Evidence map›Paper›PMID 32497095›Full record

ArticlePloS one2020

Evaluation of multi-antigen serological screening for active tuberculosis among people living with HIV.

Devan Jaganath, Jayant Rajan, Christina Yoon, Resmi Ravindran, Alfred Andama, Lucy Asege, Sandra Z Mwebe, Jane Katende, Martha Nakaye, Fred C Semitala and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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.

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. In silico design ofHeliyon · 2024
    Article
  5. Article
  6. A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Review
  7. 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

12 authors.

Devan JaganathDepartment of Pediatrics, Division of Pediatric Infectious Diseases, University of California, San Francisco, CA, United States of America.ORCID 0000-0002-8555-5667
Jayant RajanDepartment of Medicine, Division of Experimental Medicine, University of California, San Francisco, CA, United States of America.
Christina YoonDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, United States of America.
Resmi RavindranDepartment of Pathology and Laboratory Medicine, University of California, Davis, CA, United States of America.
Alfred AndamaInfectious Disease Research Collaboration, Kampala, Uganda.
Lucy AsegeInfectious Disease Research Collaboration, Kampala, Uganda.
Sandra Z MwebeInfectious Disease Research Collaboration, Kampala, Uganda.
Jane KatendeInfectious Disease Research Collaboration, Kampala, Uganda.
Martha NakayeInfectious Disease Research Collaboration, Kampala, Uganda.
Fred C SemitalaInfectious Disease Research Collaboration, Kampala, Uganda.
Imran H KhanDepartment of Pathology and Laboratory Medicine, University of California, Davis, CA, United States of America.
Adithya CattamanchiDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, University of California, San Francisco, CA, United States of America.ORCID 0000-0002-6553-2601

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 1988 to 2026
$93.6M
Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
Evaluation of novel tuberculosis screening strategies for people living with HIVK23AI114363 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOON, CHRISTINA · 2014 to 2018
$943k
NIAID NIH HHS K23 AI114363NIAID NIH HHS P30 AI027763NICHD NIH HHS K12 HD000850PEPFAR
6 · The paper itself

Abstract

Better triage tests for screening tuberculosis (TB) disease are needed for people living with HIV (PLHIV). We performed the first evaluation of a previously-validated 8-antigen serological panel to screen PLHIV for pulmonary TB in Kampala, Uganda. We selected a random 1:1 sample with and without TB (defined by sputum culture) from a cohort of PLHIV initiating antiretroviral therapy. We used a multiplex microbead immunoassay and an ensemble machine learning classifier to determine the area under the receiver operating characteristic curve (AUC) for Ag85A, Ag85B, Ag85C, Rv0934-P38, Rv3881, Rv3841-BfrB, Rv3873, and Rv2878c. We then assessed the performance with the addition of four TB-specific antigens ESAT-6, CFP-10, Rv1980-MPT64, and Rv2031-HSPX, and every antigen combination. Of 262 participants (median CD4 cell-count 152 cells/μL [IQR 65-279]), 138 (53%) had culture-confirmed TB. The 8-antigen panel had an AUC of 0.53 (95% CI 0.40-0.66), and the additional 4 antigens did not improve performance (AUC 0.51, 95% CI 0.39-0.64). When sensitivity was restricted to ≥90% for the 8- and 12-antigen panel, specificity was 2.2% (95% CI 0-17.7%) and 8.1% (95% CI 0-23.9%), respectively. A three-antigen combination (Rv0934-P38, Ag85A, and Rv2031-HSPX) outperformed both panels, with an AUC of 0.60 (95% CI 0.48-0.73), 90% sensitivity (95% CI 78.2-96.7%) and 29.7% specificity (95% CI 15.9-47%). The multi-antigen panels did not achieve the target accuracy for a TB triage test among PLHIV. We identified a new combination that improved performance for TB screening in an HIV-positive sample compared to an existing serological panel in Uganda, and suggests an approach to identify novel antigen combinations specifically for screening TB in PLHIV.

Indexed as

AdultAntigens, BacterialAnti-HIV AgentsCase-Control StudiesFemaleHIV InfectionsHumansImmunoassayMaleSerologic TestsTuberculosisAntigens, BacterialAnti-HIV Agents

Identifiers

PMID32497095
PMCPMC7272080

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.