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      Treatment outcomes for multidrug-resistant tuberculosis under DOTS-Plus: a systematic review and meta-analysis of published studies

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          Abstract

          Background

          Anti-tuberculosis drug resistance is a major public health problem that threatens the progress made in tuberculosis care and control worldwide. Treatment success rates of multidrug-resistant tuberculosis (MDR-TB) is a key issue that cannot be ignored. There is a paucity of evidence that assessed studies on the treatment of MDR-TB, which focus on the effectiveness of the directly observed treatment, short-course (DOTS)-Plus program. Therefore, it is crucial to assess and summarize the overall treatment outcomes for MDR-TB patients enrolled in the DOTS-Plus program in recent years. The purpose of this study was to thus assess and summarize the available evidence for MDR-TB treatment outcomes under DOTS-Plus.

          Methods

          A systematic review and meta-analysis of published literature was conducted. Original studies were identified using the databases MEDLINE®/PubMed®, Hinari, and Google Scholar. Heterogeneity across studies was assessed using the Cochran’s Q test and I 2 statistic. Pooled estimates of treatment outcomes were computed using the random effect model.

          Results

          Based on the 14 observational studies included in the meta-analysis, it was determined that 5 047 patients reported treatment outcomes. Of these, the pooled prevalence, 63.5% (95% CI: 58.4–68.5%) successfully completed full treatment (cured or treatment completed) with a pooled cure rate of 55.6%, whereas 12.6% (95% CI: 9.0–16.2%) of the patients died, 14.2% (95% CI: 11.6–16.8%) defaulted from therapy, and 7.6% (95% CI: 5.6–9.7%) failed therapy. Overall 35.4% (95% CI: 30–40.8%) of patients had unsuccessful treatment outcomes. An unsatisfactorily high percentage 43% (95% CI: 32–54%) of unsuccessful treatment outcomes was observed among patients who were enrolled in standardized treatment regimens.

          Conclusion

          This study revealed that patients with MDR-TB exhibited a very low treatment success rate compared to the World Health Organization 2015 target of at least 75 to 90%. The high default rate observed by conducting this literature review could possibly explain the spread of the MDR-TB strain in various populations. A better treatment success rate was observed among patients in individualized treatment regimens than in standardized ones. Conducting further individual-based meta-analysis is recommended to identify potential factors for defaulting treatment using large-scale and multi-center studies.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40249-016-0214-x) contains supplementary material, which is available to authorized users.

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          Most cited references25

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          Measuring inconsistency in meta-analyses.

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            Introduction to Meta-Analysis

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              Assessing heterogeneity in meta-analysis: Q statistic or I2 index?

              In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the I(2) index has been proposed to quantify the degree of heterogeneity in a meta-analysis. In this article, the performances of the Q test and the confidence interval around the I(2) index are compared by means of a Monte Carlo simulation. The results show the utility of the I(2) index as a complement to the Q test, although it has the same problems of power with a small number of studies.
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                Author and article information

                Contributors
                ktwu27@gmail.com , ktwu21@gmail.com
                mogesyoni@gmail.com
                pmemiah@uwf.edu
                sibhatu2010@gmail.com
                Journal
                Infect Dis Poverty
                Infect Dis Poverty
                Infectious Diseases of Poverty
                BioMed Central (London )
                2049-9957
                17 January 2017
                17 January 2017
                2017
                : 6
                : 7
                Affiliations
                [1 ]Department of Public Health, College of Medical and Health Sciences, Wollega University, P. O. Box 395, Nekemte, Ethiopia
                [2 ]Department of Public Health, College of Medical and Health Sciences, Haramaya University, P. O. Box 135, Harar, Ethiopia
                [3 ]College of Health, Department of Public Health, University of West Florida, Florida, USA
                [4 ]Public Health Research Consultant, P. O. Box 24414, Addis Ababa, Ethiopia
                Article
                214
                10.1186/s40249-016-0214-x
                5240443
                28093078
                5005bc56-d8e1-43d2-8aed-57e22a354dfe
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 March 2016
                : 9 December 2016
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                tuberculosis,multidrug resistance,dots-plus,multidrug-resistant tuberculosis,treatment outcomes

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