Evidence map›Paper›PMID 36521944›Full record

ArticleThe Lancet. Global health2023

Novel FujiLAM assay to detect tuberculosis in HIV-positive ambulatory patients in four African countries: a diagnostic accuracy study.

Helena Huerga, Mathieu Bastard, Alex Vicent Lubega, Milcah Akinyi, Natalia Tamayo Antabak, Liesbet Ohler, Winnie Muyindike, Ivan Mugisha Taremwa, Rosanna Stewart, Claire Bossard and 19 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
4.9field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Current laboratory diagnostics for tuberculosis: from conventional approaches to next-generation molecular and immunological technologies.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Salivary exosomalFrontiers in cellular and infection microbiology · 2026
    Article
  17. Review
  18. Article
  19. Diagnostic Accuracy of the Updated FujiLAM II Assay to Detect Tuberculosis in Outpatients With Advanced HIV Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  20. Next-Generation Urinary LAM Assays-Are We There Yet?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 12 institutions in 7 countries.

Helena HuergaDepartment of Field Epidemiology, Epicentre, Paris, France. Electronic address: helena.huerga@epicentre.msf.org.
Mathieu BastardDepartment of Field Epidemiology, Epicentre, Paris, France.
Alex Vicent LubegaDepartment of Medicine, Epicentre, Mbarara, Uganda.
Milcah AkinyiDepartment of Medicine, Médecins Sans Frontières, Nairobi, Kenya.
Natalia Tamayo AntabakDepartment of Medicine, Médecins Sans Frontières, Maputo, Mozambique.
Liesbet OhlerDepartment of Medicine, Médecins Sans Frontières, Eshowe, South Africa.
Winnie MuyindikeDepartment of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Ivan Mugisha TaremwaLaboratory of Mycobacteriology, Epicentre, Mbarara, Uganda.
Rosanna StewartDepartment of Medicine, Médecins Sans Frontières, Eshowe, South Africa.
Claire BossardDepartment of Field Epidemiology, Epicentre, Paris, France.
Nothando NkosiDepartment of Medicine, Médecins Sans Frontières, Eshowe, South Africa.
Zibusiso NdlovuSouthern African Medical Unit, Médecins Sans Frontières, Cape Town, South Africa.
Catherine HewisonDepartment of Medicine, Médecins Sans Frontières, Paris, France.
Turyahabwe StaviaNational Tuberculosis and Leprosy Control Services, Ministry of Health, Kampala, Uganda.
Gordon OkomoDepartment of Health Services, Ministry of Health, Homa Bay, Kenya.
Jeremiah Okari OgoroNational Tuberculosis and Leprosy Control Services, Ministry of Health, Nairobi, Kenya.
Jacqueline NgozoKwaZulu-Natal Department of Health, Durban, South Africa.
Mduduzi MbathaKing Cetswayo District Office, Department of Health, Eshowe, South Africa.
Couto AlenyNational STI, HIV/AIDS Control Program, Ministry of Health, Maputo, Mozambique.
Stephen WanjalaDepartment of Medicine, Médecins Sans Frontières, Nairobi, Kenya.
Mohammed MusokeDepartment of Medicine, Médecins Sans Frontières, Nairobi, Kenya.
Daniel AtwineDepartment of Medicine, Epicentre, Mbarara, Uganda.
Alexandra AscorraDepartment of Research, Epicentre, Paris, France.
Elisa ArdizzoniMycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium.
Martina CasenghiDepartment of Innovation and New Technology, Elizabeth Glaser Pediatric AIDS Foundation, Geneva, Switzerland.
Gabriella FerlazzoSouthern African Medical Unit, Médecins Sans Frontières, Cape Town, South Africa.
Lydia NakiyingiDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Ankur Gupta-WrightInstitute for Global Health, University College London, London, UK.
Maryline BonnetUniversité de Montpellier, TransVIHMI, INSERM, IRD, Montpellier, France.
Médecins Sans Frontières · ZAEpicentre Uganda · UGVétérinaires Sans Frontières Suisse · KEMinistry of Health · KEInserm · FRInstituut voor Tropische Geneeskunde · BEMakerere University · UGMbarara National Referral Hospital · UGMédecins Sans Frontières · FRMinistry of Health · MZMinistry of Health · UGUniversity College London · GB

Funding

Medical Research Council MR/M007375/1
6 · The paper itself

Abstract

backgroundDevelopment of rapid biomarker-based tests that can diagnose tuberculosis using non-sputum samples is a priority for tuberculosis control. We aimed to compare the diagnostic accuracy of the novel Fujifilm SILVAMP TB LAM (FujiLAM) assay with the WHO-recommended Alere Determine TB-LAM Ag test (AlereLAM) using urine samples from HIV-positive patients.

methodsWe did a diagnostic accuracy study at five outpatient public health facilities in Uganda, Kenya, Mozambique, and South Africa. Eligible patients were ambulatory HIV-positive individuals (aged ≥15 years) with symptoms of tuberculosis irrespective of their CD4 T-cell count (group 1), and asymptomatic patients with advanced HIV disease (CD4 count <200 cells per μL, or HIV clinical stage 3 or 4; group 2). All participants underwent clinical examination, chest x-ray, and blood sampling, and were requested to provide a fresh urine sample, and two sputum samples. FujiLAM and AlereLAM urine assays, Xpert MTB/RIF Ultra assay on sputum or urine, sputum culture for Mycobacterium tuberculosis, and CD4 count were systematically carried out for all patients. Sensitivity and specificity of FujiLAM and AlereLAM were evaluated against microbiological and composite reference standards.

findingsBetween Aug 24, 2020 and Sept 21, 2021, 1575 patients (823 [52·3%] women) were included in the study: 1031 patients in group 1 and 544 patients in group 2. Tuberculosis was microbiologically confirmed in 96 (9·4%) of 1022 patients in group 1 and 18 (3·3%) of 542 patients in group 2. Using the microbiological reference standard, FujiLAM sensitivity was 60% (95% CI 51-69) and AlereLAM sensitivity was 40% (31-49; p<0·001). Among patients with CD4 counts of less than 200 cells per μL, FujiLAM sensitivity was 69% (57-79) and AlereLAM sensitivity was 52% (40-64; p=0·0218). Among patients with CD4 counts of 200 cells per μL or higher, FujiLAM sensitivity was 47% (34-61) and AlereLAM sensitivity was 24% (14-38; p=0·0116). Using the microbiological reference standard, FujiLAM specificity was 87% (95% CI 85-89) and AlereLAM specificity was 86% (95 CI 84-88; p=0·941). FujiLAM sensitivity varied by lot number from 48% (34-62) to 76% (57-89) and specificity from 77% (72-81) to 98% (93-99).

interpretationNext-generation, higher sensitivity urine-lipoarabinomannan assays are potentially promising tests that allow rapid tuberculosis diagnosis at the point of care for HIV-positive patients. However, the variability in accuracy between FujiLAM lot numbers needs to be addressed before clinical use.

fundingANRS and Médecins Sans Frontières.

Indexed as

HIV InfectionsMycobacterium tuberculosisTuberculosisAfrican PeopleCD4 Lymphocyte CountFemaleHumansLipopolysaccharidesMaleSensitivity and SpecificitySouth AfricaLipopolysaccharides

Identifiers

PMID36521944
PMCPMC9747168
OpenAlexW4311274188

What OpenQuestion holds

Textmetadata
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.