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Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults

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Horne, David J, Kohli, Mikashmi, Zifodya, Jerry S, Schiller, Ian, Dendukuri, Nandini, Tollefson, Deanna, Schumacher, Samuel G, Ochodo, Eleanor A, Pai, Madhukar, Steingart, Karen R·2019·Cochrane Database of Systematic Reviews

Abstract

BACKGROUND: Xpert MTB/RIF (Xpert MTB/RIF) and Xpert MTB/RIF Ultra (Xpert Ultra), the newest version, are the only World Health Organization (WHO)-recommended rapid tests that simultaneously detect tuberculosis and rifampicin resistance in persons with signs and symptoms of tuberculosis, at lower health system levels. A previous Cochrane Review found Xpert MTB/RIF sensitive and specific for tuberculosis (Steingart 2014). Since the previous review, new studies have been published. We performed a review update for an upcoming WHO policy review. OBJECTIVES: To determine diagnostic accuracy of Xpert MTB/RIF and Xpert Ultra for tuberculosis in adults with presumptive pulmonary tuberculosis (PTB) and for rifampicin resistance in adults with presumptive rifampicin-resistant tuberculosis. SEARCH METHODS: We searched the Cochrane Infectious Diseases Group Specialized Register, MEDLINE, Embase, Science Citation Index, Web of Science, Latin American Caribbean Health Sciences Literature, Scopus, the WHO International Clinical Trials Registry Platform, the International Standard Randomized Controlled Trial Number Registry, and ProQuest, to 11 October 2018, without language restriction. SELECTION CRITERIA: Randomized trials, cross-sectional, and cohort studies using respiratory specimens that evaluated Xpert MTB/RIF, Xpert Ultra, or both against the reference standard, culture for tuberculosis and culture-based drug susceptibility testing or MTBDRplus for rifampicin resistance. DATA COLLECTION AND ANALYSIS: Four review authors independently extracted data using a standardized form. When possible, we also extracted data by smear and HIV status. We assessed study quality using QUADAS-2 and performed meta-analyses to estimate pooled sensitivity and specificity separately for tuberculosis and rifampicin resistance. We investigated potential sources of heterogeneity. Most analyses used a bivariate random-effects model. For tuberculosis detection, we first estimated accuracy using all included studies and then only the subset of studies where participants were unselected, i.e. not selected based on prior microscopy testing. MAIN RESULTS: We identified in total 95 studies (77 new studies since the previous review): 86 studies (42,091 participants) evaluated Xpert MTB/RIF for tuberculosis and 57 studies (8287 participants) for rifampicin resistance. One study compared Xpert MTB/RIF and Xpert Ultra on the same participant specimen.Tuberculosis detectionOf the total 86 studies, 45 took place in high tuberculosis burden and 50 in high TB/HIV burden countries. Most studies had low risk of bias.Xpert MTB/RIF pooled sensitivity and specificity (95% credible Interval (CrI)) were 85% (82% to 88%) and 98% (97% to 98%), (70 studies, 37,237 unselected participants; high-certainty evidence). We found similar accuracy when we included all studies.For a population of 1000 people where 100 have tuberculosis on culture, 103 would be Xpert MTB/RIF-positive and 18 (17%) would not have tuberculosis (false-positives); 897 would be Xpert MTB/RIF-negative and 15 (2%) would have tuberculosis (false-negatives).Xpert Ultra sensitivity (95% confidence interval (CI)) was 88% (85% to 91%) versus Xpert MTB/RIF 83% (79% to 86%); Xpert Ultra specificity was 96% (94% to 97%) versus Xpert MTB/RIF 98% (97% to 99%), (1 study, 1439 participants; moderate-certainty evidence).Xpert MTB/RIF pooled sensitivity was 98% (97% to 98%) in smear-positive and 67% (62% to 72%) in smear-negative, culture-positive participants, (45 studies). Xpert MTB/RIF pooled sensitivity was 88% (83% to 92%) in HIV-negative and 81% (75% to 86%) in HIV-positive participants; specificities were similar 98% (97% to 99%), (14 studies).Rifampicin resistance detectionXpert MTB/RIF pooled sensitivity and specificity (95% Crl) were 96% (94% to 97%) and 98% (98% to 99%), (48 studies, 8020 participants; high-certainty evidence).For a population of 1000 people where 100 have rifampicin-resistant tuberculosis, 114 would be positive for rifampicin-resistant tuberculosis and 18 (16%) would not have rifampicin resistance (false-positives); 886 would be would be negative for rifampicin-resistant tuberculosis and four (0.4%) would have rifampicin resistance (false-negatives).Xpert Ultra sensitivity (95% CI) was 95% (90% to 98%) versus Xpert MTB/RIF 95% (91% to 98%); Xpert Ultra specificity was 98% (97% to 99%) versus Xpert MTB/RIF 98% (96% to 99%), (1 study, 551 participants; moderate-certainty evidence). AUTHORS' CONCLUSIONS: We found Xpert MTB/RIF to be sensitive and specific for diagnosing PTB and rifampicin resistance, consistent with findings reported previously. Xpert MTB/RIF was more sensitive for tuberculosis in smear-positive than smear-negative participants and HIV-negative than HIV-positive participants. Compared with Xpert MTB/RIF, Xpert Ultra had higher sensitivity and lower specificity for tuberculosis and similar sensitivity and specificity for rifampicin resistance (1 study). Xpert MTB/RIF and

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  1. Adelman, 2015, Intensified tuberculosis case finding among HIV-infected persons using a WHO symptom screen and Xpert® MTB/RIF, International Journal of Tuberculosis and Lung Disease, 19, 1197, 10.5588/ijtld.15.0230 · doi:10.5588/ijtld.15.0230
  2. Atwebembeire, 2016, Xpert® MTB/RIF for detection of Mycobacterium tuberculosis from frozen string and induced sputum sediments, International Journal of Tuberculosis and Lung Disease, 20, 1113, 10.5588/ijtld.15.0691 · doi:10.5588/ijtld.15.0691
  3. Chew, 2016, The clinical utility of Xpert MTB/RIF testing in induced sputum, International Journal of Tuberculosis and Lung Disease, 20, 1668, 10.5588/ijtld.16.0123 · doi:10.5588/ijtld.16.0123
  4. Chikaonda, 2017, Performance of Xpert® MTB/RIF among tuberculosis outpatients in Lilongwe, Malawi, African Journal of Laboratory Medicine, 6, 464, 10.4102/ajlm.v6i2.464 · doi:10.4102/ajlm.v6i2.464
  5. Henostroza, 2016, High prevalence of tuberculosis in newly enrolled HIV patients in Zambia: need for enhanced screening approach, International Journal of Tuberculosis and Lung Disease, 20, 1033, 10.5588/ijtld.15.0651 · doi:10.5588/ijtld.15.0651
  6. Ko, 2016, Accuracy of Xpert® MTB/RIF assay compared with AdvanSure TB/NTM real-time PCR using bronchoscopy specimens, International Journal of Tuberculosis and Lung Disease, 20, 115, 10.5588/ijtld.15.0227 · doi:10.5588/ijtld.15.0227
  7. Lee, 2013, Diagnostic accuracy of Xpert® MTB/RIF on bronchoscopy specimens in patients with suspected pulmonary tuberculosis, International Journal of Tuberculosis and Lung Disease, 17, 917, 10.5588/ijtld.12.0885 · doi:10.5588/ijtld.12.0885
  8. Liu, 2017, Feasibility of a new model for early detection of patients with multidrug-resistant tuberculosis in a developed setting of eastern China, Tropical Medicine & International Health, 22, 1328, 10.1111/tmi.12934 · doi:10.1111/tmi.12934
  9. Makamure, 2017, A suggested algorithm for detection of multi drug-resistant tuberculosis in Zimbabwe, Journal of Infection in Developing Countries, 11, 611, 10.3855/jidc.8009 · doi:10.3855/jidc.8009
  10. Mbelele, 2017, Improved performance of Xpert MTB/RIF assay on sputum sediment samples obtained from presumptive pulmonary tuberculosis cases at Kibong'oto infectious diseases hospital in Tanzania, BMC Infectious Diseases, 17, 808, 10.1186/s12879-017-2931-6 · doi:10.1186/s12879-017-2931-6
  11. Mok, 2016, Do we need transbronchial lung biopsy if we have bronchoalveolar lavage Xpert® MTB/RIF?, International Journal of Tuberculosis and Lung Disease, 20, 619, 10.5588/ijtld.15.0463 · doi:10.5588/ijtld.15.0463
  12. N'Guessan Kouassi, 2016, Genotyping of mutations detected with GeneXpert, International Journal of Mycobacteriology, 5, 142, 10.1016/j.ijmyco.2016.01.001 · doi:10.1016/j.ijmyco.2016.01.001
  13. Reddy, 2017, Detecting Mycobacterium tuberculosis using the loop-mediated isothermal amplification test in South Africa, International Journal of Tuberculosis and Lung Disease, 21, 1154, 10.5588/ijtld.16.0863 · doi:10.5588/ijtld.16.0863
  14. Reechaipichitkul, 2017, Comparison of GeneXpert MTB/RIF assay with conventional AFB smear for diagnosis of pulmonary tuberculosis in northeastern Thailand, Southeast Asian Journal of Tropical Medicine and Public Health, 48, 313
  15. Shenai, 2016, Analytical and clinical evaluation of the Epistem Genedrive assay for detection of Mycobacterium tuberculosis, Journal of Clinical Microbiology, 54, 1051, 10.1128/JCM.02847-15 · doi:10.1128/jcm.02847-15
  16. Acuna-Villaorduna, 2017, Effect of previous treatment and sputum quality on diagnostic accuracy of Xpert® MTB/RIF, International Journal of Tuberculosis and Lung Disease, 21, 389, 10.5588/ijtld.16.0785 · doi:10.5588/ijtld.16.0785
  17. Adelman, 2014, Enhanced active TB case finding among people living with hiv: impact of a rapid molecular test (XPERT MTB/RIF), Journal of Investigative Medicine, 62, 570
  18. Agizew, 2017, Higher-than-expected prevalence of non-tuberculous mycobacteria in HIV setting in Botswana: implications for diagnostic algorithms using Xpert MTB/RIF assay, PLoS One, 12, e0189981, 10.1371/journal.pone.0189981 · doi:10.1371/journal.pone.0189981
  19. Ali, 2016, Discordance between GeneXpert assay and conventional drug-susceptibility testing in detecting rifampicin-resistant tuberculosis: a perspective of the line probe assay, International Journal of Mycobacteriology, 5 Suppl 1, S193, 10.1016/j.ijmyco.2016.09.039 · doi:10.1016/j.ijmyco.2016.09.039
  20. Alland, 2015, Xpert MTB/RIF Ultra: A new near-patient TB test with sensitivity equal to culture, Topics in Antiviral Medicine, 23, 37
  21. Alvarez, 2015, The feasibility, accuracy, and impact of Xpert MTB/RIF testing in a remote aboriginal community in Canada, Chest, 148, 767, 10.1378/chest.14-2948 · doi:10.1378/chest.14-2948
  22. Alvis-Zakzuk, 2017, [Diagnostic accuracy of three technologies for the diagnosis of multi-drug resistant tuberculosis], Biomedica, 37, 397, 10.7705/biomedica.v37i3.3437 · doi:10.7705/biomedica.v37i3.3437
  23. Andriani, 2016, Preliminary study of Xpert MTB/RIF assay for mycobacterium tuberculosis detection in new presumptive tuberculosis patients with negative sputum acid-fast bacilli, Respirology, 21 Suppl 3, 197
  24. Asencio Egea, 2013, Economic impact of the introduction of a technique for early detection of Mycobacterium tuberculosis Complex in clinical samples in a Spanish hospital, Revista Española de Salud Pública, 87, 419, 10.4321/S1135-57272013000400011 · doi:10.4321/s1135-57272013000400011
  25. Aston, 2016, Aetiology and outcome of community-acquired pneumonia in HIV-infected Malawian adults, Topics in Antiviral Medicine, 24, 322
  26. Atehortua, 2015, Xpert MTB/RIF test performance assay in respiratory samples at real work settings in a developing country, Biomedica, 35, 125
  27. Atuhumuza, 2016, Intensified tuberculosis case-finding among people living with HIV: diagnostic yield of Xpert MTB/RIF, urine lipoarabinomannan and liquid culture, Journal of the International AIDS Society, 19, WEAB0202
  28. Atwine, 2015, Intra-gastric string test: an effective tool for diagnosing tuberculosis in adults unable to produce sputum, International Journal of Tuberculosis and Lung Disease, 19, 558, 10.5588/ijtld.14.0810 · doi:10.5588/ijtld.14.0810
  29. Ayala, 2016, Trends in tuberculosis notification and treatment outcomes in prisons: a country-wide assessment in El Salvador from 2009-2014, Revista Panamericana de Salud Pública, 39, 38
  30. Badal-Faesen, 2017, Impact of larger sputum volume on Xpert® MTB/RIF assay detection of Mycobacterium tuberculosis in smear-negative individuals with suspected tuberculosis, Journal of Clinical Medicine, 6, pii: e78, 10.3390/jcm6080078 · doi:10.3390/jcm6080078
  31. Banu, 2014, Discordance across several methods for drug susceptibility testing of drug-resistant Mycobacterium tuberculosis isolates in a single laboratory, Journal of Clinical Microbiology, 52, 156, 10.1128/JCM.02378-13 · doi:10.1128/jcm.02378-13
  32. Barkham, 2016, GeneXpert-a state of the art commercial PCR assay, misses a fifth of tuberculosis cases, Annals of the Academy of Medicine Singapore, 45 (9 Supplemen, S53
  33. Bojang, 2016, Comparison of TB-LAMP, GeneXpert MTB/RIF and culture for diagnosis of pulmonary tuberculosis in The Gambia, Journal of Infection, 72, 332, 10.1016/j.jinf.2015.11.011 · doi:10.1016/j.jinf.2015.11.011
  34. Bonnet, 2017, Nontuberculous mycobacteria infections at a provincial reference hospital, Cambodia, Emerging Infectious Diseases, 23, 1139, 10.3201/eid2307.170060 · doi:10.3201/eid2307.170060
  35. Capocci, 2016, Testing for TB in a contemporary UK HIV clinic-is it really worth it?, HIV Medicine, 17, 38
  36. Chishty, 2016, Performance of Xpert MTB/RIF assay from fluorescent acid fast stained slides, European Respiratory Journal. European Respiratory Society Annual Congress, 48, PA2781
  37. Cross, 2015, A rapid and sensitive diagnostic screening assay for detection of mycobacteria including Mycobacterium tuberculosis directly from sputum without extraction, International Journal of Bacteriology, 2015, 593745, 10.1155/2015/593745 · doi:10.1155/2015/593745
  38. Daum, 2015, Molecular detection of Mycobacterium tuberculosis from sputum transported in PrimeStore® from rural settings, International Journal of Tuberculosis and Lung Disease, 19, 552, 10.5588/ijtld.14.0769 · doi:10.5588/ijtld.14.0769
  39. Dorjee, 2012, Xpert® MTB/RIF diagnosed disseminated smear-negative MDR-TB in a sub-district hospital in India, International Journal of Tuberculosis and Lung Disease, 16, 1560, 10.5588/ijtld.12.0404 · doi:10.5588/ijtld.12.0404
  40. Fernandez Sanchez, 2017, Evaluation of the operating characteristics of GeneXpert MTB/RIF at a national reference center: Hospital Universitario San Ignacio, Bogota, Colombia, American Journal of Respiratory and Critical Care Medicine. American Thoracic Society International Conference, 195, A2084
  41. Fong, 2017, Evaluation of the Xpert MTB/RIF assay for the detection of tuberculosis in patients being evaluated for tuberculosis in a large public hospital in the United States, Laboratory Investigation, 97 Suppl 1, 390A
  42. Gama de Andrade, 2017, The Xpert MTB-RIF to diagnose tuberculosis in adolescents from Rio de Janeiro, Brazil, Pediatric Pulmonology, 52, S164
  43. Griesel, 2016, A clinical prediction rule for the diagnosis of tuberculosis in seriously ill adults, Topics in Antiviral Medicine, 24 (E-1), 309
  44. Gupta, 2014, What is the role for Xpert® MTB/RIF in high-resource settings? Experience from a central London hospital, International Journal of Tuberculosis and Lung Disease, 18, 1323, 10.5588/ijtld.14.0259 · doi:10.5588/ijtld.14.0259
  45. Gurbanova, 2016, Interpretation of indeterminate RIF-susceptibility results obtained by rapid molecular diagnostics test, European Respiratory Journal. European Respiratory Society Annual Congress, 48, PA1907
  46. Gurbanova, 2017, Mitigation of discordant rifampicin-susceptibility results obtained by Xpert Mycobacterium tuberculosis/Rifampicin and Mycobacterium Growth Indicator Tube, Microbial Drug Resistance, 23, 1045, 10.1089/mdr.2016.0149 · doi:10.1089/mdr.2016.0149
  47. Ho, 2016, Reassessment of the positive predictive value and specificity of Xpert MTB/RIF: a diagnostic accuracy study in the context of community-wide screening for tuberculosis, Lancet Infectious Diseases, 16, 1045, 10.1016/S1473-3099(16)30067-6 · doi:10.1016/s1473-3099(16)30067-6
  48. Horo, 2017, Use of the Xpert® MTB/RIF test in routine screening of new cases of pulmonary tuberculosis in an endemic area, Revue des Maladies Respiratoires, 34, 749, 10.1016/j.rmr.2016.10.874 · doi:10.1016/j.rmr.2016.10.874
  49. Ioannidis, 2010, Tuberculosis resistance detection rate to the two main anti-TB drugs, isoniazid and rifampicin, using molecular techniques: Experience of the Hellenic National Reference Center for Mycobacteria, Acta Microbiologica Hellenica, 55, 175
  50. Jafari, 2013, Comparison of molecular and immunological methods for the rapid diagnosis of smear-negative tuberculosis, International Journal of Tuberculosis and Lung Disease, 17, 1459, 10.5588/ijtld.13.0108 · doi:10.5588/ijtld.13.0108
  51. Jing, 2017, Evaluation of Xpert MTB/RIF in detection of pulmonary and extrapulmonary tuberculosis cases in China, International Journal of Clinical and Experimental Pathology, 10, 4847
  52. Jipa, 2016, Drug-resistant tuberculosis in HIV infected patients, BMC Infectious Diseases. 12th Scientific Days of the National Institute for Infectious Diseases "Prof. Dr. Matei Bals" and the 12th National Infectious Diseases Conference. Bucharest, 16, A107
  53. Jones-Lopez, 2014, Prospective cross-sectional evaluation of the small membrane filtration method for diagnosis of pulmonary tuberculosis, Journal of Clinical Microbiology, 52, 2513, 10.1128/JCM.00642-14 · doi:10.1128/jcm.00642-14
  54. Kang, 2016, Clinical features of discordant result between molecular and phenotypic susceptibility tests in tuberculosis patients, Respirology, 21, 200
  55. Kelly-Cirino, 2017, Investigation of OMNIgene.SPUTUM performance in delayed tuberculosis testing by smear, culture, and Xpert MTB/RIF assays in Uganda, Journal of Epidemiology and Global Health, 7, 103, 10.1016/j.jegh.2017.04.001 · doi:10.1016/j.jegh.2017.04.001
  56. Kim, 2015, Evaluation of Xpert® MTB/RIF assay: diagnosis and treatment outcomes in rifampicin-resistant tuberculosis, International Journal of Tuberculosis and Lung Disease, 19, 1216, 10.5588/ijtld.15.0183 · doi:10.5588/ijtld.15.0183
  57. Lange, 2017, Diagnostic accuracy of the Xpert® MTB/RIF cycle threshold level to predict smear positivity: a meta-analysis, International Journal of Tuberculosis and Lung Disease, 21, 493, 10.5588/ijtld.16.0702 · doi:10.5588/ijtld.16.0702
  58. Laskar, 2017, Comparative yielding of BACTEC MGIT 960 and GeneXpert MTB/RIF assay for rapid diagnosis of drug resistance tuberculosis from sputum specimen, Mymensingh Medical Journal, 26, 885
  59. Lebina, 2016, The use of Xpert MTB/RIFfor active case finding among TB contacts in North West Province, South Africa, Tuberculosis Research and Treatment, 2016, 4282313, 10.1155/2016/4282313 · doi:10.1155/2016/4282313
  60. Mafort, 2017, Bronchoalveolar lavage GeneXpert MTB/RIF performance in smear-negative pulmonary tuberculosis-a tertiary care experience in Rio De Janeiro, Brazil, American Journal of Respiratory and Critical Care Medicine. American Thoracic Society International Conference, 195, A2085
  61. Matabane, 2015, Performance evaluation of three commercial molecular assays for the detection of Mycobacterium tuberculosis from clinical specimens in a high TB-HIV-burden setting, BMC Infectious Diseases, 15, 508, 10.1186/s12879-015-1229-9 · doi:10.1186/s12879-015-1229-9
  62. Mokaddas, 2016, Comparison of two molecular methods and an automated liquid culture system for the early detection of Mycobacterium tuberculosis from both pulmonary and extrapulmonary specimens in Kuwait, International Journal of Mycobacteriology, 5 Suppl 1, S74, 10.1016/j.ijmyco.2016.09.004 · doi:10.1016/j.ijmyco.2016.09.004
  63. More, 2017, Profile of drug-resistant tuberculosis in Western Maharashtra, Journal of Family Medicine and Primary Care, 6, 29, 10.4103/2249-4863.214954 · doi:10.4103/2249-4863.214954
  64. Morozova, 2016, The results of drug susceptibility testing of Mycobacterium tuberculosis to rifampicin by Xpert MTB/RIF BACTEC MGIT 960 as compared with the method of seeding on solid nutrient media, European Respiratory Journal. European Respiratory Society Annual Congress, 48, PA2783
  65. Mukherjee, 2017, Evaluation of cartridge based nucleic acid amplification test in diagnosis of pulmonary tuberculosis, Journal of Evolution of Medical and Dental Sciences-JEMDS, 6, 5281, 10.14260/Jemds/2017/1147 · doi:10.14260/jemds/2017/1147
  66. Mulder, 2017, Accuracy of giant African pouched rats for diagnosing tuberculosis: comparison with culture and Xpert® MTB/RIF, International Journal of Tuberculosis and Lung Disease, 21, 1127, 10.5588/ijtld.17.0139 · doi:10.5588/ijtld.17.0139
  67. Narasimooloo, 2012, Delay in commencing treatment for MDR TB at a specialised TB treatment centre in KwaZulu-Natal, South African Medical Journal, 102, 360, 10.7196/SAMJ.5361 · doi:10.7196/samj.5361
  68. Ng, 2018, Xpert Ultra can unambiguously identify specific rifampin resistance-conferring mutations, Journal of Clinical Microbiology, 56, e00686, 10.1128/JCM.00686-18 · doi:10.1128/jcm.00686-18
  69. Nguyen, 2017, Evaluation of Loopamp™ MTBC detection kit for diagnosis of pulmonary tuberculosis at a peripheral laboratory in a high burden setting, Diagnostic Microbiology and Infectious Disease, 90, 190, 10.1016/j.diagmicrobio.2017.11.009 · doi:10.1016/j.diagmicrobio.2017.11.009
  70. Ninan, 2016, The diagnostic utility of line probe assays for multidrug-resistant tuberculosis, Pathogens and Global Health, 110, 194, 10.1080/20477724.2016.1214350 · doi:10.1080/20477724.2016.1214350
  71. Nosova, 2013, Comparing performance of "TB-BIOCHIP", "Xpert MTB/RIF" and "genotype MTBDRplus" assays for fast identification of mutations in the Mycobacterium tuberculosis complex in sputum from TB patients, Molekuliarnaia Biologiia (Mosk), 47, 267
  72. Parcell, 2017, Three year evaluation of Xpert MTB/RIF in a low prevalence tuberculosis setting: A Scottish perspective, Journal of Infection, 74, 466, 10.1016/j.jinf.2017.02.005 · doi:10.1016/j.jinf.2017.02.005
  73. Patil, 2014, Initial experience with GeneXpert MTB/RIF assay in the Arkansas Tuberculosis Control Program, Australasian Medical Journal, 7, 203, 10.4066/AMJ.2014.1905 · doi:10.4066/amj.2014.1905
  74. Ramirez, 2014, Impact of the Xpert® MTB/RIF molecular test on the late diagnosis of pulmonary tuberculosis, International Journal of Tuberculosis and Lung Disease, 18, 435, 10.5588/ijtld.13.0747 · doi:10.5588/ijtld.13.0747
  75. Reechaipichitkul, 2016, Diagnostic test of sputum GeneXpert MTB/RIF for smear negative pulmonary tuberculosis, Southeast Asian Journal of Tropical Medicine and Public Health, 47, 457
  76. Sauzullo, 2016, Diagnostic accuracy of Xpert MTB/RIF versus smear microscopy in the early diagnosis tuberculosis in the real life of "Umberto I" Hospital Rome, New Microbiologica, 39, 304
  77. Shilpa, 2017, Detection of rifampicin resistance in HIV seropositive individuals with suspected pulmonary tuberculosis by using CBNAAT, Journal of Pure and Applied Microbiology, 11, 387, 10.22207/JPAM.11.1.50 · doi:10.22207/jpam.11.1.50
  78. Strydom, 2015, Comparison of three commercial molecular assays for detection of rifampin and isoniazid resistance among Mycobacterium tuberculosis isolates in a high-HIV-prevalence setting, Journal of Clinical Microbiology, 53, 3032, 10.1128/JCM.01691-15 · doi:10.1128/jcm.01691-15
  79. Sureshbabu, 2016, Molecular diagnosis of drug resistance tuberculosis In the districts of Tamilnadu, International Journal of Pharma and Bio Sciences, 7, B42
  80. Tadesse, 2016, Xpert MTB/RIF for rapid detection of rifampicin-resistant Mycobacterium tuberculosis from pulmonary tuberculosis patients in southwest Ethiopia, International Journal of Mycobacteriology, 5 Suppl 1, S48, 10.1016/j.ijmyco.2016.09.002 · doi:10.1016/j.ijmyco.2016.09.002
  81. Theron, 2012, Correlation of mycobacterium tuberculosis specific and non-specific quantitative Th1 T-cell responses with bacillary load in a high burden setting, PLoS One, 7, e37436, 10.1371/journal.pone.0037436 · doi:10.1371/journal.pone.0037436
  82. Thibbadee, 2016, Evaluation of decentralised use of the Xpert MTB/RRIF test for diagnosis of tuberculosis and multidrug resistance in Rayong hospital, Thailand, Respirology, 21 (Supplement, 198
  83. To, 2017, Clinical application of GeneXpert on BAL samples in management of TB in intermediate burden area, Chest, 152 (4 Suppleme, A194, 10.1016/j.chest.2017.08.225 · doi:10.1016/j.chest.2017.08.225
  84. Rie, 2011, A single Xpert MTB/RIF test of sputum for diagnosis of tuberculosis and multidrug resistance shows high sensitivity and specificity and reduces diagnosis and treatment delays, Evidence Based Medicine, 16, 174, 10.1136/ebm.2011.100207 · doi:10.1136/ebm.2011.100207
  85. Walters, 2012, Rapid diagnosis of pediatric intrathoracic tuberculosis from stool samples using the Xpert MTB/RIF Assay: a pilot study, Pediatric Infectious Disease Journal, 31, 1316, 10.1097/INF.0b013e318266c21c · doi:10.1097/inf.0b013e318266c21c
  86. Wang, 2015, Xpert MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in children: a meta-analysis, Clinical Laboratory, 61, 1775
  87. Wang, 2016, The Abbott RealTime MTB assay and the Cepheid GeneXpert assay show comparable performance for the detection of Mycobacterium tuberculosis in sputum specimens, International Journal of Infectious Diseases, 45, 78, 10.1016/j.ijid.2016.02.024 · doi:10.1016/j.ijid.2016.02.024
  88. Zemlyansky, 2016, Experience and efficiency of laboratory diagnosis of tuberculosis with PCR detector system GeneXpert in Belgorod region, International Journal of Pharmacy and Technology, 8, 27072
  89. Beynon, 2018, Correlation of Xpert MTB/RIF with measures to assess Mycobacterium tuberculosis bacillary burden in high HIV burden areas of Southern Africa, Scientific Reports, 8, 5201, 10.1038/s41598-018-23066-2 · doi:10.1038/s41598-018-23066-2
  90. Bossuyt PM Leeflang MM Chapter 6: Developing criteria for including studies. In: Cochrane Handbook for Systematic Reviews of Diagnstic Test Accuracy, Version 0.4 [updated September 2008]. The Cochrane Collaboration, 2008 Available at methods.cochrane.org/sites/methods.cochrane.org.sdt/files/public/uploads/Chapter06-Including-Studies%20%28September-2008%29.pdf
  91. Boyles, 2017, Why do clinical trials of Xpert® MTB/RIF fail to show an effect on patient relevant outcomes?, International Journal of Tuberculosis and Lung Disease, 21, 249, 10.5588/ijtld.16.0801 · doi:10.5588/ijtld.16.0801
  92. Broger T Sosse B Du Toit E Kerkhoff AD Schutz C Reipold EI Novel high sensitivity tuberculosis point-of-care test for people living with HIV Preprints with The Lancet. ssrn.com/abstract=3254479 2018 · doi:10.2139/ssrn.3254479
  93. Veritas Health Innovation Covidence systematic review software. Available at www.covidence.org 2017
  94. Macaskill P Gatsonis C Deeks JJ Harbord RM Takwoingi Y Chapter 10: Analysing and presenting results. In: Deeks JJ, Bossuyt PM, Gatsonis C, editor(s). Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 1.0. The Cochrane Collaboration, 2010 Available from: srdta.cochrane.org/
  95. The Nordic Cochrane Centre, The Cochrane Collaboration Review Manager (RevMan) [Computer program] 2014
  96. Steingart, 2015, In reply to ‘False-positive Xpert® MTB/RIF assays in previously treated patients', International Journal of Tuberculosis and Lung Disease, 19, 366, 10.5588/ijtld.14.0800 · doi:10.5588/ijtld.14.0800
  97. Toman, 2004, How many bacilli are present in a sputum specimen found positive by smear microscopy?, 11
  98. Toman, 2004, What is the probability of obtaining a negative culture from a sputum specimen found positive by smear microscopy?, 44
  99. Boyle, 2017, Tuberculosis Diagnostics Technology and Market Landscape
  100. WHO, 2018, Compendium of WHO Guidelines and Associated Standards: Ensuring Optimum Delivery of the Cascade of Care for Patients with Tuberculosis
  101. World Health Organization, 2018, Global Tuberculosis Report 2018
  102. World Health Organization, 2008, Policy Guidance on Drug-Susceptibility Testing (DST) of Second-Line Antituberculosis Drugs. WHO/HTM/TB/2008.392
  103. World Health Organization, 2015, Implementing tuberculosis diagnostics: A policy framework. WHO/HTM/TB/2015.11
  104. World Health Organization, 2011, Policy Statement: Automated Real-Time Nucleic Acid Amplification Technology for Rapid and Simultaneous Detection of Tuberculosis and Rifampicin Resistance: Xpert MTB/RIF system. WHO/HTM/TB/2011.4
  105. World Health Organization, 2011, Rapid Implementation of the Xpert MTB/RIF Diagnostic Test. Technical and Operational ‘How-to’. Practical Considerations. WHO/HTM/TB/2011.2
  106. World Health Organization, 2013, Automated Real-Time Nucleic Acid Amplification Technology for Rapid and Simultaneous Detection of Tuberculosis and Rifampicin Resistance: Xpert MTB/RIF System for the Diagnosis of Pulmonary and Extrapulmonary TB in Adults and Children: Policy Update. WHO/
  107. World, 2017, World Bank List of Economies

Cited by

See all 267

Metadata

Authors
Horne, D. J., Kohli, M., Zifodya, J. S., Schiller, I., Dendukuri, N., Tollefson, D., Schumacher, S. G., Ochodo, E. A., Pai, M., & Steingart, K. R.
Venue
Cochrane Database of Systematic Reviews
Publisher
Wiley
Published
2019-06-07
Volume
6
Pages
CD009593-CD009593
ISSN
  • 1361-6137 (ISSN-L)
  • 1465-1858
OpenAlex
W2948492785
Cited by
267
References
281
FWCI
27.97
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults. https://app.cochat.ai/papers/10.1002/14651858.cd009593.pub4
The paper
Horne, D. J., Kohli, M., Zifodya, J. S., Schiller, I., Dendukuri, N., Tollefson, D., Schumacher, S. G., Ochodo, E. A., Pai, M., & Steingart, K. R. (2019). Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults. Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.cd009593.pub4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.