Evidence map›Paper›PMID 30683238›Full record

SynthesisThe Lancet. Global health2019

Effect of Xpert MTB/RIF on clinical outcomes in routine care settings: individual patient data meta-analysis.

Gian Luca Di Tanna, Ali Raza Khaki, Grant Theron, Kerrigan McCarthy, Helen Cox, Lucy Mupfumi, Anete Trajman, Lynn Sodai Zijenah, Peter Mason, Tsitsi Bandason and 14 more

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in The Lancet. Global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Gian Luca Di TannaTB Centre, London, UK; Riskcenter-IREA, Department of Econometrics, Statistics and Applied Economics, University of Barcelona, Barcelona, Spain.
Ali Raza KhakiDivision of Oncology, University of Washington, Seattle, WA, USA.
Grant TheronDST-NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa.
Kerrigan McCarthyNational Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.
Helen CoxDivision of Medical Microbiology, and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Lucy MupfumiBotswana Harvard AIDS Institute, Gaborone, Botswana.
Anete TrajmanFederal University of Rio de Janeiro, Rio de Janeiro, Brazil; McGill University, Montreal, QC, Canada.
Lynn Sodai ZijenahDepartment of Immunology, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe.
Peter MasonBiomedical Research and Training Institute, Harare, Zimbabwe.
Tsitsi BandasonBiomedical Research and Training Institute, Harare, Zimbabwe.
Betina DurovniMunicipal Health Secretariat, Rio de Janeiro, Brazil.
Wilbert BaraZimbabwe Ministry of Health and Child Welfare, Harare, Zimbabwe.
Michael HoelscherMbeya Medical Research Center, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany.
Petra ClowesMbeya Medical Research Center, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany.
Chacha ManguMbeya Medical Research Center, Mbeya, Tanzania.
Duncan ChandaUniversity Teaching Hospital and University of Zambia School of Medicine, Lusaka, Zambia.
Alexander PymAfrica Health Research Institute, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Peter MwabaUniversity Teaching Hospital and University of Zambia School of Medicine, Lusaka, Zambia.
Frank CobelensDepartment of Global Health and Amsterdam Institute for Global Health and Development, Academic Medical Center, Amsterdam, Netherlands.
Mark P NicolNational Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; Division of Medical Microbiology, and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Keertan DhedaLondon School of Hygiene and Tropical Medicine, London, UK; Lung Infection and Immunity Unit, Division of Pulmonology, University of Cape Town, Cape Town, South Africa.
Gavin ChurchyardThe Aurum Institute, Johannesburg, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Advancing Care and Treatment for TB/HIV, South African Medical Research Council, Johannesburg, South Africa.
Katherine FieldingTB Centre, London, UK.
John Z MetcalfeDivision of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA. Electronic address: john.metcalfe@ucsf.edu.

Funding

TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
Novel next-generation sequencing assay for monitoring multidrug resistant tuberculosis treatment in the setting of HIV infectionR01AI131939 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ENGELTHALER, DAVID M, METCALFE, JOHN ZAPATA · 2018 to 2023
$3.9M
Improving Early Identification of Drug Resistant Tuberculosis in HIV Prevalent SeK23AI094251 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI METCALFE, JOHN ZAPATA · 2011 to 2015
$625k
Medical Research Council MR/K012126/1Medical Research Council MR/R010161/1NCI NIH HHS T32 CA009515NIAID NIH HHS K23 AI094251NIAID NIH HHS R01 AI131939Wellcome Trust
6 · The paper itself

Abstract

backgroundXpert MTB/RIF, the most widely used automated nucleic acid amplification test for tuberculosis, is available in more than 130 countries. Although diagnostic accuracy is well documented, anticipated improvements in patient outcomes have not been clearly identified. We performed an individual patient data meta-analysis to examine improvements in patient outcomes associated with Xpert MTB/RIF.

methodsWe searched PubMed, Embase, ClinicalTrials.gov, and the Pan African Clinical Trials Registry from inception to Feb 1, 2018, for randomised controlled trials (RCTs) comparing the use of Xpert MTB/RIF with sputum smear microscopy as tests for tuberculosis diagnosis in adults (aged 18 years or older). We excluded studies of patients with extrapulmonary tuberculosis, and studies in which mortality was not assessed. We used a two-stage approach for our primary analysis and a one-stage approach for the sensitivity analysis. To assess the primary outcome of cumulative 6-month all-cause mortality, we first performed logistic regression models (random effects for cluster randomised trials, with robust SEs for multicentre studies) for each trial, and then pooled the odds ratio (OR) estimates by a fixed-effects (inverse variance) or random-effects (Der Simonian Laird) meta-analysis. We adjusted for age and gender, and stratified by HIV status and previous tuberculosis-treatment history. The study protocol has been registered with PROSPERO, number CRD42014013394.

findingsOur search identified 387 studies, of which five RCTs were eligible for analysis. 8567 adult clinic attendees (4490 [63·5%] of 7074 participants for whom data were available were HIV-positive) were tested for tuberculosis with Xpert MTB/RIF (Xpert group) versus sputum smear microscopy (sputum smear group), across five low-income and middle-income countries (South Africa, Brazil, Zimbabwe, Zambia, and Tanzania). The primary outcome (reported in three studies) occurred in 182 (4·5%) of 4050 patients in the Xpert group and 217 (5·3%) of 4093 patients in the smear group (pooled adjusted OR 0·88, 95% CI 0·68-1·14 [p=0·34]; for HIV-positive individuals OR 0·83, 0·65-1·05 [p=0·12]). Kaplan-Meier estimates showed a lower rate of death (12·73 per 100 person-years in the Xpert group vs 16·38 per 100 person-years in the sputum smear group) for HIV-positive patients (hazard ratio 0·76, 95% CI 0·60-0·97; p=0·03). The risk of bias was assessed as reasonable and the statistical heterogeneity across studies was low (I

interpretationDespite individual patient data analysis from five RCTs, we were unable to confidently rule in nor rule out an Xpert MTB/RIF-associated reduction in mortality among outpatients tested for tuberculosis. Reduction in mortality among HIV-positive patients in a secondary analysis suggests the possibility of population-level impact.

fundingUS National Institutes of Health.

Indexed as

Nucleic Acid Amplification TechniquesAdultAntitubercular AgentsBrazilCause of DeathFemaleHIV InfectionsHumansMaleMiddle AgedMortalityMycobacterium tuberculosisOdds RatioOutcome Assessment, Health CareProportional Hazards ModelsSouth AfricaAntitubercular Agents

Identifiers

PMID30683238
PMCPMC6366854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.