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      The diagnostic accuracy of the GenoType® Mtbdr sl assay for the detection of resistance to second-line anti-tuberculosis drugs

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          Abstract

          Background

          Accurate and rapid tests for tuberculosis (TB) drug resistance are critical for improving patient care and decreasing the transmission of drug-resistant TB. Genotype®MTBDR sl (MTBDR sl) is the only commercially-available molecular test for detecting resistance in TB to the fluoroquinolones (FQs; ofloxacin, moxifloxacin and levofloxacin) and the second-line injectable drugs (SLIDs; amikacin, kanamycin and capreomycin), which are used to treat patients with multidrug-resistant (MDR-)TB.

          Objectives

          To obtain summary estimates of the diagnostic accuracy ofMTBDR sl for FQ resistance, SLID resistance and extensively drug-resistant TB (XDR-TB; defined asMDR-TB plus resistance to a FQand a SLID) when performed (1) indirectly (ie on culture isolates confirmed as TB positive) and (2) directly (ie on smear-positive sputum specimens).

          To compare summary estimates of the diagnostic accuracy of MTBDR sl for FQ resistance, SLID resistance and XDR-TB by type of testing (indirect versus direct testing).

          The populations of interest were adults with drug-susceptible TB or drug-resistant TB. The settings of interest were intermediate and central laboratories.

          Search methods

          We searched the following databases without any language restriction up to 30 January 2014: Cochrane Infectious Diseases Group Specialized Register; MEDLINE; EMBASE; ISI Web of Knowledge; MEDION; LILACS; BIOSIS; SCOPUS; the metaRegister of Controlled Trials; the search portal of the World Health Organization International Clinical Trials Registry Platform; and ProQuest Dissertations & Theses A&I.

          Selection criteria

          We included all studies that determined MTBDR sl accuracy against a defined reference standard (culture-based drug susceptibility testing (DST), genetic testing or both).We included cross-sectional and diagnostic case-control studies.We excluded unpublished data and conference proceedings.

          Data collection and analysis

          For each study, two review authors independently extracted data using a standardized form and assessed study quality using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. We performed meta-analyses to estimate the pooled sensitivity and specificity of MTBDR sl for FQ resistance, SLID resistance, and XDR-TB. We explored the influence of different reference standards. We performed the majority of analyses using a bivariate random-effects model against culture-based DST as the reference standard.

          Main results

          We included 21 unique studies: 14 studies reported the accuracy of MTBDR sl when done directly, five studies when done indirectly and two studies that did both. Of the 21 studies, 15 studies (71%) were cross-sectional and 11 studies (58%) were located in lowincome or middle-income countries. All studies but two were written in English. Nine (43%) of the 21 included studies had a high risk of bias for patient selection. At least half of the studies had low risk of bias for the other QUADAS-2 domains.

          As a test for FQ resistance measured against culture-based DST, the pooled sensitivity of MTBDR sl when performed indirectly was 83.1% (95% confidence interval (CI) 78.7% to 86.7%) and the pooled specificity was 97.7% (95% CI 94.3% to 99.1%), respectively (16 studies, 1766 participants; 610 confirmed cases of FQ-resistant TB; moderate quality evidence).When performed directly, the pooled sensitivity was 85.1% (95% CI 71.9% to 92.7%) and the pooled specificity was 98.2% (95% CI 96.8% to 99.0%), respectively (seven studies, 1033 participants; 230 confirmed cases of FQ-resistant TB; moderate quality evidence). For indirect testing for FQ resistance, four (0.2%) of 1766MTBDR sl results were indeterminate, whereas for direct testing 20 (1.9%) of 1033 wereMTBDR sl indeterminate (P < 0.001).

          As a test for SLID resistance measured against culture-based DST, the pooled sensitivity of MTBDR sl when performed indirectly was 76.9% (95% CI 61.1% to 87.6%) and the pooled specificity was 99.5% (95% CI 97.1% to 99.9%), respectively (14 studies, 1637 participants; 414 confirmed cases of SLID-resistant TB; moderate quality evidence). For amikacin resistance, the pooled sensitivity and specificity were 87.9% (95% CI 82.1% to 92.0%) and 99.5% (95% CI 97.5% to 99.9%), respectively. For kanamycin resistance, the pooled sensitivity and specificity were 66.9% (95% CI 44.1% to 83.8%) and 98.6% (95% CI 96.1% to 99.5%), respectively. for capreomycin resistance, the pooled sensitivity and specificity were 79.5% (95% CI 58.3% to 91.4%) and 95.8% (95% CI 93.4% to 97.3%), respectively. When performed directly, the pooled sensitivity for SLID resistance was 94.4% (95% CI 25.2% to 99.9%) and the pooled specificity was 98.2% (95% CI 88.9% to 99.7%), respectively (six studies, 947 participants; 207 confirmed cases of SLIDresistant TB, 740 SLID susceptible cases of TB; very low quality evidence). For indirect testing for SLID resistance, three (0.4%) of 774 MTBDR sl results were indeterminate, whereas for direct testing 53 (6.1%) of 873 were MTBDR sl indeterminate (P < 0.001).

          As a test for XDR-TB measured against culture-based DST, the pooled sensitivity of MTBDR sl when performed indirectly was 70.9% (95%CI 42.9%to 88.8%) and the pooled specificitywas 98.8%(95%CI 96.1%to 99.6%), respectively (eight studies, 880 participants; 173 confirmed cases of XDR-TB; low quality evidence).

          Authors’ conclusions

          In adults with TB, a positiveMTBDR sl result for FQ resistance, SLID resistance, or XDR-TB can be treated with confidence. However, MTBDR sl does not detect approximately one in five cases of FQ-resistant TB, and does not detect approximately one in four cases of SLID-resistant TB. Of the three SLIDs, MTBDR sl has the poorest sensitivity for kanamycin resistance. MTBDR sl will miss between one in four and one in three cases of XDR-TB. The diagnostic accuracy of MTBDR sl is similar when done using either culture isolates or smear-positive sputum. As the location of the resistance causing mutations can vary on a strain-by-strain basis, further research is required on test accuracy in different settings and, if genetic sequencing is used as a reference standard, it should examine all resistancedetermining regions. Given the confidence one can have in a positive result, and the ability of the test to provide results within a matter of days, MTBDR sl may be used as an initial test for second-line drug resistance. However, when the test reports a negative result, clinicians may still wish to carry out conventional testing.

          Plain Language Summary
          The rapid test GenoType® MTBDR sl for testing resistance to second-line TB drugs
          Background

          Different drugs are available to treat people with tuberculosis (TB), but resistance to these drugs is a growing problem. People with drug-resistant TB are more likely to die than people with drug-susceptible TB. People with drug-resistant TB require “second-line” TB drugs that, compared with “first-line” TB drugs used to treat drug-susceptible TB, cause more side effects and must be taken for longer. Extensively drug-resistant TB (XDR-TB) is a type of TB that is resistant to almost all TB drugs. A rapid and accurate test could identify people with drug-resistant TB, likely improve patient care, and reduce the spread of drug-resistant TB.

          Test evaluated by this review

          GenoType® MTBDR sl (MTBDR sl) is the only rapid test that detects resistance to second-line fluoroquinolone drugs and the secondline injectable drugs. The test also detects XDR-TB. MTBDR sl can be performed on TB bacteria grown by culture from sputum, which takes a long time (indirect testing), or immediately on sputum (direct testing).

          Main results

          We examined evidence available up to 30 January 2014 and included 21 studies, 11 of which were in low-income or middle-income countries.

          What do these results mean?
          Fluoroquinolone drugs

          By indirect testing, the test detected 83% of people with fluoroquinolone resistance and rarely gave a positive result for people without resistance. In a population of 1000 people,where 170 have fluoroquinolone resistance,MTBDR sl will correctly identify 141 people with fluoroquinolone resistance and miss 29 people. In this same population of 1000 people, where 830 people do not have fluoroquinolone resistance, the test will correctly classify 811 people as not having fluoroquinolone resistance and misclassify 19 people as having resistance ( moderate quality evidence).

          By direct testing, the test detected 85% of people with fluoroquinolone resistance and rarely gave a positive result for people without resistance ( moderate quality evidence).

          Second-line injectable drugs

          By indirect testing, the test detected 77%of people with second-line injectable drug resistance and rarely gave a positive result for people without resistance. In a population of 1000 people, where 230 have second-line injectable drug resistance, MTBDR sl will correctly identify 177 people with second-line injectable drug resistance and miss 53 people. In this same population of 1000 people, where 770 do not have second-line injectable drug resistance, the test will correctly classify 766 people as not having second-line injectable drug resistance and misclassify four people as having resistance ( moderate quality evidence).

          By direct testing, the test detected 94% of people with second-line injectable drug resistance and rarely gave a positive result for people without resistance ( very low quality evidence).

          XDR-TB

          By indirect testing, the test detected 71% of people with XDR-TB and rarely gave a positive result for people without XDR-TB. In a population of 1000 people, where 80 have XDR-TB, MTBDR sl will correctly identify 57 people with XDR-TB and miss 23 people. In this same population of 1000 people, where 920 do not have XDR-TB, the test will correctly classify 909 people as not having XDRTB and misclassify 11 people as having XDR-TB ( low quality evidence).

          There was insufficient evidence to determine the accuracy of MTBDR sl by direct testing for XDR-TB.

          Conclusions

          The results show that a positive MTBDR sl result for resistance to the fluoroquinolone drugs or the second-line injectable drugs is reliable evidence that the person has drug-resistant TB and further conventional drug-resistance testing is not required. However, when the test reports a negative result, clinicians may still wish to carry out conventional testing.

          Related collections

          Most cited references74

          • Record: found
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          Is Open Access

          Meta-DiSc: a software for meta-analysis of test accuracy data

          Background Systematic reviews and meta-analyses of test accuracy studies are increasingly being recognised as central in guiding clinical practice. However, there is currently no dedicated and comprehensive software for meta-analysis of diagnostic data. In this article, we present Meta-DiSc, a Windows-based, user-friendly, freely available (for academic use) software that we have developed, piloted, and validated to perform diagnostic meta-analysis. Results Meta-DiSc a) allows exploration of heterogeneity, with a variety of statistics including chi-square, I-squared and Spearman correlation tests, b) implements meta-regression techniques to explore the relationships between study characteristics and accuracy estimates, c) performs statistical pooling of sensitivities, specificities, likelihood ratios and diagnostic odds ratios using fixed and random effects models, both overall and in subgroups and d) produces high quality figures, including forest plots and summary receiver operating characteristic curves that can be exported for use in manuscripts for publication. All computational algorithms have been validated through comparison with different statistical tools and published meta-analyses. Meta-DiSc has a Graphical User Interface with roll-down menus, dialog boxes, and online help facilities. Conclusion Meta-DiSc is a comprehensive and dedicated test accuracy meta-analysis software. It has already been used and cited in several meta-analyses published in high-ranking journals. The software is publicly available at .
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            National survey of drug-resistant tuberculosis in China.

            The available information on the epidemic of drug-resistant tuberculosis in China is based on local or regional surveys. In 2007, we carried out a national survey of drug-resistant tuberculosis in China. We estimated the proportion of tuberculosis cases in China that were resistant to drugs by means of cluster-randomized sampling of tuberculosis cases in the public health system and testing for resistance to the first-line antituberculosis drugs isoniazid, rifampin, ethambutol, and streptomycin and the second-line drugs ofloxacin and kanamycin. We used the results from this survey and published estimates of the incidence of tuberculosis to estimate the incidence of drug-resistant tuberculosis. Information from patient interviews was used to identify factors linked to drug resistance. Among 3037 patients with new cases of tuberculosis and 892 with previously treated cases, 5.7% (95% confidence interval [CI], 4.5 to 7.0) and 25.6% (95% CI, 21.5 to 29.8), respectively, had multidrug-resistant (MDR) tuberculosis (defined as disease that was resistant to at least isoniazid and rifampin). Among all patients with tuberculosis, approximately 1 of 4 had disease that was resistant to isoniazid, rifampin, or both, and 1 of 10 had MDR tuberculosis. Approximately 8% of the patients with MDR tuberculosis had extensively drug-resistant (XDR) tuberculosis (defined as disease that was resistant to at least isoniazid, rifampin, ofloxacin, and kanamycin). In 2007, there were 110,000 incident cases (95% CI, 97,000 to 130,000) of MDR tuberculosis and 8200 incident cases (95% CI, 7200 to 9700) of XDR tuberculosis. Most cases of MDR and XDR tuberculosis resulted from primary transmission. Patients with multiple previous treatments who had received their last treatment in a tuberculosis hospital had the highest risk of MDR tuberculosis (adjusted odds ratio, 13.3; 95% CI, 3.9 to 46.0). Among 226 previously treated patients with MDR tuberculosis, 43.8% had not completed their last treatment; most had been treated in the hospital system. Among those who had completed treatment, tuberculosis developed again in most of the patients after their treatment in the public health system. China has a serious epidemic of drug-resistant tuberculosis. MDR tuberculosis is linked to inadequate treatment in both the public health system and the hospital system, especially tuberculosis hospitals; however, primary transmission accounts for most cases. (Funded by the Chinese Ministry of Health.).
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              Is Open Access

              Structural equation model testing and the quality of natural killer cell activity measurements

              Background Browne et al. [Browne, MacCallum, Kim, Andersen, Glaser: When fit indices and residuals are incompatible. Psychol Methods 2002] employed a structural equation model of measurements of target cell lysing by natural killer cells as an example purportedly demonstrating that small but statistically significant ill model fit can be dismissed as "negligible from a practical point of view". Methods Reanalysis of the natural killer cell data reveals that the supposedly negligible ill fit obscured important, systematic, and substantial causal misspecifications. Results A clean-fitting structural equation model indicates that measurements employing higher natural-killer-cell to target-cell ratios are more strongly influenced by a progressively intrusive factor, whether or not the natural killer cell activity is activated by recombinant interferon γ (rIFN γ). The progressive influence may reflect independent rate limiting steps in cell recognition and attachment, spatial competition for cell attachment points, or the simultaneous lysings of single target cells by multiple natural killer cells. Conclusions If the progressively influential factor is ultimately identified as a mere procedural impediment, the substantive conclusion will be that measurements of natural killer cell activity made at lower effector to target ratios are more valid. Alternatively, if the individual variations in the progressively influential factor are modifiable, this may presage a new therapeutic route to enhancing natural killer cell activity. The methodological conclusion is that, when using structural equation models, researchers should attend to significant model ill fit even if the degree of covariance ill fit is small, because small covariance residuals do not imply that the underlying model misspecifications are correspondingly small or inconsequential.
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                Author and article information

                Journal
                Cochrane Database Syst Rev
                Cochrane Database Syst Rev
                cd
                The Cochrane Database of Systematic Reviews
                John Wiley & Sons, Ltd (Chichester, UK )
                1469-493X
                29 October 2014
                : 10
                : 4-123
                Affiliations
                [1 ]Department ofMedicine, University of Cape Town, Cape Town South Africa
                [2 ]Department of Clinical Sciences, Liverpool School of Tropical Medicine Liverpool, UK
                [3 ]Task Laboratory, Department of Biochemical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Matieland South Africa
                [4 ]DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University Matieland, South Africa
                [5 ]Cochrane Infectious Diseases Group, Liverpool School of Tropical Medicine Liverpool, UK
                [6 ]Division of Pulmonology, Department of Medicine, University of Cape Town Cape Town, South Africa
                Author notes
                Department of Medicine, University of Cape Town, H47.88, Old Main Building, Groote Schuur Hospital, Cape Town, Western Cape, 7798, South Africa. grant.theron@ 123456uct.ac.za.

                Editorial group: Cochrane Infectious Diseases Group.

                Publication status and date: New, published in Issue 10, 2014.

                Review content assessed as up-to-date: 30 January 2014.

                Article
                10.1002/14651858.CD010705.pub2
                4448219
                25353401
                a3a5ca0d-b413-412f-bafb-c4a21e782fca
                Copyright © 2014 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
                History
                Categories
                Diagnostic Test Accuracy Review

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