Xpert MTB/RIF Ultra for the diagnosis of HIV-associated tuberculous meningitis: a prospective validation study
Open accessAbstract
INTRODUCTION: Tuberculous meningitis accounts for 1-5% of tuberculosis cases. Diagnostic delay contributes to poor outcomes. We evaluated the performance of the new Xpert MTB/RIF Ultra (Xpert Ultra) for tuberculous meningitis diagnosis. METHODS: In this prospective validation study, we tested the cerebrospinal fluid (CSF) of adults presenting with suspected meningitis (ie, headache or altered mental status with clinical signs of meningism) to the Mulago National Referral Hospital and Mbarara Regional Referral Hospital in Uganda. We centrifuged the CSF, resuspended the cell pellet in 2 mL CSF, and tested 0·5 mL aliquots with Xpert Ultra, Xpert MTB/RIF (Xpert), and mycobacterial growth indicator tube (MGIT) culture. We quantified diagnostic performance against the uniform case definition of probable or definite tuberculous meningitis and a composite microbiological reference standard. FINDINGS: From Nov 25, 2016, to Jan 24, 2019, we screened 466 adults with suspected meningitis and tested 204 for tuberculous meningitis. Uniform clinical case definition classified 51 participants as having probable or definite tuberculous meningitis. Against this uniform case definition, Xpert Ultra had 76·5% sensitivity (95% CI 62·5-87·2; 39 of 51 patients) and a negative predictive value of 92·7% (87·6-96·2; 153 of 165), compared with 55·6% sensitivity (44·0-70·4; 25 of 45; p=0·0010) and a negative predictive value of 85·8% (78·9-91·1; 121 of 141) for Xpert and 61·4% sensitivity (45·5-75·6; 27 of 44; p=0·020) and negative predictive value of 85·2% (77·4-91·1; 98 of 115) for MGIT culture. Against the composite microbiological reference standard, Xpert Ultra had sensitivity of 92·9% (80·5-98·5; 39 of 42), higher than Xpert at 65·8% (48·6-80·4; 25 of 38; p=0·0063) and MGIT culture at 72·2% (55·9-86·2; 27 of 37; p=0·092). Xpert Ultra detected nine tuberculous meningitis cases missed by Xpert and MGIT culture. INTERPRETATION: Xpert Ultra detected tuberculous meningitis with higher sensitivity than Xpert and MGIT culture in this HIV-positive population. However, with a negative predictive value of 93%, Xpert Ultra cannot be used as a rule-out test. Clinical judgment and novel highly sensitive point-of-care tests are still required. FUNDING: Wellcome Trust, National Institute of Health, National Institute of Neurologic Diseases and Stroke, Fogarty International Center, and National Institute of Allergy and Infectious Diseases.
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In people living with HIV, Xpert MTB/RIF sensitivity in Cresswell 2020 was 70% (95% CI 50 to 86).
“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 Cresswell 2020
The Results section (Diagnostic performance; page unavailable) reports Xpert MTB/RIF sensitivity of 56% against the uniform case definition and 66% against the composite microbiological reference standard, not 70%. The cited 95% CI of 50–86 is not given in the passages from our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn people living with HIV, Xpert Ultra sensitivity in Cresswell 2020 was 89% (95% CI 71 to 98).
“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 Cresswell 2020
The Results section (Diagnostic performance; page unavailable) reports Xpert Ultra sensitivity of 76% against the uniform clinical case definition and 93% against the composite microbiological reference standard in this HIV-positive cohort. It does not report the attributed 89% (95% CI 71–98) for either reference standard. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredIn people living with HIV, Xpert MTB/RIF specificity in Cresswell 2020 was 97% (95% CI 93 to 99).
“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 Cresswell 2020
The Results, under Diagnostic performance (page unavailable), report Xpert MTB/RIF sensitivity but give no Xpert specificity estimate or confidence interval. A search for specificity found 100% specificity for Ultra in the Negative controls section, not the claimed 97% (95% CI 93–99) for Xpert. Our copy therefore does not verify the attributed figure. (LLM, conf=0.73)
Experimental — accuracy not yet measuredIn people living with HIV, Xpert Ultra specificity in Cresswell 2020 was 92% (95% CI 86 to 95).
“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 Cresswell 2020
The Results’ Diagnostic performance section reports sensitivity and negative predictive value, but not the claimed 92% specificity or its 95% CI. A separate Negative controls section reports 100% specificity among 45 participants with cryptococcal meningitis; that subgroup result does not establish or contradict the claimed estimate. Searches for “specificity” and “86-95” found no matching estimate in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
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Cites
STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
Cohen, J. F., Korevaar, D. A., Altman, D. G., Bruns, D. E., Gatsonis, C. A., Hooft, L., Irwig, L., Levine, D., Reitsma, J. B., de Vet, H. C. W., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012799 · Cited by 2,570 · see citing works
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 · see citing works
Anatomy and physiology of cerebrospinal fluid
Sakka, L. J., Coll, G., & Chazal, J. (2011) · European Annals of Otorhinolaryngology Head and Neck Diseases · doi:10.1016/j.anorl.2011.03.002 · Cited by 816 · see citing works
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 · see citing works
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 · see citing works
Intensified Antituberculosis Therapy in Adults with Tuberculous Meningitis
Heemskerk, D., Bang, N. D., Hoang, N. T., Chau, T. T. H., Phu, N. H., Loc, P. P., Châu, N. V. V., Hien, T. T., Dung, N. H., Lan, N. T. N., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1507062 · Cited by 308 · see citing works
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., et al. (2018) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(17)30474-7 · Cited by 308 · see citing works
Self-citationCazabon, D., Alsdurf, H., Satyanarayana, S., Nathavitharana, R. R., Subbaraman, R., Daftary, A., & Pai, M. (2016) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2016.10.016 · Cited by 173 · see citing works
Theron, G., Venter, R., Calligaro, G., Smith, L., Limberis, J. D., Meldau, R., Chanda, D. M., Esmail, A., Peter, J., & Dheda, K. U. J. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/civ1223 · Cited by 152 · see citing works
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 117 · see citing works
Accuracy of Xpert Mtb/Rif Ultra for the Diagnosis of Pulmonary Tuberculosis in Children
Nicol, M. P., Workman, L., Prins, M. L. M., Bateman, L., Ghebrekristos, Y. T., Mbhele, S., Denkinger, C. M., & Zar, H. J. (2018) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000001960 · Cited by 114 · see citing works
Improved diagnostic sensitivity for tuberculous meningitis with Xpert® MTB/RIF of centrifuged CSF
Bahr, N. C., Tugume, L., Rajasingham, R., Kiggundu, R., Williams, D. A., Morawski, B. M., Alland, D., Meya, D. B., Rhein, J., & Boulware, D. R. (2015) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.15.0253 · Cited by 113 · see citing works
Thương, N. T. T., Heemskerk, D., Tram, T. T. B., Thảo, L. T. P., Ramakrishnan, L., Ha, V. T. N., Bang, N. D., Chau, T. T. H., Lân, N. H., Caws, M., et al. (2017) · The Journal of Infectious Diseases · doi:10.1093/infdis/jix050 · Cited by 111 · see citing works
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 110 · see citing works
Prognostic Models for 9-Month Mortality in Tuberculous Meningitis
Thảo, L. T. P., Heemskerk, D., Geskus, R. B., Hoang, N. T., Hà, Đ. T. M., Chau, T. T. H., Phu, N. H., Châu, N. V. V., Caws, M., Lân, N. H., et al. (2017) · Clinical Infectious Diseases · doi:10.1093/cid/cix849 · Cited by 105 · see citing works
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 · see citing works
Standardized Methods for Enhanced Quality and Comparability of Tuberculous Meningitis Studies
Marais, B. J., Heemskerk, D., Marais, S., van Crevel, R., Rohlwink, U. K., Caws, M., Meintjes, G., Misra, U. K., Hoang, N. T., Ruslami, R., et al. (2016) · Clinical Infectious Diseases · doi:10.1093/cid/ciw757 · Cited by 80 · see citing works
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 · see citing works
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 · see citing works
Predictors for Outcome and Treatment Delay in Patients With Tuberculous Meningitis
Sheu, J., Yuan, R.-Y., & Yang, C. (2009) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e3181a590f1 · Cited by 68 · see citing works
Bahr, N. C., Meintjes, G., & Boulware, D. R. (2019) · Journal of Medical Microbiology · doi:10.1099/jmm.0.000975 · Cited by 50 · see citing works
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 · see citing works
Cryptococcal Meningitis and Tuberculous Meningitis Co-infection in HIV-Infected Ugandan Adults
Ellis, J. P., Cresswell, F. V., Rhein, J., Ssebambulidde, K., & Boulware, D. R. (2018) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofy193 · Cited by 37 · see citing works
Therapy for Tuberculous Meningitis
Boeree, M. J., Gillespie, S. H., & Höelscher, M. (2016) · New England Journal of Medicine · doi:10.1056/nejmc1602291 · Cited by 26 · see citing works
Cresswell, F. V., Bangdiwala, A. S., Bahr, N. C., Trautner, E., Nuwagira, E., Ellis, J. P., Rajasingham, R., Rhein, J., Williams, D. A., Muzoora, C. K., et al. (2018) · Wellcome Open Research · doi:10.12688/wellcomeopenres.14610.2 · Cited by 24 · see citing works
Cresswell, F. V., Bangdiwala, A. S., Meya, D. B., Bahr, N. C., Vidal, J. E., Török, M. E., Thảo, L. T. P., Thwaites, G. E., & Boulware, D. R. (2018) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2018.01.014 · Cited by 16 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [24]Ellis J, Cresswell FV, Rhein J, Ssebambulidde K, Boulware DR. Cryptococcal Meningitis and Tuberculous Meningitis Co-infection in HIV-Infected Ugandan Adults. Open Forum Infect Dis 2018; 5(8): ofy193. 30182032 PMC6114196
- [30]Heemskerk AD, Donovan J, Thu DDA, Improving the microbiological diagnosis of tuberculous meningitis: A prospective, international, multicentre comparison of conventional and modified Ziehl-Neelsen stain, GeneXpert, and culture of cerebrospinal fluid. The Journal of Infection 2018; 19(6): 1– 7 PMC6293313 30217659
- [33]Cresswell FV, Bangdiwala AS, Bahr NC, Tuberculous meningitis diagnosis and outcomes during the Xpert MTB/Rif era: a 6.5-year cohort study in Uganda. Wellcome Open Research 2018; 3(64). PMC6039934 30027125
Cited by
Sorted by citations
Advances 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 · see citing works
“Notably, even with sensitivity of 77%, as observed in another study of TB meningitis (26), the Ultra test’s negative predictive value is still too low for use as a rule-out test.”
BackgroundKohli, 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 · see citing works
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 140 · see citing works
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 · see citing works
“In this study, Xpert Ultra had a 93% negative predictive value for the diagnosis of TBM [102].”
Use of Xpert MTB/RIF and Xpert Ultra in extrapulmonary tuberculosis
Park, M., & Kon, O. M. (2020) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2020.1810565 · Cited by 67 · see citing works
Bacterial meningitis in Africa
Barichello, T., Catalão, C. H. R., Rohlwink, U. K., van der Kuip, M., Zaharie, D., Solomons, R., van Toorn, R., van Furth, A. M., Hasbun, R., Iovino, F., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.822575 · Cited by 60 · see citing works
“Recently studies have examined the role of host inflammatory markers in both blood and CSF as possible diagnostic tools (162, 163).”
BackgroundHoel, I. M., Syre, H., Skarstein, I., & Mustafa, T. (2020) · Scientific Reports · doi:10.1038/s41598-020-70613-x · Cited by 52 · see citing works
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 49 · see citing works
“As with Xpert [11], specificity of Xpert Ultra for TBM diagnosis was high in both studies [12, 13].”
BackgroundTuberculous Meningitis in Children: Reducing the Burden of Death and Disability
Huynh, J., Abo, Y., Preez, K. D., Solomons, R., Dooley, K. E., & Seddon, J. A. (2021) · Pathogens · doi:10.3390/pathogens11010038 · Cited by 48 · see citing works
Seid, G., Alemu, A., Dagne, B., & Gamtesa, D. F. (2023) · PLoS ONE · doi:10.1371/journal.pone.0279203 · Cited by 46 · see citing works
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 43 · see citing works
Mekkaoui, 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 · see citing works
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 · see citing works
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 · see citing works
Tuberculosis revisted: classic imaging findings in childhood
Mahomed, N., Kilborn, T., Smit, E. J., Chu, C. W., Young, C. Y. M., Koranteng, P., Kasznia-Brown, J., Winant, A. J., Lee, E. Y., & Sodhi, K. S. (2023) · Pediatric Radiology · doi:10.1007/s00247-023-05648-z · Cited by 33 · see citing works
“The rapid molecular test, Xpert Mycobacterium tuberculosis/rifampicin (MTB/ RIF), is an important diagnostic test for all forms of TB, and next-generation Xpert MTB/RIF Ultra (Xpert Ultra) has a sensitivity of 44% to 77% and specificity approaching 100% in CSF of adults with TB meningitis [40, 41].”
MethodYu, G., Zhao, W., Shen, Y., Zhu, P., & Zheng, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243161 · Cited by 33 · see citing works
“Conventional mycobacterium detection techniques do not meet the need for early detection [4].”
BackgroundCentral nervous system tuberculosis
Katrak, S. M. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117278 · Cited by 33 · see citing works
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 · see citing works
Moore, B. K., Graham, S. M., Nandakumar, S., Doyle, J., & Maloney, S. A. (2024) · Pathogens · doi:10.3390/pathogens13060467 · Cited by 30 · see citing works
“…for polymerase chain reaction (PCR) amplification and the larger chamber for DNA amplification used in Xpert Ultra reduced the limit of TB detection eight-fold, thereby increasing sensitivity [117], which is significantly higher than Xpert in CLHIV or children with smear-negative PTB [118,119].”
MethodDiagnostic 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 30 · see citing works
Chen, 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 · see citing works
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 · see citing works
Yu, G., Wang, X., Zhu, P., Shen, Y., Zhao, W., & Zhou, L. (2020) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2020.106124 · Cited by 29 · see citing works
Microbiological diagnosis of tuberculous meningitis
Garg, R. K. (2019) · The Indian Journal of Medical Research · doi:10.4103/ijmr.ijmr_1145_19 · Cited by 28 · see citing works
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 · see citing works
Abassi, M., Bangdiwala, A. S., Nuwagira, E., Tadeo, K. K., Okirwoth, M., Williams, D. A., Mpoza, E., Tugume, L., Ssebambulidde, K., Hullsiek, K. H., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1749 · Cited by 28 · see citing works
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 · see citing works
Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection
Luo, Y., Xue, Y., Tang, G., Cai, Y., Xu, Y., Lin, Q., Song, H., Liu, W., Mao, L., Zhou, Y., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.658843 · Cited by 27 · see citing works
Diagnosis 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 · see citing works
Trial of High-Dose Oral Rifampin in Adults with Tuberculous Meningitis
Meya, D. B., Cresswell, F. V., Dai, B., Engen, N. W., Naidoo, K., Ganiem, A. R., Imran, D., Kabahubya, M., Lessells, R. J., Yunivita, V., et al. (2025) · New England Journal of Medicine · doi:10.1056/nejmoa2502866 · Cited by 23 · see citing works
Xiang, Z.-B., Leng, E.-L., Cao, W.-F., Liu, S., Zhou, Y.-L., Luo, C.-Q., Hu, F., & Wen, A. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1223675 · Cited by 23 · see citing works
Roy, R. B., Bakeera‐Kitaka, S., Chabala, C., Gibb, D. M., Huynh, J., Mujuru, H. A., Sankhyan, N., Seddon, J. A., Sharma, S., Singh, V., et al. (2021) · Microorganisms · doi:10.3390/microorganisms9040857 · Cited by 22 · see citing works
Logan, C., Mullender, C., Mirfenderesky, M., Feasey, N., Cosgrove, C., Riley, P. A., Houston, A., Harrison, T., Bicanic, T. A., Rich, P., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.10.028 · Cited by 21 · see citing works
Evaluating diagnostic performance of Truenat MTB Plus for gastrointestinal tuberculosis
Sharma, K., Sharma, M., Sharma, V., Sharma, M., Samanta, J., Sharma, A., Kochhar, R. K., & Sinha, S. K. (2022) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.15878 · Cited by 21 · see citing works
Kaswala, C., Schmiedel, Y., Kundu, D., George, M. M., Dayanand, D., Devasagayam, E., Abi Manesh, S., Kumar, S. S., Michael, J. S., Ninan, M. M., et al. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.07.016 · Cited by 21 · see citing works
Diagnostic and therapeutic approach to chronic meningitis in Brazil: a narrative review
Silva, G. D., Guedes, B. F., Junqueira, I. R., Gomes, H. R., & Vidal, J. E. (2022) · Arquivos de Neuro-Psiquiatria · doi:10.1055/s-0042-1758645 · Cited by 23 · see citing works
Advances in tuberculous meningitis diagnosis
Ahlawat, S., Chaudhary, R., Dangi, M., Bala, K., Singh, M., & Chhillar, A. K. (2020) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2020.1858805 · Cited by 20 · see citing works
Huang, M., Wang, G., Sun, Q., Jiang, G., Li, W., Ding, Z., Jia, H., Gao, M., Huang, H., & Li, Q. (2021) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2020.115306 · Cited by 20 · see citing works
Value of next-generation sequencing in early diagnosis of patients with tuberculous meningitis
Lin, A., Cheng, B., Han, X., Zhang, H., Liu, X., & Liu, X. (2021) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2021.117310 · Cited by 20 · see citing works
Efficacy of Xpert MTB/RIF Ultra in diagnosing tuberculosis meningitis
Shen, Y., Yu, G., Zhao, W., & Lang, Y. (2021) · Medicine · doi:10.1097/md.0000000000026778 · Cited by 19 · see citing works
“Most of the studies agreed that the Xpert Ultra is more sensitive than the Xpert statistically,([21,28,29]) but another study reported otherwise.”
BackgroundResultTuberculosis of the spinal cord
Abi Manesh, S., Garg, D., Radhakrishnan, D. M., Agrawal, U., Vanjare, H. A., & Gandham, E. J. (2022) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_578_22 · Cited by 19 · see citing works
CSF Metabolomics of Tuberculous Meningitis: A Review
Mason, S., & Solomons, R. (2021) · Metabolites · doi:10.3390/metabo11100661 · Cited by 18 · see citing works
New management approaches to tuberculosis in people living with HIV
Mhango, D. V., Mzinza, D. T., Jambo, K., & Mwandumba, H. C. (2020) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0000000000000704 · Cited by 17 · see citing works
Extremely high levels of central nervous system involvement in miliary tuberculosis
Wang, G., Liang, R., Sun, Q., Liao, X., Wang, C., & Huang, H. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07390-7 · Cited by 16 · see citing works
Sun, L., Yao, L., Fu, G., Lin, L., Zhu, E., & Huang, J. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.12.044 · Cited by 16 · see citing works
Nuwagira, E., Hullsiek, K. H., Jjunju, S., Rutakingirwa, M. K., Kasibante, J., Tadeo, K. K., Kagimu, E., Tugume, L., Ssebambulidde, K., Musubire, A. K., et al. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.01618-22 · Cited by 15 · see citing works
“Patients underwent lumbar puncture as part of the screening process for three clinical trials (34–36) and an observational cohort focused on meningitis diagnostics (9).”
BackgroundMethodDiagnostic Accuracy of T-SPOT.TB Assay for Tuberculous Meningitis: An Updated Meta-Analysis
Luo, Y., Xue, Y., Guo, X., Lin, Q., Mao, L., Tang, G., Song, H., Wang, F., & Sun, Z. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00866 · Cited by 15 · see citing works
Diagnostic tests for tuberculous meningitis
Davis, A., & Wilkinson, R. J. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30718-2 · Cited by 15 · see citing works
Carvalho, T. F. M., Santos, V. L. A., Silva, J. C. F., Figueredo, L. J. D. A., de Miranda, S. S., Duarte, R. O., & Guimarães, F. G. (2023) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2023.03.002 · Cited by 14 · see citing works
Nasrin, R., Uddin, M. K. M., Kabir, S. N., Rahman, T., Biswas, S., Hossain, A., Rahman, S. M. M., Ahmed, S., Pouzol, S., Hoffmann, J., et al. (2024) · Tuberculosis · doi:10.1016/j.tube.2024.102478 · Cited by 15 · see citing works
Yadav, S., Rawal, G., Jeyaraman, M., & Jeyaraman, N. (2024) · Cureus · doi:10.7759/cureus.57311 · Cited by 14 · see citing works
“The improved sensitivity is crucial in settings with a high prevalence of HIV co-infection [23].”
Martyn, E. M., Bangdiwala, A. S., Kagimu, E., Rutakingirwa, M. K., Kasibante, J., Okirwoth, M., Stead, G., Wadda, V., Pullen, M. F., Bold, T. D., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1444 · Cited by 14 · see citing works
“We have recently shown that the Xpert Ultra semi-quantitative category correlates with days to CSF culture positivity [8].”
BackgroundCao, W.-F., Leng, E.-L., Liu, S., Zhou, Y.-L., Luo, C.-Q., Xiang, Z.-B., Cai, W., Rao, W., Hu, F., Zhang, P., et al. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1202752 · Cited by 13 · see citing works
“Results are quick, with a turn-around time within 2 h compared to 2–3 weeks with culture methods (Kohli et al., 2018; Cresswell et al., 2020).”
Krishnakumariamma, K., Ellappan, K., Muthaiah, M., Tamilarasu, K., Kumar, S. V., & Joseph, N. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240257 · Cited by 13 · see citing works
Pradhan, N., Paradkar, M., Kagal, A., Valvi, C., Kinikar, A. A., Khwaja, S., Dhage, R., Chandane, J., Ithape, M., Bendre, M., et al. (2022) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.21.0388 · Cited by 12 · see citing works
Huynh, J., Nhat, L. T. H., Bao, N. L. H., Hai, H. T., Thu, D. D. A., Tram, T. T. B., Dung, V. T. M., Vinh, D. D., Ngoc, N. M., Donovan, J., et al. (2024) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiad606 · Cited by 11 · see citing works
Milburn, J., Suresh, R., Doyle, R., & Jarvis, J. N. (2024) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2024.2317414 · Cited by 12 · see citing works
“Tuberculous meningitis (TBM) is the most severe form of tuberculosis (TB) and is a leading cause of meningitis in resource-limited, high HIV-prevalence settings [4,17,38,39].”
BackgroundMethodResultInfluentialRahman, S. M. M., Nasrin, R., Kabir, S., Kabir, F., Rahman, M. A., Uddin, M. K. M., Islam, A. S. M. I., Khatun, R., Ahmed, S., Mondal, M. B. A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-97664-2 · Cited by 9 · see citing works
Ajbani, K., Kazi, M. I., Agrawal, U., Jatale, R. G., Soman, R. N., Sunavala, A., Shetty, A., & Rodrigues, C. S. (2021) · Tuberculosis · doi:10.1016/j.tube.2020.102048 · Cited by 9 · see citing works
Bruchfeld, J., Forsman, L. D., Fröberg, G., & Niward, K. (2021) · Springer eBooks · doi:10.1007/978-3-030-66703-0_29 · Cited by 9 · see citing works
Krishnakumariamma, K., Ellappan, K., Muthuraj, M., Tamilarasu, K., Kumar, S. V., & Joseph, N. M. (2023) · Indian Journal of Medical Microbiology · doi:10.1016/j.ijmmb.2022.12.012 · Cited by 8 · see citing works
Sharma, K., Sharma, M., Modi, M., Goyal, M., Sharma, A., & Ray, P. (2020) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2020.101595 · Cited by 8 · see citing works
Lin, Y., Zhang, W., Xiong, Y., Wang, Y., Yu, Q., Ma, Y., & Xie, Y. (2023) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2023.116025 · Cited by 10 · see citing works
Advancing Diagnosis and Treatment in People Living with HIV and Tuberculosis Meningitis
Kimuda, S., Kasozi, D., Namombwe, S., Gakuru, J., Mugabi, T., Kagimu, E., Rutakingirwa, M. K., Leon, K. E., Chow, F. C., Wasserman, S. A., et al. (2023) · Current HIV/AIDS Reports · doi:10.1007/s11904-023-00678-6 · Cited by 7 · see citing works
Bresges, C., Wilson, D., Fielding, K., Corbett, E. L., Del-Greco, F., Grint, D. J., Peters, J. A., & Gupta‐Wright, A. (2021) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofab162 · Cited by 7 · see citing works
Neurocognitive outcomes of HIV-associated tuberculous meningitis
Quinn, C. M., Kasibante, J., Namudde, A., Bangdiwala, A. S., Kabahubya, M., Nakasujja, N., Lofgren, S. M., Elliott, A. M., Boulware, D. R., Meya, D. B., et al. (2021) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16967.1 · Cited by 7 · see citing works
Kohli, M., Inbaraj, L. R., Salomon, A., Scandrett, K., Korobitsyn, A., Ismail, N. A., Srinivasalu, V. A., Daniel, J., Steingart, K. R., & Takwoingi, Y. (2025) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012768.pub4 · Cited by 6 · see citing works
Sporothrix brasiliensis meningitis in an immunocompetent patient
Lima, M. A., Vallier, R., & Silva, M. M. (2021) · Practical Neurology · doi:10.1136/practneurol-2020-002915 · Cited by 6 · see citing works
Manyelo, C. M., Solomons, R., Snyders, C., Kidd, M., Kooblal, Y., Leukes, V., Claassen, C., Roos, K., Stanley, K., Walzl, G., et al. (2022) · Biomarkers · doi:10.1080/1354750x.2022.2071991 · Cited by 6 · see citing works
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. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15506.2 · Cited by 7 · see citing works
Accelerating extrapulmonary tuberculosis diagnosis with a rapid molecular assay
Guillet-Caruba, C., Bénet, C., Jmel, H., Doucet‐Populaire, F., & Bourgeois‐Nicolaos, N. (2025) · Microbiology Spectrum · doi:10.1128/spectrum.00104-25 · Cited by 5 · see citing works
“Invalid results were considered and classified negative (17, 18).”
CSF carnitine is a potential biomarker in paediatric tuberculous meningitis
Plaatjie, O. N., van Furth, A. M., Solomons, R., van der Kuip, M., & Mason, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-15000-0 · Cited by 5 · see citing works
Ellis, J. P., Dai, B., Kabahubya, M., Hale, G., Mande, E., Katende, G., Kagimu, E., Gakuru, J., Ndyetukira, J. F., Tukundane, A., et al. (2025) · AIDS · doi:10.1097/qad.0000000000004213 · Cited by 5 · see citing works
Sharma, V., Singh, A., Gaur, M., Rawat, D., Yadav, A., Rajan, Kumar, C., Basil, M. V., Lohiya, S., Khanna, V., et al. (2022) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-022-04449-w · Cited by 5 · see citing works
Neurocognitive outcomes of tuberculous meningitis in a primarily HIV-positive Ugandan cohort
Quinn, C. M., Kasibante, J., Namudde, A., Bangdiwala, A. S., Kabahubya, M., Nakasujja, N., Lofgren, S. M., Elliott, A. M., Boulware, D. R., Meya, D. B., et al. (2022) · Wellcome Open Research · doi:10.12688/wellcomeopenres.16967.2 · Cited by 4 · see citing works
“Patients were enrolled in the parent trial between January 14 and December 17, 2019, at Kiruddu National Referral Hospital in Kampala, Uganda and Mbarara Regional Refer-ral Hospital in Mbarara, Uganda, based on detection of TB in the cerebrospinal fluid (CSF) by Xpert MTB/RIF Ultra (Cepheid, Sunnyvale, CA) 26 , or pre…”
Tian, Y., Deng, M., Wang, Y., Duan, B., Chen, Q., Fang, Z. A., Li, Q., Zhou, G., Chen, H., & Wang, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-90391-8 · Cited by 4 · see citing works
Liu, C., Huai, R., Xiang, Y., Han, X., Chen, Z., Liu, Y., Liu, X., Liu, H., Zhang, H., Wang, S., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.989832 · Cited by 4 · see citing works
Cerebrospinal fluid lactate as a predictive biomarker for tuberculous meningitis diagnosis
de Almeida, S. M., Kussen, G. M. B., Cogo, L. L., & Nogueira, K. D. S. (2022) · Diagnosis · doi:10.1515/dx-2022-0102 · Cited by 4 · see citing works
Mera, M. A. E., Aguilar-Molina, O. E., sERNA, R. A. V., Moreno, M. A. V., & Martínez, E. (2021) · Acta Médica Colombiana · doi:10.36104/amc.2022.2115 · Cited by 4 · see citing works
Lu, W., Li, Y., Deng, J., Su, Y., Fan, H., & Huang, K. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.107826 · Cited by 3 · see citing works
Milburn, J., Ntwayagae, O., Ngoni, K., Suresh, R., Lemme, N., Northcott, C., Penney, J., Kinsella, M., Mechie, I., Ensor, S., et al. (2024) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofae489 · Cited by 3 · see citing works
“However, data on its use for diagnosing extrapulmonary TB, especially TBM, are scarce [13–15].”
BackgroundNakao, J., Fujita, K., Ishii, K., Akutsu, Y., Hara, T., Kamezaki, T., & Ishikawa, E. (2022) · Acute Medicine & Surgery · doi:10.1002/ams2.727 · Cited by 3 · see citing works
Li, M., Yang, X., Zhou, Q., Wang, J., Wang, X., & Mao, L. (2024) · IDCases · doi:10.1016/j.idcr.2024.e02096 · Cited by 3 · see citing works
Ariza, E., Ello, F., Andriamamonjisoa, H., Machault, V., González-Martín, J., Calvo-Cortes, M.-C., Eholié, S. P., Tchabert, G. A., Ouassa, T., Raberahona, M., et al. (2022) · Infectious Diseases and Therapy · doi:10.1007/s40121-022-00667-z · Cited by 3 · see citing works
“sensitive Ultra version [14], and drug susceptibility testing (DST) for pyrazinamide was introduced.”
BackgroundAn autopsy case of tuberculous meningitis undiagnosed by nested-PCR of CSF samples and brain biopsy
Kitazaki, Y., Ikawa, M., Enomoto, S., Shirafuji, N., Hayashi, K., Yamamura, O., Yamada, S., Arishima, H., Noriki, S., Nakamoto, Y., et al. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.116968 · Cited by 3 · see citing works
Mitha, M., Pillay, M., Moodley, J., Balakrishna, Y., Abbai, N. S., Bhagwan, S., Dangor, Z., & Bhigjee, A. I. (2020) · Southern African Journal of Infectious Diseases · doi:10.4102/sajid.v35i1.135 · Cited by 3 · see citing works
Bedoya, C. A. P., Zuluaga-Avendaño, S., Castaño-Sepúlveda, T., Bustamante, J., & Ospina-Ospina, S. (2021) · Revista de investigaci�n Cl�nica · doi:10.24875/ric.21000040 · Cited by 3 · see citing works
Wang, X., Liang, L., Liang, Y., & Hu, L. (2025) · BMC Infectious Diseases · doi:10.1186/s12879-025-11056-5 · Cited by 2 · see citing works
Pathophysiology of intracranial hypertension in cryptococcal meningoencephalitis
Wieren, A. V., & Casadevall, A. (2026) · mBio · doi:10.1128/mbio.00312-26 · Cited by 2 · see citing works
“For comparison, reported tuberculous meningitis bacillary counts in CSF are lower, approximately 10 2 –10 3 CFU/mL, while bacterial meningitis spans a wide range (~10 3 –10 9 CFU/mL), though the cells are smaller (44, 45).”
Tuberculous meningitis in Bhubaneswar, Odisha, during 2016 to 2022
Mohanty, C., Mohanty, T., Kar, S., Kumar, S., Rout, S. S., Bal, H. B., Barik, S. K., Turuk, J., Das, D., Sundaray, S., et al. (2023) · Indian Journal of Tuberculosis · doi:10.1016/j.ijtb.2023.09.007 · Cited by 2 · see citing works
Anand, R. P., Tandon, R., & Jha, S. (2024) · Neurology India · doi:10.4103/neuroindia.ni_1476_20 · Cited by 2 · see citing works
Randall, P. J., Mutsvangwa, J., Nliwasa, M., Wilson, L., Makamure, B., Makambwa, E., Meldau, R., Dheda, K. U. J., Munyati, S. S., Siddiqi, O. K., et al. (2024) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofae496 · Cited by 2 · see citing works
“%) of Xpert Ultra results where DNA was detected in CSF were trace readouts (and only 6 of the 14 trace readouts were positive by culture) [28].”
Wang, C., Sun, L., Li, Q., & Lu, H. (2022) · Drug Discoveries & Therapeutics · doi:10.5582/ddt.2022.01082 · Cited by 2 · see citing works
Fatal tuberculous meningitis in an infant presenting with seizures in the UK
Khambati, N., Hou, M. M., Kelly, D. F., & Song, R. (2021) · BMJ Case Reports · doi:10.1136/bcr-2021-243573 · Cited by 2 · see citing works
Diagnosing tuberculous meningitis: a testing process
Donovan, J., & Walker, T. M. (2021) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.21.0303 · Cited by 2 · see citing works
Bakterielle Meningitis und Neurotuberkulose
Klein, M. (2022) · Neurologie up2date · doi:10.1055/a-1716-7500 · Cited by 1 · see citing works
Diagnostic Prediction Model for Tuberculous Meningitis: An Individual Participant Data Meta-Analysis
Stadelman, A., Tiffin, N., Ellis, J. P., Cresswell, F. V., Ssebambulidde, K., Nuwagira, E., Richards, L., Lutje, V., Hristea, A., Jipa, R. E., et al. (2024) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.23-0789 · Cited by 3 · see citing works
Challenges and advancements in the diagnosis of central nervous system tuberculosis
Garg, R., Shukla, S., & Garg, R. K. (2025) · Indian Journal of Tuberculosis · doi:10.1016/j.ijtb.2025.08.011 · Cited by 1 · see citing works
Liang, L., Su, S., Peng, L., Zhuang, H., Chen, Y., & Cao, Y. (2026) · Microbial Pathogenesis · doi:10.1016/j.micpath.2026.108408 · Cited by 1 · see citing works
Boschung, K. F., Wong, P. H. P., Werry, D., Sekirov, I., Turvey, S. L., Cook, V. J., Johnston, J. C., & Connors, W. J. A. (2026) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofag046 · Cited by 1 · see citing works
“Importantly, while CSF culture is often the reference standard for TBM diagnosis, Xpert Ultra can detect MTB in culture-negative cases, with 1 study noting that 6 of 21 Xpert Ultra-positive TBM cases were CSF culture negative [12, 14].”
- Authors
- Cresswell, F. V., Tugume, L., Bahr, N. C., Kwizera, R., Bangdiwala, A. S., Musubire, A. K., Rutakingirwa, M., Kagimu, E., Nuwagira, E., Mpoza, E., Rhein, J., Williams, D. A., Muzoora, C., Grint, D., Elliott, A. M., Meya, D. B., & Boulware, D. R.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- Infectious Diseases Institute (UG)
- University of Kansas (US)
- University of Minnesota (US)
- Mbarara University of Science and Technology (UG)
- Corresponding author
- Cresswell, Fiona V
- ORCID
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 20
- Issue
- 3
- Pages
- 308-317
- ISSN
- 1473-3099 (ISSN-L)
- PMC
- PMC7045085
- OpenAlex
- W2998865775
- Cited by
- 124
- References
- 26
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 11 · 2023: 16 · 2022: 22 · 2021: 22 · 2020: 26 · 2019: 1
- FWCI
- 19.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Lancet Infectious Diseases (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Funders
- National Institute of Allergy and Infectious Diseases (T32AI055433)
- Fogarty International Center (K01TW010268, K43TW010718)
- National Institute of Neurological Disorders and Stroke (K23NS110470, R01NS086312)
- Wellcome Trust (210772/Z/18/Z)
- European Commission
- European and Developing Countries Clinical Trials Partnership
- African Academy of Sciences
- Medical Research Council
- Department for International Development, UK Government
- Topics
- Health Sciences › Medicine › Surgery › 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, HIV-associated tuberculosis, Xpert MTB/RIF Ultra, Xpert MTB/RIF, cerebrospinal fluid, sensitivity and specificity, molecular diagnosis, delayed diagnosis, Uganda, meningitis diagnosis, case definition, negative predictive value, resource-limited settings
- MeSH terms
- Cerebrospinal Fluid, Hospitals, Humans, Mycobacterium tuberculosis, Predictive Value of Tests, Sensitivity and Specificity, Tuberculosis, Meningeal, Uganda, HIV Infections, Tuberculosis, Multidrug-Resistant, Molecular Diagnostic Techniques
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