Evidence map›Paper›PMID 32692731›Full record

Trial reportThe Journal of clinical investigation2020

Diagnostic accuracy of 3 urine lipoarabinomannan tuberculosis assays in HIV-negative outpatients.

Tobias Broger, Mark P Nicol, George B Sigal, Eduardo Gotuzzo, Alexandra J Zimmer, Shireen Surtie, Tatiana Caceres-Nakiche, Anna Mantsoki, Elena Ivanova Reipold, Rita Székely and 10 more

Open access · hybridAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 10% 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  11. Next-Generation Urinary LAM Assays-Are We There Yet?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 9 countries.

Tobias BrogerFIND, Geneva, Switzerland.
Mark P NicolDivision of Infection and Immunity, School of Biomedical Sciences, University of Western Australia, Perth, Australia.
George B SigalMeso Scale Diagnostics LLC, Rockville, Maryland, USA.
Eduardo GotuzzoCayetano Heredia University, Lima, Peru.
Alexandra J ZimmerFIND, Geneva, Switzerland.
Shireen SurtieDivision of Medical Microbiology, University of Cape Town, Cape Town, South Africa.
Tatiana Caceres-NakicheCayetano Heredia University, Lima, Peru.
Anna MantsokiFIND, Geneva, Switzerland.
Elena Ivanova ReipoldFIND, Geneva, Switzerland.
Rita SzékelyFIND, Geneva, Switzerland.
Michael TsionskyMeso Scale Diagnostics LLC, Rockville, Maryland, USA.
Judith van HeerdenDivision of Medical Microbiology, University of Cape Town, Cape Town, South Africa.
Tatiana PlisovaMeso Scale Diagnostics LLC, Rockville, Maryland, USA.
Kinuyo ChikamatsuDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Todd L LowaryDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Abraham PinterPublic Health Research Institute Center, New Jersey Medical School, Rutgers University, Newark, New Jersey, USA.
Satoshi MitaraiDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
Emmanuel MoreauFIND, Geneva, Switzerland.
Samuel G SchumacherFIND, Geneva, Switzerland.
Claudia M DenkingerFIND, Geneva, Switzerland.
FIND · CHMeso Scale Discovery (United States) · USUniversity of Cape Town · ZAJapan Anti Tuberculosis Association · JPUniversidad Peruana Cayetano Heredia · PERutgers, The State University of New Jersey · USUniversity of Alberta · CA

Funding

TB Surrogate Markers for Assessing Reponse to Treatment (TB SMART Study)R01AI104589 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAHID, PAYAM, SIGAL, GEORGE B · 2013 to 2017
$6.2M
Enhanced POC assay for TB in HIV-infected children based on the ultrasensitive detection of the urinary form of the lipoarabinomannan antigenR01AI152157 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI PINTER, ABRAHAM · 2020 to 2024
$3.9M
NIAID NIH HHS R01 AI104589NIAID NIH HHS R01 AI152157
6 · The paper itself

Abstract

BACKGROUNDInadequate tuberculosis (TB) diagnostics are a major hurdle in the reduction of disease burden, and accurate point-of-care tests (POCTs) are urgently needed. We assessed the diagnostic accuracy of Fujifilm SILVAMP TB lipoarabinomannan (FujiLAM) POCT for TB diagnosis in HIV-negative outpatients and compared it with Alere Determine TB LAM Ag (AlereLAM) POCT and a laboratory-based ultrasensitive electrochemiluminescence LAM research assay (EclLAM).METHODSIn this multicenter diagnostic test accuracy study, we recruited HIV-negative adults with symptoms suggestive of pulmonary TB presenting to outpatient health care centers in Peru and South Africa. Urine samples were tested using FujiLAM, AlereLAM, and EclLAM, and the diagnostic accuracy was assessed against a microbiological reference standard (MRS) and a composite reference standard.RESULTSThree hundred seventy-two HIV-negative participants were included and the prevalence of microbiologically confirmed TB was 30%. Compared with the MRS, the sensitivities of AlereLAM, FujiLAM, and EclLAM were 10.8% (95% confidence interval [CI] 6.3%-18.0%), 53.2% (95% CI 43.9%-62.1%), and 66.7% (95% CI 57.5%-74.7%), respectively. The specificities of AlereLAM, FujiLAM, and EclLAM were 92.3% (95% CI 88.5%-95.0%), 98.9% (95% CI 96.7%-99.6%), and 98.1% (95% CI 95.6%-99.2%), respectively. Positive likelihood ratios of AlereLAM, FujiLAM, and EclLAM were 1.4, 46.2, and 34.8, respectively, and positive predictive values were 37.5%, 95.2%, and 93.7%, respectively.CONCLUSIONCompared with AlereLAM, FujiLAM detected 5 times more patients with TB in HIV-negative participants, had a high positive predictive value, and has the potential to improve rapid diagnosis of TB at the point-of-care. EclLAM demonstrated that additional sensitivity gains are possible, which highlights LAM's potential as a biomarker. Additional research is required to assess FujiLAM's performance in prospective cohorts, its cost-effectiveness, and its impact in real-world clinical settings.FUNDINGGlobal Health Innovative Technology Fund, the UK Department for International Development, the Dutch Ministry of Foreign Affairs, the Bill and Melinda Gates Foundation, the Australian Department of Foreign Affairs and Trade, the German Federal Ministry of Education and Research through Kreditanstalt für Wiederaufbau, and the NIH and National Institute of Allergy and Infectious Diseases.

Indexed as

HIV SeronegativityTuberculosis, PulmonaryAdultFemaleHumansLipopolysaccharidesMaleMiddle AgedOutpatientsSensitivity and SpecificitylipoarabinomannanLipopolysaccharidesAntigenDiagnosticsInfectious diseaseTuberculosis

Identifiers

PMID32692731
PMCPMC7598043
OpenAlexW3045373257

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.