Evidence map›Paper›PMID 32357197›Full record

SynthesisPLoS medicine2020

Diagnostic accuracy of a novel tuberculosis point-of-care urine lipoarabinomannan assay for people living with HIV: A meta-analysis of individual in- and outpatient data.

Tobias Broger, Mark P Nicol, Rita Székely, Stephanie Bjerrum, Bianca Sossen, Charlotte Schutz, Japheth A Opintan, Isik S Johansen, Satoshi Mitarai, Kinuyo Chikamatsu and 6 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 16 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

50 citing papers in PubMed, 16 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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  11. Screening tests for active pulmonary tuberculosis in children.The Cochrane database of systematic reviews · 2021
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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

16 authors at 7 institutions in 8 countries.

Tobias BrogerFIND, Geneva, Switzerland.ORCID 0000-0002-7959-1055
Mark P NicolDivision of Infection and Immunity, School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-1366-4805
Rita SzékelyFIND, Geneva, Switzerland.
Stephanie BjerrumMycobacterial Research Centre of Southern Denmark, Department of Infectious Diseases, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-9046-6255
Bianca SossenDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-6028-3351
Charlotte SchutzDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-8329-6158
Japheth A OpintanDepartment of Medical Microbiology, School of Biomedical and Allied Sciences, College of Health Sciences, University of Ghana, Accra, Ghana.
Isik S JohansenMycobacterial Research Centre of Southern Denmark, Department of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Satoshi MitaraiDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID 0000-0002-2288-077X
Kinuyo ChikamatsuDepartment of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID 0000-0002-5398-9399
Andrew D KerkhoffDivision of HIV, Infectious Diseases and Global Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, Department of Medicine, University of California, San Francisco, California, United States of America.ORCID 0000-0002-5023-6658
Aurélien MacéFIND, Geneva, Switzerland.ORCID 0000-0002-3282-1650
Stefano OngarelloFIND, Geneva, Switzerland.
Graeme MeintjesDepartment of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-1196-4414
Claudia M DenkingerFIND, Geneva, Switzerland.ORCID 0000-0002-7216-7067
Samuel G SchumacherFIND, Geneva, Switzerland.ORCID 0000-0002-6136-206X
FIND · CHUniversity of Cape Town · ZAJapan Anti Tuberculosis Association · JPUniversity of Southern Denmark · DKNational Health Laboratory Service · ZASan Francisco General Hospital · USUniversity of Ghana · GH

Funding

Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
NIAID NIH HHS T32 AI060530Wellcome Trust 085251Wellcome Trust 088316Wellcome Trust 088590Wellcome Trust 098316Wellcome Trust 203135/Z/16/Z
6 · The paper itself

Abstract

backgroundTuberculosis (TB) is the most common cause of death in people living with HIV (PLHIV), yet TB often goes undiagnosed since many patients are not able to produce a sputum specimen, and traditional diagnostics are costly or unavailable. A novel, rapid lateral flow assay, Fujifilm SILVAMP TB LAM (SILVAMP-LAM), detects the presence of TB lipoarabinomannan (LAM) in urine, and is substantially more sensitive for diagnosing TB in PLHIV than an earlier LAM assay (Alere Determine TB LAM lateral flow assay [LF-LAM]). Here, we present an individual participant data meta-analysis of the diagnostic accuracy of SILVAMP-LAM in adult PLHIV, including both published and unpublished data. METHODS AND

findingsAdult PLHIV (≥18 years) were assessed in 5 prospective cohort studies in South Africa (3 cohorts), Vietnam, and Ghana, carried out during 2012 to 2017. Of the 1,595 PLHIV who met eligibility criteria, the majority (61%) were inpatients, median age was 37 years (IQR 30-43), 43% had a CD4 count ≤ 100 cells/μl, and 35% were receiving antiretroviral therapy. Most participants (94%) had a positive WHO symptom screen for TB on enrollment, and 45% were diagnosed with microbiologically confirmed TB, using mycobacterial culture or Xpert MTB/RIF testing of sputum, urine, or blood. Previously published data from inpatients were combined with unpublished data from outpatients. Biobanked urine samples were tested, using blinded double reading, with SILVAMP-LAM and LF-LAM. Applying a microbiological reference standard for assessment of sensitivity, the overall sensitivity for TB detection was 70.7% (95% CI 59.0%-80.8%) for SILVAMP-LAM compared to 34.9% (95% CI 19.5%-50.9%) for LF-LAM. Using a composite reference standard (which included patients with both microbiologically confirmed as well as clinically diagnosed TB), SILVAMP-LAM sensitivity was 65.8% (95% CI 55.9%-74.6%), and that of LF-LAM 31.4% (95% CI 19.1%-43.7%). In patients with CD4 count ≤ 100 cells/μl, SILVAMP-LAM sensitivity was 87.1% (95% CI 79.3%-93.6%), compared to 56.0% (95% CI 43.9%-64.9%) for LF-LAM. In patients with CD4 count 101-200 cells/μl, SILVAMP-LAM sensitivity was 62.7% (95% CI 52.4%-71.9%), compared to 25.3% (95% CI 15.8%-34.9%) for LF-LAM. In those with CD4 count > 200 cells/μl, SILVAMP-LAM sensitivity was 43.9% (95% CI 34.3%-53.9%), compared to 10.9% (95% CI 5.2%-18.4%) for LF-LAM. Using a microbiological reference standard, the specificity of SILVAMP-LAM was 90.9% (95% CI 87.2%-93.7%), and that of LF-LAM 95.3% (95% CI 92.2%-97.7%). Limitations of this study include the use of biobanked, rather than fresh urine samples, and testing by skilled laboratory technicians in research laboratories, rather than at the point of care.

conclusionsIn this study, we found that SILVAMP-LAM identified a substantially higher proportion of TB patients in PLHIV than LF-LAM. The sensitivity of SILVAMP-LAM was highest in patients with CD4 count ≤ 100 cells/μl. Further work is needed to demonstrate accuracy when implemented as a point-of-care test.

Indexed as

AdultAmbulatory Care FacilitiesFemaleHIV InfectionsHumansLipopolysaccharidesMalePoint-of-Care SystemsProspective StudiesTuberculosisTuberculosis, PulmonarylipoarabinomannanLipopolysaccharides

Identifiers

PMID32357197
PMCPMC7194366
OpenAlexW3022591388

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.