The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Diagnostic accuracy of Xpert MTB/RIF Ultra for tuberculous meningitis in HIV-infected adults: a prospective cohort study
Open accessAbstract
BACKGROUND: WHO recommends Xpert MTB/RIF as initial diagnostic testing for tuberculous meningitis. However, diagnosis remains difficult, with Xpert sensitivity of about 50-70% and culture sensitivity of about 60%. We evaluated the diagnostic performance of the new Xpert MTB/RIF Ultra (Xpert Ultra) for tuberculous meningitis. METHODS: We prospectively obtained diagnostic cerebrospinal fluid (CSF) specimens during screening for a trial on the treatment of HIV-associated cryptococcal meningitis in Mbarara, Uganda. HIV-infected adults with suspected meningitis (eg, headache, nuchal rigidity, altered mental status) were screened consecutively at Mbarara Regional Referral Hospital. We centrifuged CSF, resuspended the pellet in 2 mL of CSF, and tested 0·5 mL with mycobacteria growth indicator tube culture, 1 mL with Xpert, and cryopreserved 0·5 mL, later tested with Xpert Ultra. We assessed diagnostic performance against uniform clinical case definition or a composite reference standard of any positive CSF tuberculous test. FINDINGS: From Feb 27, 2015, to Nov 7, 2016, we prospectively evaluated 129 HIV-infected adults with suspected meningitis for tuberculosis. 23 participants were classified as probable or definite tuberculous meningitis by uniform case definition, excluding Xpert Ultra results. Xpert Ultra sensitivity was 70% (95% CI 47-87; 16 of 23 cases) for probable or definite tuberculous meningitis compared with 43% (23-66; 10/23) for Xpert and 43% (23-66; 10/23) for culture. With composite standard, we detected tuberculous meningitis in 22 (17%) of 129 participants. Xpert Ultra had 95% sensitivity (95% CI 77-99; 21 of 22 cases) for tuberculous meningitis, which was higher than either Xpert (45% [24-68]; 10/22; p=0·0010) or culture (45% [24-68]; 10/22; p=0·0034). Of 21 participants positive by Xpert Ultra, 13 were positive by culture, Xpert, or both, and eight were only positive by Xpert Ultra. Of those eight, three were categorised as probable tuberculous meningitis, three as possible tuberculous meningitis, and two as not tuberculous meningitis. Testing 6 mL or more of CSF was associated with more frequent detection of tuberculosis than with less than 6 mL (26% vs 7%; p=0·014). INTERPRETATION: Xpert Ultra detected significantly more tuberculous meningitis than did either Xpert or culture. WHO now recommends the use of Xpert Ultra as the initial diagnostic test for suspected tuberculous meningitis. FUNDING: National Institute of Neurologic Diseases and Stroke, Fogarty International Center, National Institute of Allergy and Infectious Disease, UK Medical Research Council/DfID/Wellcome Trust Global Health Trials, Doris Duke Charitable Foundation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures


Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“Specificity (95% CI) was 90% (83 to 95) (Bahr 2017) and 92% (86 to 95) (Cresswell 2020) for Xpert Ultra and 97% (95% CI 92 to 99) (Bahr 2017) and 97% (93 to 99) (Cresswell 2020) for Xpert MTB/RIF; Figure 11.”
From Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults (2021) · cites this paper as Bahr 2017
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe cited source doesn’t support the claim as written.
In the citing paper
“Specificity (95% CI) was 90% (83 to 95) (Bahr 2017) and 92% (86 to 95) (Cresswell 2020) for Xpert Ultra and 97% (95% CI 92 to 99) (Bahr 2017) and 97% (93 to 99) (Cresswell 2020) for Xpert MTB/RIF; Figure 11.”
From Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults (2021) · cites this paper as Bahr 2017
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe cited source doesn’t support the claim as written.
In the citing paper
“Sensitivity (95% CI) was 90% (55 to 100) (Bahr 2017) and 89% (71 to 98) (Cresswell 2020) for Xpert Ultra and 60% (26 to 88) (Bahr 2017) and 70% (50 to 86) (Cresswell 2020) for Xpert MTB/RIF.”
From Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults (2021) · cites this paper as Bahr 2017
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Sensitivity (95% CI) was 90% (55 to 100) (Bahr 2017) and 89% (71 to 98) (Cresswell 2020) for Xpert Ultra and 60% (26 to 88) (Bahr 2017) and 70% (50 to 86) (Cresswell 2020) for Xpert MTB/RIF.”
From Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults (2021) · cites this paper as Bahr 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global tuberculosis report (2014)
Gabbasova, L. A., & Who, E. R. E. (2014) · Cited by 12,702
Tuberculous meningitis: a uniform case definition for use in clinical research
Marais, S., Thwaites, G., Schoeman, J. F., Török, M. E., Misra, U. K., Prasad, K., Donald, P. R., Wilkinson, R. J., & Marais, B. J. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70138-9 · Cited by 932
Helb, D., Jones, M., Story, E., Boehme, C., Wallace, E., Ho, K., Kop, J., Owens, M. R., Rodgers, R., Banada, P., et al. (2010) · Journal of Clinical Microbiology · doi:10.1128/jcm.01463-09 · Cited by 914
Chakravorty, S., Simmons, A. M., Rowneki, M., Parmar, H., Cao, Y., Ryan, J., Banada, P. P., Deshpande, S., Shenai, S., Gall, A., et al. (2017) · mBio · doi:10.1128/mbio.00812-17 · Cited by 668
Self-citationDenkinger, C. M., Schumacher, S. G., Boehme, C. C., Dendukuri, N., Pai, M., & Steingart, K. R. (2014) · European Respiratory Journal · doi:10.1183/09031936.00007814 · Cited by 527
Self-citationAdult meningitis in a setting of high HIV and TB prevalence: findings from 4961 suspected cases
Jarvis, J. N., Meintjes, G., Williams, A., Brown, Y., Crede, T., & Harrison, T. S. (2010) · BMC Infectious Diseases · doi:10.1186/1471-2334-10-67 · Cited by 266
Evaluation of GeneXpert MTB/RIF for Diagnosis of Tuberculous Meningitis
Nhu, N. T. Q., Heemskerk, D., Thu, D. D. A., Chau, T. T. H., Mai, N. T. H., Nghia, H. D. T., Loc, P. P., Ha, D. T. M., Merson, L., Thinh, T. T. V., et al. (2014) · Journal of Clinical Microbiology · doi:10.1128/jcm.01834-13 · Cited by 244
Patel, V. B., Theron, G., Lenders, L., Matinyena, B., Connolly, C., Singh, R., Coovadia, Y., Ndung'u, T., & Dheda, K. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001536 · Cited by 179
Presentation and Outcome of Tuberculous Meningitis in a High HIV Prevalence Setting
Marais, S., Pepper, D. J., Schutz, C., Wilkinson, R. J., & Meintjes, G. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020077 · Cited by 125
GeneXpert MTB/Rif to Diagnose Tuberculous Meningitis: Perhaps the First Test but not the Last
Bahr, N. C., Marais, S., Caws, M., van Crevel, R., Wilkinson, R. J., Tyagi, J. S., Thwaites, G. E., & Boulware, D. R. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw083 · Cited by 120
Self-citation
Cited by
Sorted by citations
Dorman, S. E., Schumacher, S. G., Alland, D., Nabeta, P., Armstrong, D. T., King, B., Hall, S. L., Chakravorty, S., Cirillo, D. M., Tukvadze, N., et al. (2017) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30691-6 · Cited by 705
Self-citationTuberculosis: advances and challenges in development of new diagnostics and biomarkers
Walzl, G., McNerney, R., du Plessis, N., Bates, M., McHugh, T. D., Chegou, N. N., & Zumla, A. I. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(18)30111-7 · Cited by 343
Xpert MTB/RIF and Xpert MTB/RIF Ultra for pulmonary tuberculosis and rifampicin resistance in adults
Horne, D. J. D. L., Kohli, M., Zifodya, J. S., Schiller, I., Dendukuri, N., Tollefson, D., Schumacher, S. G., Ochodo, E., Pai, M., & Steingart, K. R. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009593.pub4 · Cited by 296
Drug‐resistant tuberculosis: An update on disease burden, diagnosis and treatment
Lange, C. G., Chesov, D., Heyckendorf, J., Leung, C. C., Udwadia, Z. F., & Dheda, K. U. J. (2018) · Respirology · doi:10.1111/resp.13304 · Cited by 245
Xpert ® MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance
Kohli, M., Schiller, I., Dendukuri, N., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub2 · Cited by 245
Self-citationAdvances in Molecular Diagnosis of Tuberculosis
MacLean, E. L.-H., Kohli, M., Weber, S. F., Suresh, A., Schumacher, S. G., Denkinger, C. M., & Pai, M. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.01582-19 · Cited by 224
Self-citationKohli, M., Schiller, I., Dendukuri, N., Yao, M., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub3 · Cited by 215
Self-citationAcute encephalitis in immunocompetent adults
Venkatesan, A., Michael, B. D., Probasco, J. C., Geocadin, R. G., & Solomon, T. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32526-1 · Cited by 195
Zifodya, J. S., Kreniske, J. S., Schiller, I., Kohli, M., Dendukuri, N., Schumacher, S. G., Ochodo, E., Haraka, F., Zwerling, A. A., Pai, M., et al. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009593.pub5 · Cited by 200
Donovan, J., Thu, D. D. A., Phu, N. H., Dung, V. T. M., Quang, T. P., Nghia, H. D. T., Oanh, P. K. N., Nhu, T. B., Chau, N. V. V., Ha, V. T. N., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30649-8 · Cited by 154
Zhang, Y., Cui, P., Zhang, H., Wu, H., Ye, M.-Z., Zhu, Y., Ai, J., & Zhang, W. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02360-6 · Cited by 148
Tuberculous meningitis: progress and remaining questions
Huynh, J., Donovan, J., Phu, N. H., Nghia, H. D. T., Thương, N. T. T., & Thwaites, G. E. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00435-x · Cited by 153
Seddon, J. A., Tugume, L., Solomons, R., Prasad, K., & Bahr, N. C. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15535.1 · Cited by 137
Self-citationOpota, O., Mazza‐Stalder, J., Greub, G., & Jaton, K. (2019) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.03.021 · Cited by 133
The neurocritical care of tuberculous meningitis
Donovan, J., Figaji, A. A., Imran, D., Phu, N. H., Rohlwink, U. K., & Thwaites, G. E. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30154-1 · Cited by 131
Methods for Rapid Diagnosis of Meningitis Etiology in Adults
Poplin, V., Boulware, D. R., & Bahr, N. C. (2020) · Biomarkers in Medicine · doi:10.2217/bmm-2019-0333 · Cited by 119
Self-citationCresswell, F. V., Tugume, L., Bahr, N. C., Kwizera, R., Bangdiwala, A. S., Musubire, A. K., Rutakingirwa, M., Kagimu, E., Nuwagira, E., Mpoza, E., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30550-x · Cited by 124
Self-citationManyelo, C. M., Solomons, R., Walzl, G., & Chegou, N. N. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.01771-20 · Cited by 144
Heemskerk, D., Donovan, J., Thu, D. D. A., Marais, S., Chaidir, L., Dung, V. T. M., Centner, C. M., Ha, V. T. N., Annisa, J., Dian, S., et al. (2018) · Journal of Infection · doi:10.1016/j.jinf.2018.09.003 · Cited by 111
Perez-Risco, D., Rodriguez-Temporal, D., Valledor-Sanchez, I., & Alcaide, F. (2018) · Journal of Clinical Microbiology · doi:10.1128/jcm.00659-18 · Cited by 103
Yan, L., Sun, W., Lu, Z., & Fan, L. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.04.048 · Cited by 92
Point-of-care diagnostic tests for tuberculosis disease
Hóng, J., Lee, H., Menon, N. V., Lim, C. T., Lee, L. P., & Ong, C. W. M. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abj4124 · Cited by 88
Ramachandran, P., Ramesh, A., Cresswell, F. V., Wapniarski, A. E., Narendra, R., Quinn, C. M., Tran, E. B., Rutakingirwa, M. K., Bangdiwala, A. S., Kagimu, E., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29353-x · Cited by 89
Self-citationTuberculous meningitis: Challenges in diagnosis and management
Mechai, F., & Bouchaud, O. (2019) · Revue Neurologique · doi:10.1016/j.neurol.2019.07.007 · Cited by 85
Zhang, M., Xue, M., & He, J.-Q. (2019) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2019.09.016 · Cited by 86
Assessment of the Xpert MTB/RIF Ultra assay on rapid diagnosis of extrapulmonary tuberculosis
Wu, X., Tan, G., Gao, R., Yao, L., Bi, D., Guo, Y., Yu, F., & Fan, L. (2019) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2019.01.050 · Cited by 78
Tuberculous meningitis: where to from here?
Donovan, J., Thwaites, G. E., & Huynh, J. (2020) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0000000000000648 · Cited by 78
Wang, G., Wang, S., Jiang, G., Yang, X., Huang, M., Huo, F., Ma, Y., Dai, G., Li, W., Chen, X., et al. (2019) · Journal of Infection · doi:10.1016/j.jinf.2019.02.010 · Cited by 76
Sekyere, J. O., Maphalala, N., Malinga, L. A., Mbelle, N. M., & Maningi, N. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-53086-5 · Cited by 76
Broger, T., Marx, F. M., Theron, G., Marais, B. J., Nicol, M. P., Kerkhoff, A. D., Nathavitharana, R. R., Huerga, H., Gupta‐Wright, A., Kohli, M., et al. (2024) · The Lancet Global Health · doi:10.1016/s2214-109x(24)00148-7 · Cited by 71
Self-citationLetang, E., Ellis, J. P., Naidoo, K., Casas, E. C., Sánchez, P., Hassan-Moosa, R., Cresswell, F. V., Miró, J. M., & García‐Basteiro, A. L. (2020) · Archivos de Bronconeumología · doi:10.1016/j.arbr.2019.11.013 · Cited by 75
Self-citationPormohammad, A., Nasiri, M. J., McHugh, T. D., Riahi, S. M., & Bahr, N. C. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.01113-18 · Cited by 76
Self-citationTenforde, M. W., Gertz, A. M., Lawrence, D. S., Wills, N. K., Guthrie, B. L., Farquhar, C., & Jarvis, J. N. (2020) · Journal of the International AIDS Society · doi:10.1002/jia2.25416 · Cited by 75
Accuracy of Xpert MTB/RIF Ultra for the Diagnosis of Pleural TB in a Multicenter Cohort Study
Wang, G., Wang, S., Yang, X., Sun, Q., Jiang, G., Huang, M., Huo, F., Ma, Y., Chen, X., & Huang, H. (2019) · CHEST Journal · doi:10.1016/j.chest.2019.07.027 · Cited by 72
Advances in the molecular diagnosis of tuberculosis: From probes to genomes
Machado, D., Couto, I., & Viveiros, M. (2018) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2018.11.021 · Cited by 73
Opota, O., Zakham, F., Mazza‐Stalder, J., Nicod, L. P., Greub, G., & Jaton, K. (2018) · Journal of Clinical Microbiology · doi:10.1128/jcm.01717-18 · Cited by 69
Challenges in the diagnosis of tuberculous meningitis
Palacios, C. F., & Saleeb, P. G. (2020) · Journal of Clinical Tuberculosis and Other Mycobacterial Diseases · doi:10.1016/j.jctube.2020.100164 · Cited by 66
Xpert Ultra Assay on Stool to Diagnose Pulmonary Tuberculosis in Children
Kabir, S., Rahman, S. M. M., Ahmed, S., Islam, M. S., Banu, R. S., Shewade, H. D., Thekkur, P., Anwar, S., Banu, N. A., Nasrin, R., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa583 · Cited by 65
Performance of Xpert MTB/RIF Ultra: a matter of dead or alive
Arend, S. M., & van Soolingen, D. (2017) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30695-3 · Cited by 64
Berhanu, R. H., David, A., da Silva, P., Shearer, K., Sanne, I., Stevens, W. S., & Scott, L. E. (2018) · Journal of Clinical Microbiology · doi:10.1128/jcm.00560-18 · Cited by 63
Kendall, E. A., Schumacher, S. G., Denkinger, C. M., & Dowdy, D. W. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002472 · Cited by 62
Self-citationTuberculous meningitis: a roadmap for advancing basic and translational research
on behalf of the NIH Tuberculous Meningitis Writing Group, Jain, S. K., Tobin, D. M., Tucker, E. W., Venketaraman, V., Ordoñez, A. A., Jayashankar, L., Siddiqi, O. K., Hammoud, D. A., Prasadarao, N. V., et al. (2018) · Nature Immunology · doi:10.1038/s41590-018-0119-x · Cited by 61
The Changing Epidemiology of HIV-Associated Adult Meningitis, Uganda 2015–2017
Ellis, J. P., Bangdiwala, A. S., Cresswell, F. V., Rhein, J., Nuwagira, E., Ssebambulidde, K., Tugume, L., Rajasingham, R., Bridge, S., Muzoora, C. K., et al. (2019) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofz419 · Cited by 58
Self-citationThe Global Neurological Burden of Tuberculosis
Das, M., Dooley, K. E., Gupta, A., & Thakur, K. T. (2018) · Seminars in Neurology · doi:10.1055/s-0038-1651500 · Cited by 63
Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis
Nandlal, L., Perumal, R., & Naidoo, K. (2022) · Infection and Drug Resistance · doi:10.2147/idr.s381643 · Cited by 55
Miyahara, R., Piyaworawong, S., Naranbhai, V., Prachamat, P., Kriengwatanapong, P., Tsuchiya, N., Wongyai, J., Bupachat, S., Yamada, N., Summanapan, S., et al. (2019) · BMC Infectious Diseases · doi:10.1186/s12879-019-4292-9 · Cited by 58
Xpert MTB/RIF Ultra for Tuberculosis Testing in Children: A Mini-Review and Commentary
Atherton, R. R., Cresswell, F. V., Ellis, J. P., Kitaka, S. B., & Boulware, D. R. (2019) · Frontiers in Pediatrics · doi:10.3389/fped.2019.00034 · Cited by 54
Self-citationJi, X., Zhou, L., Li, C., Shi, Y., Wu, M., Zhang, Y., Fei, X., & Zhao, G. (2020) · Journal of Molecular Neuroscience · doi:10.1007/s12031-019-01472-z · Cited by 52
Hoel, I. M., Syre, H., Skarstein, I., & Mustafa, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-70613-x · Cited by 52
Evaluation of the GeneXpert MTB/RIF in patients with presumptive tuberculous meningitis
Metcalf, T., Soria, J., Montano, S. M., Ticona, E., Evans, C. A., Huaroto, L., Kasper, M. R., Ramos, E., Mori, N., Jittamala, P., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198695 · Cited by 54
Bahr, N. C., Meintjes, G., & Boulware, D. R. (2019) · Journal of Medical Microbiology · doi:10.1099/jmm.0.000975 · Cited by 50
Self-citationDiagnostic value of Xpert MTB/RIF Ultra for osteoarticular tuberculosis
Sun, Q., Wang, S., Dong, W., Jiang, G., Huo, F., Ma, Y., Huang, H., & Wang, G. (2019) · Journal of Infection · doi:10.1016/j.jinf.2019.06.006 · Cited by 50
Xpert MTB/RIF Ultra for the Diagnosis of Tuberculous Meningitis: A Small Step Forward
Donovan, J., Cresswell, F. V., Thương, N. T. T., Boulware, D. R., Thwaites, G. E., Bahr, N. C., Aarnoutse, R. E., Anderson, S. T. B., Bahr, N. C., Bang, N. D., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa473 · Cited by 51
Self-citationSiddiqi, O. K., Birbeck, G. L., Ghebremichael, M. S., Mubanga, E., Love, S., Buback, C., Kosloff, B. R., Ayles, H., Atadzhanov, M., Dheda, K. U. J., et al. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.00652-19 · Cited by 45
Piersimoni, C., Gherardi, G., Gracciotti, N., & Pocognoli, A. (2019) · Journal of Clinical Tuberculosis and Other Mycobacterial Diseases · doi:10.1016/j.jctube.2019.100094 · Cited by 44
A clinical practice guideline for tuberculous meningitis
Donovan, J., Cresswell, F. V., Tucker, E. W., Davis, A., Rohlwink, U. K., Huynh, J., Solomons, R., Seddon, J. A., Bahr, N. C., van Laarhoven, A., et al. (2025) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(25)00364-0 · Cited by 55
Self-citationMekkaoui, L., Hallin, M., Mouchet, F., Payen, M., Maillart, E., Clevenbergh, P. A., Georgala, A., & den Wijngaert, S. V. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249734 · Cited by 43
Abdominal Tuberculosis in Children: Challenges, Uncertainty, and Confusion
Sartoris, G., Seddon, J. A., Rabie, H., Nel, E., & Schaaf, H. S. (2019) · Journal of the Pediatric Infectious Diseases Society · doi:10.1093/jpids/piz093 · Cited by 42
Diagnostic accuracy of the Xpert MTB/Rif Ultra for tuberculosis adenitis
Antel, K., Oosthuizen, J., Malherbe, F., Louw, V. J., Nicol, M. P., Maartens, G., & Verburgh, E. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-019-4749-x · Cited by 41
Xpert MTB/RIF Ultra for Detection of Mycobacterium tuberculosis in Cerebrospinal Fluid
Chin, J. H., Musubire, A. K., Morgan, N., Pellinen, J., Grossman, S. N., Bhatt, J. M., Wadda, V., & Ssengooba, W. (2019) · Journal of Clinical Microbiology · doi:10.1128/jcm.00249-19 · Cited by 40
Self-citationKolia-Diafouka, P., Carrère‐Kremer, S., Lounnas, M., BOURDIN, A. A., Kremer, L., de Perre, P. V., Godreuil, S., & Tuaillon, É. (2019) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2019.02.008 · Cited by 38
Molecular diagnostics in cerebrospinal fluid for the diagnosis of central nervous system infections
Olie, S. E., Andersen, C. Ø., van de Beek, D., & Brouwer, M. C. (2024) · Clinical Microbiology Reviews · doi:10.1128/cmr.00021-24 · Cited by 38
“Previous studies have demonstrated that the amount of CSF analyzed is of influence on the yield, as well as centrifuging the CSF before processing (192–195).”
Aksamit, A. J. (2021) · New England Journal of Medicine · doi:10.1056/nejmra2032996 · Cited by 39
Potential of Host Serum Protein Biomarkers in the Diagnosis of Tuberculous Meningitis in Children
Manyelo, C. M., Solomons, R., Snyders, C., Mutavhatsindi, H., Manngo, P. M., Stanley, K., Walzl, G., & Chegou, N. N. (2019) · Frontiers in Pediatrics · doi:10.3389/fped.2019.00376 · Cited by 37
Cresswell, F. V., Ellis, J. P., Kagimu, E., Bangdiwala, A. S., Okirwoth, M., Mugumya, G., Rutakingirwa, M. K., Kasibante, J., Quinn, C. M., Ssebambulidde, K., et al. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa100 · Cited by 37
Self-citationGong, X., He, Y., Zhou, K., Hua, Y., & Li, Y. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1149741 · Cited by 37
Diagnostic Testing of Neurologic Infections
Ramachandran, P., & Wilson, M. R. (2018) · Neurologic Clinics · doi:10.1016/j.ncl.2018.07.004 · Cited by 39
Li, Z., Pan, L., Lyu, L., Li, J., Jia, H., Du, B., Sun, Q., & Zhang, Z. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.07.015 · Cited by 32
Das, R., Dhiman, A., Mishra, S. K., Haldar, S., Sharma, N., Bansal, A., Ahmad, Y., Kumar, A., Tyagi, J. S., & Sharma, T. K. (2019) · International Journal of Nanomedicine · doi:10.2147/ijn.s189127 · Cited by 37
Recent Developments in Tuberculous Meningitis Pathogenesis and Diagnostics
Cresswell, F. V., Davis, A., Sharma, K., Roy, R. B., Ganiem, A. R., Kagimu, E., Solomons, R., Wilkinson, R. J., Bahr, N. C., & Thương, N. T. T. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15506.3 · Cited by 43
Self-citationSsengooba, W., Iragena, J. D. D., Nakiyingi, L., Mujumbi, S., Wobudeya, E., Mboizi, R. B., Boulware, D. R., Meya, D. B., Choo, L., Crook, A. M., et al. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.00410-20 · Cited by 35
Self-citationLiu, X., Xia, L., Song, B., Wang, H., Qian, X.-Q., Wei, J., Li, T., Xi, X., Song, Y., Li, S., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.10.036 · Cited by 33
Yu, G., Zhao, W., Shen, Y., Zhu, P., & Zheng, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243161 · Cited by 34
Central nervous system tuberculosis
Katrak, S. M. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117278 · Cited by 37
Chen, J., Zhang, R., Liu, L., Qi, T., Wang, Z., Song, W., Tang, Y., Sun, J., Liu, D., Lin, Y., et al. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.04.057 · Cited by 33
Management of complex tuberculosis cases: a focus on drug-resistant tuberculous meningitis
Garg, R. K., Rizvi, I., Malhotra, H. S., Uniyal, R., & Kumar, N. (2018) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2018.1540930 · Cited by 32
Roy, R. B., Thee, S. A., Blázquez‐Gamero, D., Falcón-Neyra, L., Neth, O., Noguera‐Julián, A., Lillo, C., Galli, L., Venturini, E., Buonsenso, D., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.02004-2019 · Cited by 32
Rapid Molecular Diagnosis of Extra-Pulmonary Tuberculosis by Xpert/RIF Ultra
Rindi, L. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.817661 · Cited by 32
Hoel, I. M., Sviland, L., Syre, H., Dyrhol-Riise, A. M., Skarstein, I., Jebsen, P., Jørstad, M. D., Wiker, H., & Mustafa, T. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-020-4852-z · Cited by 29
Atherton, R. R., Cresswell, F. V., Ellis, J. P., Skipper, C. P., Tadeo, K. K., Mugumya, G., Wadda, V., Meya, D. B., & Boulware, D. R. (2018) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2018.07.007 · Cited by 31
Self-citationTuberculosis of the Central Nervous System
Zunt, J. R. (2018) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000000648 · Cited by 31
Diagnostic Testing in Central Nervous System Infection
Kanjilal, S., Cho, T. A., & Piantadosi, A. L. (2019) · Seminars in Neurology · doi:10.1055/s-0039-1688441 · Cited by 33
A Test for More Accurate Diagnosis of Pulmonary Tuberculosis
Sun, L., Qi, X., Liu, F., Wu, X., Yin, Q.-Q., Guo, Y., Xu, B., Jiao, A., Guo, Y., Jiao, W., et al. (2019) · PEDIATRICS · doi:10.1542/peds.2019-0262 · Cited by 31
Sun, L., Zhu, Y., Fang, M., Shi, Y., Peng, X., Liao, Q., Wang, X., Quan, S., Wang, Y., Duan, L., et al. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.00702-20 · Cited by 30
Diagnostic accuracy of Xpert MTB/RIF for tuberculous meningitis: systematic review and meta‐analysis
Hernández, A. V., de Laurentis, L. S., de Souza, I. M., Pessanha, M., Thota, P., Roman, Y. M., Barboza, J. J., Boulware, D. R., & Vidal, J. E. (2020) · Tropical Medicine & International Health · doi:10.1111/tmi.13525 · Cited by 33
Self-citationChen, Y., Wang, Y., Liu, X., Li, W., Fu, H., Liu, X., Zhang, X., Zhou, X., Yang, B., Yao, J., et al. (2022) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.24307 · Cited by 30
Improving Technology to Diagnose Tuberculous Meningitis: Are We There Yet?
Ssebambulidde, K., Gakuru, J., Ellis, J. P., Cresswell, F. V., & Bahr, N. C. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.892224 · Cited by 30
Self-citationTenforde, M. W., Mokomane, M., Leeme, T. B., Tlhako, N., Tsholo, K., Chebani, T., Stephenson, A., Hutton, J., Mitchell, H. K., Patel, R. K. K., et al. (2019) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30066-0 · Cited by 30
Seo, Y. S., Kang, J., Kim, D. S., & Ahn, J. G. (2020) · BMC Infectious Diseases · doi:10.1186/s12879-019-4745-1 · Cited by 33
Manyelo, C. M., Solomons, R., Snyders, C., Manngo, P. M., Mutavhatsindi, H., Kriel, B., Stanley, K., Walzl, G., & Chegou, N. N. (2019) · Mediators of Inflammation · doi:10.1155/2019/7582948 · Cited by 28
Microbiological diagnosis of tuberculous meningitis
Garg, R. K. (2019) · The Indian Journal of Medical Research · doi:10.4103/ijmr.ijmr_1145_19 · Cited by 29
Sharma, K., Sharma, M., Shree, R., Modi, M., Goyal, M., Narang, D., Sharma, A., Lal, V., Sharma, N., & Ray, P. (2020) · Tuberculosis · doi:10.1016/j.tube.2020.101990 · Cited by 28
Yu, L., Zhang, Y., Zhou, J., Zhang, Y., Qi, X., Bai, K., Lou, Z., Li, Y., Xia, H., & Bu, H. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.951703 · Cited by 29
Musubire, A. K., Meya, D. B., Rhein, J., Meintjes, G., Bohjanen, P. R., Nuwagira, E., Muzoora, C., Boulware, D. R., Hullsiek, K. H., & teams, T. C. A. A. T. (2018) · PLOS ONE · doi:10.1371/journal.pone.0209337 · Cited by 27
Self-citationCost-effectiveness analysis of Xpert in detecting Mycobacterium tuberculosis: A systematic review
Hao, X., Lou, H., Bai, J., Ding, Y., Yang, J., & Pan, W. H. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.078 · Cited by 27
Quinn, C. M., Kagimu, E., Okirworth, M., Bangdiwala, A. S., Mugumya, G., Ramachandran, P., Wilson, M. R., Meya, D. B., Cresswell, F. V., Bahr, N. C., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1910 · Cited by 27
Self-citationDiagnosis of extrapulmonary tuberculosis by GeneXpert MTB/RIF Ultra assay
Dahiya, B., Mehta, N., Soni, A., & Mehta, P. K. (2023) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2023.2223980 · Cited by 26
Sharma, K., Sharma, M., Chaudhary, L., Modi, M., Goyal, M., Sharma, N., Sharma, A., Jain, A., Dhibar, D. P., Jain, K., et al. (2018) · Tuberculosis · doi:10.1016/j.tube.2018.09.002 · Cited by 24
Jiang, J., Yang, J., Shi, Y., Jin, Y., Tang, S., Zhang, N., Lu, Y., & Sun, G. (2020) · Scandinavian Journal of Infectious Diseases · doi:10.1080/23744235.2020.1788222 · Cited by 25
Advances in molecular diagnostic testing for central nervous system infections
Houlihan, C. F., Bharucha, T., & Breuer, J. (2019) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0000000000000548 · Cited by 24
Metadata
- Authors
- Bahr, N. C., Nuwagira, E., Evans, E. E., Cresswell, F. V., Bystrom, P. V., Byamukama, A., Bridge, S. C., Bangdiwala, A. S., Meya, D. B., Denkinger, C. M., Muzoora, C., Boulware, D. R., Williams, D. A., Taseera, K., Nyehangane, D., Ivan, M., Orikiriza, P., Rhein, J., Hullsiek, K. H., Musubire, A., Pastick, K., Nabeta, P., Mwesigye, J., & Rajasingham, R.
- Affiliations
- University of Minnesota (US)
- Mbarara University of Science and Technology (UG)
- London School of Hygiene & Tropical Medicine (GB)
- FIND (CH)
- Corresponding author
- Boulware, David R
- ORCID
- Bahr, Nathan C
- Nuwagira, Edwin
- Evans, Emily E
- Cresswell, Fiona V
- Bystrom, Philip V
- Bangdiwala, Ananta S
- Meya, David B
- Denkinger, Claudia M
- Muzoora, Conrad
- Boulware, David R
- Taseera, Kabanda
- Nyehangane, Dan
- Orikiriza, Patrick
- Rhein, Joshua
- Hullsiek, Kathy Huppler
- Musubire, Abdu
- Pastick, Katelyn
- Nabeta, Pamela
- Mwesigye, James
- Rajasingham, Radha
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 18
- Issue
- 1
- Pages
- 68-75
- ISSN
- 1473-3099 (ISSN-L)
- PMC
- PMC5739874
- OpenAlex
- W2753952100
- Cited by
- 308
- References
- 19
- Citations by year
- 2026: 17 · 2025: 21 · 2024: 21 · 2023: 22 · 2022: 30 · 2021: 22 · 2020: 75 · 2019: 59 · 2018: 34
- FWCI
- 49.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Infectious Diseases (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Funders
- Fogarty International Center
- National Institutes of Health (R25TW009345, R01NS086312)
- National Institute of Neurological Disorders and Stroke
- Doris Duke Charitable Foundation
- National Institute of Allergy and Infectious Diseases (T32AI055433)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Infectious Diseases and Tuberculosis
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Life Sciences › Immunology and Microbiology › Microbiology › Bacterial Infections and Vaccines
- Keywords
- tuberculous meningitis, Xpert MTB/RIF Ultra, Xpert MTB/RIF, HIV infection, diagnostic accuracy, cerebrospinal fluid, molecular tuberculosis diagnosis, sensitivity, Uganda, Mbarara, case definition, composite reference standard, HIV-associated tuberculosis
- MeSH terms
- Adult, Cerebrospinal Fluid, Female, Humans, Male, Mycobacterium, Prospective Studies, Sensitivity and Specificity, Tuberculosis, Meningeal, Uganda, HIV Infections, Tuberculosis, Multidrug-Resistant, Molecular Diagnostic Techniques
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 ›
Are you an author, or do you see a problem with this page? Request a review