Evidence map›Paper›PMID 31097281›Full record

ArticleThe Lancet. Global health2019

Point of care Xpert MTB/RIF versus smear microscopy for tuberculosis diagnosis in southern African primary care clinics: a multicentre economic evaluation.

Anil Pooran, Grant Theron, Lynn Zijenah, Duncan Chanda, Petra Clowes, Lawrence Mwenge, Farirai Mutenherwa, Paul Lecesse, John Metcalfe, Hojoon Sohn and 5 more

Erratum issuedOpen access · goldAbstract readComparative StudyMulticenter Study
In one paragraph

Article 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 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
3.9field-weighted citation impact, top 6% 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.

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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  15. A Generalizable Decision-Making Framework for Selecting Onsite versus Send-out Clinical Laboratory Testing.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  16. Cost-effectiveness of Low-complexity Screening Tests in Community-based Case-finding for Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 7 countries.

Anil PooranCentre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa.
Grant TheronCentre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa; Department of Science and Technology-National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, and South Africa Medical Research Council Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa.
Lynn ZijenahDepartment of Immunology, University of Zimbabwe College of Health Sciences, Harare, Zimbabwe.
Duncan ChandaUniversity Teaching Hospital, Lusaka, Zambia.
Petra ClowesNational Institute of Medical Research, Mbeya Medical Research Centre, Mbeya, Tanzania; Division of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany.
Lawrence MwengeUniversity Teaching Hospital, Lusaka, Zambia.
Farirai MutenherwaBiomedical Research and Training Institute, Harare, Zimbabwe.
Paul LecesseDenver Health Residency in Emergency Medicine, Denver Health Medical Center, Denver, CO, USA.
John MetcalfeDivision of Pulmonary and Critical Care Medicine, University of California San Francisco School of Medicine, San Francisco, CA, USA.
Hojoon SohnDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Michael HoelscherDivision of Infectious Diseases and Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany; German Centre for Infection Research, Munich, Germany.
Alex PymSouth African Medical Research Council, Africa Health Research Institute, and Durban, South Africa.
Jonny PeterDepartment of Medicine, UCT, Cape Town, South Africa.
David DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Keertan DhedaCentre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and University of Cape Town (UCT) Lung Institute and South African MRC/UCT Centre for the Study of Antimicrobial Resistance, UCT, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: keertan.dheda@uct.ac.za.
University of Cape Town · ZAJohns Hopkins University · USUniversity Teaching Hospital · ZMBiomedical Research and Training Institute · ZWDenver Health Medical Center · USLudwig-Maximilians-Universität München · DEMbeya University of Science and Technology · TZSouth African Medical Research Council · ZAStellenbosch University · ZAUniversity of California System · USUniversity of Zimbabwe · ZW

Funding

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
NIAID NIH HHS K23 AI094251
6 · The paper itself

Abstract

backgroundRapid on-site diagnosis facilitates tuberculosis control. Performing Xpert MTB/RIF (Xpert) at point of care is feasible, even when performed by minimally trained health-care workers, and when compared with point-of-care smear microscopy, reduces time to diagnosis and pretreatment loss to follow-up. However, whether Xpert is cost-effective at point of care remains unclear.

methodsWe empirically collected cost (US$, 2014) and clinical outcome data from participants presenting to primary health-care facilities in four African countries (South Africa, Zambia, Zimbabwe, and Tanzania) during the TB-NEAT trial. Costs were determined using an bottom-up ingredients approach. Effectiveness measures from the trial included number of cases diagnosed, initiated on treatment, and completing treatment. The primary outcome was the incremental cost-effectiveness of point-of-care Xpert relative to smear microscopy. The study was performed from the perspective of the health-care provider.

findingsUsing data from 1502 patients, we calculated that the mean Xpert unit cost was lower when performed at a centralised laboratory (Lab Xpert) rather than at point of care ($23·00 [95% CI 22·12-23·88] vs $28·03 [26·19-29·87]). Per 1000 patients screened, and relative to smear microscopy, point-of-care Xpert cost an additional $35 529 (27 054-40 025) and was associated with an additional 24·3 treatment initiations ([-20·0 to 68·5]; $1464 per treatment), 63·4 same-day treatment initiations ([27·3-99·4]; $511 per same-day treatment), and 29·4 treatment completions ([-6·9 to 65·6]; $1211 per completion). Xpert costs were most sensitive to test volume, whereas incremental outcomes were most sensitive to the number of patients initiating and completing treatment. The probability of point-of-care Xpert being cost-effective was 90% at a willingness to pay of $3820 per treatment completion.

interpretationIn southern Africa, although point-of-care Xpert unit cost is higher than Lab Xpert, it is likely to offer good value for money relative to smear microscopy. With the current availability of point-of-care nucleic acid amplification platforms (eg, Xpert Edge), these data inform much needed investment and resource allocation strategies in tuberculosis endemic settings.

fundingEuropean Union European and Developing Countries Clinical Trials Partnership.

Indexed as

Point-of-Care TestingCost-Benefit AnalysisHealth Care CostsHumansMicroscopyNucleic Acid Amplification TechniquesSouth AfricaTanzaniaTuberculosis, PulmonaryZambiaZimbabwe

Identifiers

PMID31097281
PMCPMC7197817
OpenAlexW2946144676

What OpenQuestion holds

Textmetadata
LicenceTDM
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.