| Literature DB >> 22140369 |
Christian Lienhardt1, Marcos Espinal, Madhukar Pai, Dermot Maher, Mario C Raviglione.
Abstract
Entities:
Mesh:
Year: 2011 PMID: 22140369 PMCID: PMC3226454 DOI: 10.1371/journal.pmed.1001135
Source DB: PubMed Journal: PLoS Med ISSN: 1549-1277 Impact factor: 11.069
Figure 1Investment in TB R&D by research category: 2005–2009 (from TAG report 2010).
Reproduced with permission.
Global Plan to Stop TB 2011–2015: total needs (US$ billion).
| Plan Component | Total FundingRequired(% Total) |
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| - DOTS | 22.6 (48%) |
| - Drug-resistant TB | 7.1 (15%) |
| - TB/HIV | 2.8 (6%) |
| - Laboratory strengthening | 4.0 (8%) |
| - Technical assistance | 0.4 (1%) |
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| - Fundamental research | 2.1 (5%) |
| - New diagnostics | 1.7 (4%) |
| - New drugs | 3.7 (8%) |
| - New vaccines | 1.9 (4%) |
| - Operational research | 0.4 (1%) |
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Adapted from reference [3].
Figure 2Funding required and available by research component 2011–2015.
Funding required and funding available under two possible scenarios and likely funding gaps (US$ billions).
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| A. Funding required | 37 | 37 |
| B. Domestic (endemic country) funding available | 21 | 23 |
| - Brazil, China, India, South Africa and Europe | 15 | 17 |
| - Rest of world | 5 | 6 |
| C. External (donor) funding available if 2010 levels maintained | 3 | 3 |
| D. Funding gap (A–B–C) | 13 | 11 |
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| E. Funding required | 10 | 10 |
| F. Funding available if 2009 levels maintained | 3 | 3 |
| G. Funding gap (E–F) | 6 | 6 |
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| 19 | 17 |
Adjusted only for inflation.
GDP per capita in international dollars (purchasing power parity), forecast for the period 2011–2015 by the International Monetary Fund.
Based on the TAG report (November 2010), assuming that 2009 levels are maintained throughout 2011–2015, adjusted only for inflation.
Adapted from reference [3].
Number of studies identifying priority topics for TB research in a systematic review of 33 articles with TB research priorities.
| Research Topic |
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| Chemoprophylaxis effectiveness studies | 9 |
| Optimal length of drug treatment—new and old regimes | 9 |
| Development of new anti-TB drugs | 7 |
| Pharmacokinetics of standard drugs | 7 |
| Drug interaction studies (with concomitant antiretroviral use) | 7 |
| Pharmakokinetics of second-line drugs | 7 |
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| New diagnostic tests for active TB | 14 |
| New drug sensitivity testing methods | 11 |
| Evaluation of diagnostic pathway for the diagnosis of active TB | 8 |
| Biomarkers of successful treatment (for clinical or future trial use) | 8 |
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| Accurate measurement of the global burden of TB disease | 8 |
| Determination of the role of social factors within communities on the risk of infection/transmission | 5 |
| Effect of treatment literacy programs on adherence and burden of disease | 5 |
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| Investigation of the causes of diagnostic delay | 4 |
| Modeling TB- associated costs/health service requirements | 4 |
| Role of patient groups in case finding | 4 |
| Best model for integrating TB and HIV services | 4 |
| Training requirements for staff providing TB care | 4 |
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| Identification of host correlates of protection against TB disease | 4 |
| Understanding latent infection and latency | 4 |
| Understanding genetic and phenotypic markers of TB resistance | 4 |
| Development of an animal model that predicts treatment duration | 4 |
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| Development and trials of new TB vaccine | 8 |
Source: Rylance et al. [9].