schumacher, S. G., Boehme, C. C., Dendukuri, N., Pai, M., & Steingart, K. R. (2014) · European Respiratory Journal

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 527

Will global health survive its decolonisation?

Abimbola, S., & Pai, M. (2020) · The Lancet

Decolonial Thought and EpistemologiesGlobal Health and Surgery

Cited by 408

Diagnostic accuracy of nucleic acid amplification tests for tuberculous meningitis: a systematic review and meta-analysis

Pai, M., Flores, L. L., Pai, N., Hubbard, A., Riley, L. W., & Colford, J. M. (2003) · The Lancet Infectious Diseases

Infectious Diseases and TuberculosisBacterial Identification and Susceptibility Testing

Cited by 384

Addressing power asymmetries in global health: Imperatives in the wake of the COVID-19 pandemic

Abimbola, S., Asthana, S., Montenegro, C., Guinto, R. R., Jumbam, D. T., Louskieter, L., Kabubei, K. M., Munshi, S., Muraya, K., Okumu, F., et al. (2021) · PLOS Medicine

Global Health and SurgeryDecolonial Thought and Epistemologies

Cited by 271

Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults

Steingart, K. R., Sohn, H., Schiller, I., Kloda, L. A., Boehme, C. C., Pai, M., & Dendukuri, N. (2013) · Cochrane Database of Systematic Reviews

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 253

A multinational Delphi consensus to end the COVID-19 public health threat

Lazarus, J. V., Romero, D., Kopka, C. J., Karim, S. A., Abu-Raddad, L. J., Almeida, G., Baptista-Leite, R., Barocas, J. A., Barreto, M. L., Bar-Yam, Y., et al. (2022) · Nature

COVID-19 epidemiological studiesLegal, Health, Environmental and COVID-19 Challenges

Cited by 226

Tuberculosis Diagnostics in 2015: Landscape, Priorities, Needs, and Prospects

Pai, M., & Schito, M. (2015) · The Journal of Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 193

Antibiotic overuse in the primary health care setting: a secondary data analysis of standardised patient studies from India, China and Kenya

Sulis, G., Daniels, B., Kwan, A., Gandra, S., Daftary, A., Das, J., & Pai, M. (2020) · BMJ Global Health

Antibiotic Use and ResistanceHealthcare cost, quality, practices

Cited by 132

Transforming tuberculosis diagnosis

Pai, M., Dewan, P. K., & Swaminathan, S. (2023) · Nature Microbiology

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 126

Bayesian Meta‐Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference

Dendukuri, N., Schiller, I., Joseph, L., & Pai, M. (2012) · Biometrics

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 117

Sales of antibiotics and hydroxychloroquine in India during the COVID-19 epidemic: an interrupted time series analysis

Sulis, G., Batomen, B., Kotwani, A., Pai, M., & Gandra, S. (2021) · PLoS Medicine

Antibiotic Use and ResistanceCOVID-19 and healthcare impacts

Cited by 117

It is not too late to achieve global covid-19 vaccine equity

Yamey, G., Garcia, P., Hassan, F., Mao, W., McDade, K. K., Pai, M., Saha, S., Schellekens, P., Taylor, A., & Udayakumar, K. (2022) · BMJ

Vaccine Coverage and HesitancySARS-CoV-2 and COVID-19 Research

Cited by 114

Xpert MTB/RIF Testing in a Low Tuberculosis Incidence, High-Resource Setting: Limitations in Accuracy and Clinical Impact

Sohn, H., Aero, A. D., Menzies, D., Behr, M., Schwartzman, K., Alvarez, G. G., Dan, A., McIntosh, F., Pai, M., & Denkinger, C. M. (2014) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 95

Scientific advances and the end of tuberculosis: a report from the Lancet Commission on Tuberculosis

Reid, M., Agbassi, Y. J. P., Arinaminpathy, N., Bercasio, A., Bhargava, A., Bhargava, M., Bloom, A., Cattamanchi, A., Chaisson, R., Chin, D., et al. (2023) · The Lancet

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 87

Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India

Nash, M., Kadavigere, R., Andrade, J., Sukumar, C. A., Chawla, K., Shenoy, V. P., Pande, T., Huddart, S., Pai, M., & Saravu, K. (2020) · Scientific Reports

COVID-19 diagnosis using AITuberculosis Research and Epidemiology

Cited by 86

Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy

Tavaziva, G., Harris, M., Abidi, S. K., Geric, C., Breuninger, M., Dheda, K., Esmail, A., Muyoyeta, M., Reither, K., Majidulla, A., et al. (2022) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 79

India’s syndemic of tuberculosis and COVID-19

Shrinivasan, R., Rane, S., & Pai, M. (2020) · BMJ Global Health

Tuberculosis Research and EpidemiologyGenetics, Aging, and Longevity in Model Organisms

Cited by 71

Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): A randomised trial and cost-effectiveness analysis

MacPherson, P., Webb, E. L., Kamchedzera, W., Joekes, E., Mjoli, G., Lalloo, D. G., Divala, T. H., Choko, A. T., Burke, R. M., Maheswaran, H., et al. (2021) · PLOS Medicine

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 69

Performance of Xpert MTB/RIF on pleural tissue for the diagnosis of pleural tuberculosis

Christopher, D. J., Schumacher, S. G., Michael, J. S., Luo, R., Balamugesh, T., Duraikannan, P., Pollock, N. R., Pai, M., & Denkinger, C. M. (2013) · European Respiratory Journal

Tuberculosis Research and EpidemiologyPleural and Pulmonary Diseases

Cited by 60

Computer-aided reading of tuberculosis chest radiography: moving the research agenda forward to inform policy

Ahmad Khan, F., Pande, T., Tessema, B., Song, R., Benedetti, A., Pai, M., Lönnroth, K., & Denkinger, C. M. (2017) · European Respiratory Journal

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 59

Rapid diagnosis of extrapulmonary tuberculosis using nucleic acid amplification tests: what is the evidence?

Pai, M., & Ling, D. I. (2008) · Future Microbiology

Tuberculosis Research and EpidemiologyDiagnosis and treatment of tuberculosis

Cited by 37