Evidence map›Paper›PMID 42125007›Full record

ArticleIJTLD open2026

The use of urinary lateral-flow lipoarabinomannan assays for TB diagnosis in children.

I Sabi, L Olbrich, W Olomi, A Mfinanga, H J Zar, M P Nicol, Z Franckling-Smith, C Khosa, D Banze, M Nliwasa and 14 more

Abstract read
In one paragraph

Article in IJTLD open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

24 authors.

I SabiMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, Tanzania.
L OlbrichInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
W OlomiMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, Tanzania.
A MfinangaMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, Tanzania.
H J ZarDepartment of Paediatrics and Child Health, SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa.
M P NicolMarshall Centre, School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.
Z Franckling-SmithDepartment of Paediatrics and Child Health, SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa.
C KhosaInstituto Nacional de Saúde (INS), Marracuene, Mozambique.
D BanzeInstituto Nacional de Saúde (INS), Marracuene, Mozambique.
M NliwasaTB/HIV Research Group, College of Medicine, Blantyre, Malawi.
E L CorbettTB/HIV Research Group, College of Medicine, Blantyre, Malawi.
R SemphereTB/HIV Research Group, College of Medicine, Blantyre, Malawi.
V P VerghesePediatric Infectious Diseases, Department of Pediatrics, Christian Medical College (CMC), Vellore, India.
J S MichaelDepartment of Clinical Microbiology, Christian Medical College (CMC), Vellore, India.
L LarssonInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
S M GrahamUniversity of Melbourne Department of Paediatrics and Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia.
R SongOxford Vaccine Group, Department of Paediatrics and National Institute for Health and Care Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
P NabetaFIND (Foundation for Innovative New Diagnostics), Geneva, Switzerland.
A TrollipFIND (Foundation for Innovative New Diagnostics), Geneva, Switzerland.
M HoelscherInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
C GeldmacherInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
N E NtinginyaMbeya Medical Research Centre, National Institute for Medical Research, Mbeya, Tanzania.
N HeinrichInstitute of Infectious Diseases and Tropical Medicine, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
RaPaed-AIDA-TB Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetection of lipoarabinomannan (LAM) in urine is a promising non-sputum-based test for TB. We aimed to evaluate Fujifilm SILVAMP TB-LAM (FujiLAM) for the diagnosis of TB in children, using AlereLAM as a comparator.

methodsBetween January 2019 to July 2021, children and young adolescents with presumptive TB disease were enrolled in five countries as part of the RaPaed-TB study. Standardised microbiological, radiologic, and clinical data were used to define TB category following published consensus criteria. FujiLAM and AlereLAM were performed on a single urine sample at enrolment.

resultsOf 975 children enrolled, 818 (83.9%) had FujiLAM results available. Median age was 5.5 years (interquartile range 2.4-9.4), 83 (10.1%) had severe acute malnutrition, and 138 (16.9%) were living with HIV. Using a microbiological reference standard, overall sensitivity of FujiLAM was 31.0% (95% confidence interval [CI]: 24.7-37.9) and that of AlereLAM 13.3% (95% CI: 9.0-18.8), whereas the overall specificity was 89.8% (95% CI: 86.3-92.7) and 92.7% (95% CI: 89.6-95.1), respectively. Marked differences in FujiLAM accuracy were noted between production lots.

conclusionFujiLAM remains a promising non-invasive, urine-based biomarker for childhood TB diagnosis. However, the observed lot-to-lot variability underscores the need for improved assays with rigorous multi-lot evaluations to ensure reliability in future studies.

Indexed as

FujiLAMIndiaLAMMalawiMozambiquepaediatric TBSouth AfricaTanzaniatuberculosis

Identifiers

PMID42125007
PMCPMC13160273

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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.