Evidence map›Paper›PMID 38820372›Full record

Trial reportPloS one2024

Prospective multicentre accuracy evaluation of the FUJIFILM SILVAMP TB LAM test for the diagnosis of tuberculosis in people living with HIV demonstrates lot-to-lot variability.

Rita Székely, Bianca Sossen, Madalo Mukoka, Monde Muyoyeta, Elizabeth Nakabugo, Jerry Hella, Hung Van Nguyen, Sasiwimol Ubolyam, Kinuyo Chikamatsu, Aurélien Macé and 20 more

Registry-linked trialAbstract readMulticenter StudyClinical Trial
In one paragraph

Trial report in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04089423 (Prospective Multicentre Evaluation of the Accuracy and Diagnostic Yield of the Fujifilm SILVAMP TB LAM), which is not on this map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 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.

NCT04089423 completednot on this map

Prospective Multicentre Evaluation of the Accuracy and Diagnostic Yield of the Fujifilm SILVAMP TB LAM (FujiLAM) Test for the Diagnosis of Tuberculosis in People Living With HIV

TypeobservationalSponsorFoundation for Innovative New Diagnostics, SwitzerlandRan2019 to 2021Enrolled1,731ConditionsDiagnosis of Tuberculosis in People Living With HIVArmsFujifilm SILVAMP TB LAM
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. 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
  7. Article
  8. Review
  9. Article
  10. Prevalence and Mortality due toOpen forum infectious diseases · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. 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
  15. Next-Generation Urinary LAM Assays-Are We There Yet?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Rita SzékelyFIND, The Global Alliance for Diagnostics, Geneva, Switzerland.
Bianca SossenDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-6028-3351
Madalo MukokaPublic Health Group, Malawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Monde MuyoyetaCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Elizabeth NakabugoInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Jerry HellaIfakara Health Institute, Dar es Salaam, Tanzania.
Hung Van NguyenNational Lung Hospital, Ha Noi, Viet Nam.
Sasiwimol UbolyamHIV-NAT, Thai Red Cross AIDS Research Centre and Centre of Excellence in Tuberculosis, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kinuyo ChikamatsuDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Aurélien MacéFIND, The Global Alliance for Diagnostics, Geneva, Switzerland.
Marcia VermeulenWellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Chad M CentnerDivision of Medical Microbiology, University of Cape Town and National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa.
Sarah NyanguCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Nsala SanjaseCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Mohamed SasamaloIfakara Health Institute, Dar es Salaam, Tanzania.
Huong Thi DinhNational Lung Hospital, Ha Noi, Viet Nam.
The Anh NgoViet Tiep Hospital, Hai Phong, Viet Nam.
Weerawat ManosuthiBamrasnaradura Infectious Diseases Institute, Nonthaburi, Thailand.
Supunnee JirajariyavejTaksin Hospital, Bangkok, Thailand.
Satoshi MitaraiDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2288-077X
Nhung Viet NguyenNational Lung Hospital, Ha Noi, Viet Nam.
Anchalee AvihingsanonHIV-NAT, Thai Red Cross AIDS Research Centre and Centre of Excellence in Tuberculosis, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Klaus ReitherSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Lydia NakiyingiInfectious Diseases Institute, Makerere University, Kampala, Uganda.
Andrew D KerkhoffDivision of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California San Francisco, San Francisco, CA, United States of America.ORCID https://orcid.org/0000-0002-5023-6658
Peter MacPhersonPublic Health Group, Malawi-Liverpool-Wellcome Programme, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-0329-9613
Graeme MeintjesDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Claudia M DenkingerFIND, The Global Alliance for Diagnostics, Geneva, Switzerland.
Morten RuhwaldFIND, The Global Alliance for Diagnostics, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1597-441X
FujiLAM Study Consortium

Funding

Malawi HIV Implementation Research Scientist Training Program (MHIRST)D43TW010060 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MINA CHRISTINE HOSSEINIPOUR, Victor Mwapasa · 2015 to 2026
$3.8M
Feasibility and acceptability of a peer-led strategy to improve community tuberculosis case finding among non-household contacts in ZambiaK23AI157914 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERKHOFF, ANDREW · 2021 to 2025
$999k
FIC NIH HHS D43 TW010060NIAID NIH HHS K23 AI157914Wellcome Trust
6 · The paper itself

Abstract

There is an urgent need for rapid, non-sputum point-of-care diagnostics to detect tuberculosis. This prospective trial in seven high tuberculosis burden countries evaluated the diagnostic accuracy of the point-of-care urine-based lipoarabinomannan assay FUJIFILM SILVAMP TB LAM (FujiLAM) among inpatients and outpatients living with HIV. Diagnostic performance of FujiLAM was assessed against a mycobacterial reference standard (sputum culture, blood culture, and Xpert Ultra from urine and sputum at enrollment, and additional sputum culture ≤7 days from enrollment), an extended mycobacterial reference standard (eMRS), and a composite reference standard including clinical evaluation. Of 1637 participants considered for the analysis, 296 (18%) were tuberculosis positive by eMRS. Median age was 40 years, median CD4 cell count was 369 cells/ul, and 52% were female. Overall FujiLAM sensitivity was 54·4% (95% CI: 48·7-60·0), overall specificity was 85·2% (83·2-87·0) against eMRS. Sensitivity and specificity estimates varied between sites, ranging from 26·5% (95% CI: 17·4%-38·0%) to 73·2% (60·4%-83·0%), and 75·0 (65·0%-82·9%) to 96·5 (92·1%-98·5%), respectively. Post-hoc exploratory analysis identified significant variability in the performance of the six FujiLAM lots used in this study. Lot variability limited interpretation of FujiLAM test performance. Although results with the current version of FujiLAM are too variable for clinical decision-making, the lipoarabinomannan biomarker still holds promise for tuberculosis diagnostics. The trial is registered at clinicaltrials.gov (NCT04089423).

Indexed as

HIV InfectionsTuberculosisAdultFemaleHumansLipopolysaccharidesMaleMiddle AgedMycobacterium tuberculosisProspective StudiesSensitivity and SpecificitySputumlipoarabinomannanLipopolysaccharides

Identifiers

PMID38820372
PMCPMC11142480

What OpenQuestion holds

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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.