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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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Extensively drug-resistant tuberculosis as a cause of death in patients co-infected with tuberculosis and HIV in a rural area of South Africa

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.
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Multidrug-resistant and extensively drug-resistant tuberculosis: a threat to global control of tuberculosis

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

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.
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Multidrug Resistant Pulmonary Tuberculosis Treatment Regimens and Patient Outcomes: An Individual Patient Data Meta-analysis of 9,153 Patients

Shama D. Ahuja, +72 more
- 28 Aug 2012 - 
TL;DR: Findings from a collaborative, individual patient-level meta-analysis of treatment outcomes among patients with multidrug-resistant tuberculosis are reported.
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Treatment outcomes among patients with multidrug-resistant tuberculosis: systematic review and meta-analysis

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.