Evidence map›Paper›PMID 29198911›Full record

ArticleThe Lancet. Infectious diseases2018

Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study.

Susan E Dorman, Samuel G Schumacher, David Alland, Pamela Nabeta, Derek T Armstrong, Bonnie King, Sandra L Hall, Soumitesh Chakravorty, Daniela M Cirillo, Nestani Tukvadze and 23 more

Erratum issued Registry-linked trialOpen access · hybridAbstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in The Lancet. Infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06764576 (Epidemiological, Demographic and Clinical Aspects of Patients With Tuberculosis, Mycobacteriosis or Infection Latent Tuberculosis), which is not on this map. Cited by 397 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
397citing papers in PubMed, 10 pooled it
41.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06764576 recruitingnot on this mapstarted 2021, after this paper: background citation

Epidemiological, Demographic and Clinical Aspects of Patients With Tuberculosis, Mycobacteriosis or Infection Latent Tuberculosis

TypeobservationalSponsorIRCCS Azienda Ospedaliero-Universitaria di BolognaRan2021 to 2026Enrolled13,000ConditionsMycobacterial Infection, Tuberculosis (TB)
3 · Its place in the literature

Who cites it

397 citing papers in PubMed, 10 syntheses or guidelines pooled it, 674 citations in OpenAlex.

  1. Pooled it
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  4. Diagnostic accuracy of Xpert MTB/RIF Ultra for detecting pulmonary tuberculosis and rifampicin resistance: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  9. Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Pooled it
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  14. Household- Versus Incentive-Based Contact Investigation for Tuberculosis in Rural South Africa: A Cluster-Randomized Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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337 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 19 institutions in 11 countries.

Susan E DormanJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Samuel G SchumacherFIND, Geneva, Switzerland.
David AllandDivision of Infectious Diseases, Rutgers-New Jersey Medical School, Newark, NJ, USA.
Pamela NabetaFIND, Geneva, Switzerland.
Derek T ArmstrongJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Bonnie KingJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Sandra L HallBoston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Soumitesh ChakravortyDivision of Infectious Diseases, Rutgers-New Jersey Medical School, Newark, NJ, USA.
Daniela M CirilloIRCCS San Raffaele Scientific Institute, Milan, Italy.
Nestani TukvadzeNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Nino BablishviliNational Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia.
Wendy StevensDepartment of Molecular Medicine and Haematology, Faculty of Health Science, School of Pathology and the National Priority Program of the National Health Laboratory Service, Johannesburg, South Africa.
Lesley ScottDepartment of Molecular Medicine and Haematology, Faculty of Health Science, School of Pathology and the National Priority Program of the National Health Laboratory Service, Johannesburg, South Africa.
Camilla RodriguesPD Hinduja Hospital and Medical Research Centre, Mumbai, India.
Mubin I KaziPD Hinduja Hospital and Medical Research Centre, Mumbai, India.
Moses JolobaMycobacteriology Laboratory, Department of Microbiology, School of Biomedical Sciences, Makerere University, Kampala, Uganda.
Lydia NakiyingiInfectious Disease Institute, Makerere University, Kampala, Uganda.
Mark P NicolDivision of Medical Microbiology and Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa; National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa.
Yonas GhebrekristosDivision of Medical Microbiology and Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa; National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa.
Irene AnyangoKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Wilfred MurithiKenya Medical Research Institute, Center for Global Health Research, Kisumu, Kenya.
Reynaldo DietzeUniversidade Federal do Espirito Santo, Vitoria, Brazil.
Renata Lyrio PeresUniversidade Federal do Espirito Santo, Vitoria, Brazil.
Alena SkrahinaNational Reference Laboratory, Republican Scientific and Practical Centre for Pulmonology and Tuberculosis, Minsk, Belarus.
Vera AuchynkaNational Reference Laboratory, Republican Scientific and Practical Centre for Pulmonology and Tuberculosis, Minsk, Belarus.
Kamal Kishore ChopraState TB Training & Demonstration Centre, New Delhi, India.
Mahmud HanifState TB Training & Demonstration Centre, New Delhi, India.
Xin LiuHenan Provincial Chest Hospital, Zhengzhou, Henan Province, China.
Xing YuanHenan Provincial Chest Hospital, Zhengzhou, Henan Province, China.
Catharina C BoehmeFIND, Geneva, Switzerland.
Jerrold J EllnerBoston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Claudia M DenkingerFIND, Geneva, Switzerland. Electronic address: claudia.denkinger@finddx.org.
study team
Foundation for Innovative New Diagnostics · CHHenan Provincial Chest Hospital · CNKenya Medical Research Institute · KEMakerere University · UGNational Center for Tuberculosis and Lung Disease · GENational Health Laboratory Service · ZAP. D. Hinduja Hospital and Medical Research Centre · INRepublican Scientific and Practical Centre of Pulmonology and Tuberculosis · BYRutgers New Jersey Medical SchoolUniversidade Federal do Espírito Santo · BRBoston Medical Center · USGroote Schuur Hospital · ZAJohns Hopkins Medicine · USJohns Hopkins University · USRutgers, The State University of New Jersey · USBoston University · USIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Cape Town · ZAVita-Salute San Raffaele University · IT

Funding

International Tuberculosis Research in ChinaZIAAI001081 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2010 to 2025
$12.2M
Emory-Georgia TB Research Training ProgramD43TW007124 · FIC · EMORY UNIVERSITY · PI HENRY M BLUMBERG, Nestani Tukvadze · 2004 to 2026
$4.6M
Accuracy of the Xpert Ultra for Diagnosis of Pulmonary TuberculosisR01AI129411 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ALLAND, DAVID, DORMAN, SUSAN E · 2017 to 2020
$4.5M
Multidisciplinary Clinical Research and Mentoring in Tuberculosis DiagnosticsK24AI104830 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DORMAN, SUSAN E · 2015 to 2019
$790k
FIC NIH HHS D43 TW007124Medical Research Council MC_PC_16021NIAID NIH HHS HHSN272200900050CNIAID NIH HHS K24 AI104830NIAID NIH HHS R01 AI129411
6 · The paper itself

Abstract

backgroundThe Xpert MTB/RIF assay is an automated molecular test that has improved the detection of tuberculosis and rifampicin resistance, but its sensitivity is inadequate in patients with paucibacillary disease or HIV. Xpert MTB/RIF Ultra (Xpert Ultra) was developed to overcome this limitation. We compared the diagnostic performance of Xpert Ultra with that of Xpert for detection of tuberculosis and rifampicin resistance.

methodsIn this prospective, multicentre, diagnostic accuracy study, we recruited adults with pulmonary tuberculosis symptoms presenting at primary health-care centres and hospitals in eight countries (South Africa, Uganda, Kenya, India, China, Georgia, Belarus, and Brazil). Participants were allocated to the case detection group if no drugs had been taken for tuberculosis in the past 6 months or to the multidrug-resistance risk group if drugs for tuberculosis had been taken in the past 6 months, but drug resistance was suspected. Demographic information, medical history, chest imaging results, and HIV test results were recorded at enrolment, and each participant gave at least three sputum specimen on 2 separate days. Xpert and Xpert Ultra diagnostic performance in the same sputum specimen was compared with culture tests and drug susceptibility testing as reference standards. The primary objectives were to estimate and compare the sensitivity of Xpert Ultra test with that of Xpert for detection of smear-negative tuberculosis and rifampicin resistance and to estimate and compare Xpert Ultra and Xpert specificities for detection of rifampicin resistance. Study participants in the case detection group were included in all analyses, whereas participants in the multidrug-resistance risk group were only included in analyses of rifampicin-resistance detection.

findingsBetween Feb 18, and Dec 24, 2016, we enrolled 2368 participants for sputum sampling. 248 participants were excluded from the analysis, and 1753 participants were distributed to the case detection group (n=1439) and the multidrug-resistance risk group (n=314). Sensitivities of Xpert Ultra and Xpert were 63% and 46%, respectively, for the 137 participants with smear-negative and culture-positive sputum (difference of 17%, 95% CI 10 to 24); 90% and 77%, respectively, for the 115 HIV-positive participants with culture-positive sputum (13%, 6·4 to 21); and 88% and 83%, respectively, across all 462 participants with culture-positive sputum (5·4%, 3·3 to 8·0). Specificities of Xpert Ultra and Xpert for case detection were 96% and 98% (-2·7%, -3·9 to -1·7) overall, and 93% and 98% for patients with a history of tuberculosis. Xpert Ultra and Xpert performed similarly in detecting rifampicin resistance.

interpretationFor tuberculosis case detection, sensitivity of Xpert Ultra was superior to that of Xpert in patients with paucibacillary disease and in patients with HIV. However, this increase in sensitivity came at the expense of a decrease in specificity.

fundingGovernment of Netherlands, Government of Australia, Bill & Melinda Gates Foundation, Government of the UK, and the National Institute of Allergy and Infectious Diseases.

Indexed as

Drug Resistance, BacterialAdultAfricaAntibiotics, AntitubercularAsiaBacteriological TechniquesBrazilEuropeFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesMycobacterium tuberculosisProspective StudiesRifampinAntibiotics, AntitubercularRifampin

Identifiers

PMID29198911
PMCPMC6168783
OpenAlexW2771791410

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.