Evidence map›Paper›PMID 28767658›Full record

ArticlePloS one2017

Evaluation of antibody responses to panels of M. tuberculosis antigens as a screening tool for active tuberculosis in Uganda.

Priya B Shete, Resmi Ravindran, Emily Chang, William Worodria, Lelia H Chaisson, Alfred Andama, J Lucian Davis, Paul A Luciw, Laurence Huang, Imran H Khan and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
  6. Review
  7. Review
  8. Article
  9. Antibodies as clinical tools for tuberculosis.Frontiers in immunology · 2023
    Review
  10. The role of antibodies in tuberculosis diagnosis, prophylaxis and therapy: a review from the ESGMYC study group.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  11. Review
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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

11 authors at 5 institutions in 2 countries.

Priya B SheteDivision of Pulmonary and Critical Care Medicine, University of California- San Francisco and Zuckerberg San Francisco General Hospital, San Francisco CA United States of America.ORCID http://orcid.org/0000-0002-0279-8170
Resmi RavindranCenter for Comparative Medicine, University of California, Davis, Davis CA United States of America.
Emily ChangDivision of Pulmonary and Critical Care Medicine, University of California- San Francisco and Zuckerberg San Francisco General Hospital, San Francisco CA United States of America.
William WorodriaDepartment of Medicine, Makerere University College of Health Sciences, Kampala Uganda.
Lelia H ChaissonDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore MD United States of America.
Alfred AndamaDepartment of Medicine, Makerere University College of Health Sciences, Kampala Uganda.
J Lucian DavisEpidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven CT United States of America.
Paul A LuciwCenter for Comparative Medicine, University of California, Davis, Davis CA United States of America.
Laurence HuangDivision of Pulmonary and Critical Care Medicine, University of California- San Francisco and Zuckerberg San Francisco General Hospital, San Francisco CA United States of America.
Imran H KhanCenter for Comparative Medicine, University of California, Davis, Davis CA United States of America.
Adithya CattamanchiDivision of Pulmonary and Critical Care Medicine, University of California- San Francisco and Zuckerberg San Francisco General Hospital, San Francisco CA United States of America.
San Francisco General Hospital · USUniversity of California, Davis · USMakerere University · UGJohns Hopkins University · USYale University · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
MUTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007185 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle, LAURENCE HUANG · 1985 to 2026
$24.6M
Inflammation, Aging, Microbes, Obstructive Lung Disease and Diffusion Abnormalities (I AM OLD-DA) Study - Diversity SupplementR01HL128156 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE, HUNT, PETER W · 2015 to 2024
$7.1M
International HIV-associated Opportunistic Pneumonias (IHOP) StudyR01HL090335 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE · 2007 to 2011
$4.0M
Lung Microbiome in Cohorts of HIV-Infected Persons (Lung MicroCHIP) StudyU01HL098964 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE · 2009 to 2013
$3.9M
Patient-Oriented Research and Mentoring in PneumocystisK24HL087713 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, LAURENCE · 2006 to 2018
$1.8M
NHLBI NIH HHS K24 HL087713NHLBI NIH HHS R01 HL090335NHLBI NIH HHS R01 HL128156NHLBI NIH HHS T32 HL007185NHLBI NIH HHS U01 HL098964NIAID NIH HHS P30 AI027763
6 · The paper itself

Abstract

backgroundImproved systematic screening of high-risk groups is a key component of the tuberculosis (TB) elimination strategy endorsed by the World Health Organization (WHO). We used a multiplex microbead immunoassay to measure antibody responses to 28 M. tuberculosis (M.tb) antigens, and assessed whether combinations of antibody responses achieve accuracy thresholds required for a TB screening test.

methodsA random selection of plasma samples obtained from consecutive HIV-negative adults who were admitted to Mulago Hospital in Kampala, Uganda with cough ≥2 weeks' but <6 months' duration were analyzed for serological response to 28 M.tb antigens using an in-house multiplex microbead immunoassay. We compared the median difference of the antibody response to each antigen between patients with and without culture-confirmed TB, ranked each antigen according to variable importance (VIM), and assessed the sensitivity and specificity of combinations of antibody responses using an advanced classification algorithm, SuperLearner.

resultsAmong the 237 patients included in the analysis, 119 (50%) were female, median age was 32 years (IQR 25, 46), and 113 (48%) had TB. Median antibody levels to eight antigens were significantly different between patients with and without TB. A panel including eight of the top ranked antigens had a sensitivity of 90.6% (95% CI 89.4, 93.8) and a specificity of 88.6% (95% CI 78.2, 97.6) (Ag85B, Ag85A, Ag85C, Rv0934-P38, Rv3881, BfrB, Rv3873, and Rv2878c). With sensitivity constrained to be >90%, specificity remained close to 70% with as few as 3 antigens included in the panels.

conclusionsMeasuring antibody responses to combinations of antigens could facilitate TB screening and should be further evaluated in populations being targeted for systematic screening.

Indexed as

AdultAlgorithmsAntibodies, BacterialAntigens, BacterialFemaleHumansImmunoassayMaleMiddle AgedRecombinant ProteinsSensitivity and SpecificityTuberculosisUgandaAntibodies, BacterialAntigens, BacterialMycobacterium tuberculosis antigensRecombinant Proteins

Identifiers

PMID28767658
PMCPMC5540581
OpenAlexW2739603833

What OpenQuestion holds

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LicenceCC BY
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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.