N
Neel R. Gandhi
Researcher at Albert Einstein College of Medicine
Publications - 51
Citations - 6559
Neel R. Gandhi is an academic researcher from Albert Einstein College of Medicine. The author has contributed to research in topics: Tuberculosis & Medicine. The author has an hindex of 24, co-authored 29 publications receiving 6248 citations. Previous affiliations of Neel R. Gandhi include Yeshiva University & Yale University.
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Journal ArticleDOI
Extensively drug-resistant tuberculosis as a cause of death in patients co-infected with tuberculosis and HIV in a rural area of South Africa
Neel R. Gandhi,Neel R. Gandhi,Anthony P. Moll,A. Willem Sturm,Robert Pawinski,Thiloshini Govender,Umesh G. Lalloo,Kimberly Zeller,Kimberly Zeller,Jason R. Andrews,Gerald Friedland +10 more
TL;DR: MDR tuberculosis is more prevalent than previously realised in a rural area in KwaZulu Natal, South Africa and has been transmitted to HIV co-infected patients and is associated with high mortality.
Journal ArticleDOI
Multidrug-resistant and extensively drug-resistant tuberculosis: a threat to global control of tuberculosis
Neel R. Gandhi,Paul Nunn,Keertan Dheda,Keertan Dheda,H. Simon Schaaf,Matteo Zignol,Dick van Soolingen,Paul A. Jensen,Jaime Bayona +8 more
TL;DR: The emergence of multidrug resistant (MDR) and extensively drug-resistant (XDR) tuberculosis during the past decade threatens to undermine the progress made to reduce global incidence of drug-susceptible tuberculosis as mentioned in this paper.
Tuberculosis 2 Multidrug-resistant and extensively drug-resistant tuberculosis: a threat to global control of tuberculosis
Stop Tb,Neel R. Gandhi,Paul Nunn,Keertan Dheda,H. Simon Schaaf,Matteo Zignol,Dick van Soolingen,Paul A. Jensen,Jaime Bayona +8 more
TL;DR: Major improvements in laboratory capacity, infection control, performance of tuberculosis control programmes, and treatment regimens for both drug-susceptible and drug- resistant disease will be needed, together with a massive scale-up in diagnosis and treatment of MDR and XDR tuberculosis to prevent drug-resistant strains from becoming the dominant form of tuberculosis.
Journal ArticleDOI
Multidrug Resistant Pulmonary Tuberculosis Treatment Regimens and Patient Outcomes: An Individual Patient Data Meta-analysis of 9,153 Patients
Shama D. Ahuja,David Ashkin,Monika Avendano,Rita Banerjee,Melissa Bauer,Jamie N. Bayona,Mercedes C. Becerra,Mercedes C. Becerra,Andrea Benedetti,Marcos Burgos,Rosella Centis,Eward D. Chan,Chen Yuan Chiang,Helen Cox,Lia D'Ambrosio,Kathy DeRiemer,Nguyen Huy Dung,Donald A. Enarson,Dennis Falzon,Katherine Flanagan,Jennifer Flood,Maria de Lourdes García-García,Neel R. Gandhi,Reuben Granich,Maria G. Hollm-Delgado,Timothy H. Holtz,Michael D. Iseman,Leah G. Jarlsberg,Salmaan Keshavjee,Hye-Ryoun Kim,Won-Jung Koh,Joey Lancaster,Christophe Lange,Wiel C M de Lange,Vaira Leimane,Chi Chiu Leung,Jiehui Li,Dick Menzies,Giovanni Battista Migliori,Sergey P. Mishustin,Carole D. Mitnick,Masa Narita,Philly O'Riordan,Madhukar Pai,Domingo Palmero,Seung-kyu Park,Geoffrey Pasvol,José María Peña,Carlos Pérez-Guzmán,M. I. D. Quelapio,Alfredo Ponce-de-León,Vija Riekstina,Jérôme Robert,Sarah Royce,H. Simon Schaaf,Kwonjune J. Seung,Lena Shah,Tae Sun Shim,Sonya Shin,Yuji Shiraishi,José Sifuentes-Osornio,Giovanni Sotgiu,Matthew Strand,Payam Tabarsi,Thelma E. Tupasi,Robert van Altena,Martie van der Walt,Tjip S. van der Werf,Mario H. Vargas,Pirett Viiklepp,Janice Westenhouse,Wing Wai Yew,Jae-Joon Yim +72 more
TL;DR: Findings from a collaborative, individual patient-level meta-analysis of treatment outcomes among patients with multidrug-resistant tuberculosis are reported.
Journal ArticleDOI
Treatment outcomes among patients with multidrug-resistant tuberculosis: systematic review and meta-analysis
Evan W. Orenstein,Sanjay Basu,N. Sarita Shah,Jason R. Andrews,Gerald Friedland,Anthony P. Moll,Neel R. Gandhi,Alison P. Galvani +7 more
TL;DR: In this paper, the authors used a Bayesian random-effects meta-analysis of the available therapeutic studies to assess how the reported proportion of patients treated successfully is influenced by differences in treatment regimen design, study methodology, and patient population.