Evidence map›Paper›PMID 32822359›Full record

SynthesisPloS one2020

Performance of diagnostic and predictive host blood transcriptomic signatures for Tuberculosis disease: A systematic review and meta-analysis.

Humphrey Mulenga, Chambrez-Zita Zauchenberger, Erick W Bunyasi, Stanley Kimbung Mbandi, Simon C Mendelsohn, Benjamin Kagina, Adam Penn-Nicholson, Thomas J Scriba, Mark Hatherill

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06875336 (A Multicentric Cohort and Biomarker Study for Improved Care of Patients with Extrapulmonary Tuberculosis), which is not on this map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 14% 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.

NCT06875336 recruitingnot on this mapstarted 2023, after this paper: background citation

A Multicentric Cohort and Biomarker Study for Improved Care of Patients with Extrapulmonary Tuberculosis

TypeobservationalSponsorUniversity of CologneRan2023 to 2025Enrolled150ConditionsExtrapulmonary TuberculosisArmsbiomarker analysis
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Biomarker tests of progression from tuberculosis infection to disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. The Three-Gene Xpert Host Response Signature for Pediatric Tuberculosis Screening: A Prospective Diagnostic Accuracy Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  16. Review
  17. Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Tuberculosis: An Update for the Clinician.Respirology (Carlton, Vic.) · 2025
    Review
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

9 authors at 1 institution in 1 country.

Humphrey MulengaSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-2030-0751
Chambrez-Zita ZauchenbergerSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Erick W BunyasiSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Stanley Kimbung MbandiSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Simon C MendelsohnSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-4054-2766
Benjamin KaginaVaccines for Africa Initiative (VACFA), School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.
Adam Penn-NicholsonSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Thomas J ScribaSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Mark HatherillSouth African Tuberculosis Vaccine Initiative (SATVI), Institute of Infectious Disease & Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZA

Funding

HIV-associated Tuberculosis Training Program (HATTP)D43TW010559 · FIC · UNIVERSITY OF CAPE TOWN · PI Graeme Ayton Meintjes · 2017 to 2026
$3.0M
FIC NIH HHS D43 TW010559
6 · The paper itself

Abstract

introductionHost blood transcriptomic biomarkers have potential as rapid point-of-care triage, diagnostic, and predictive tests for Tuberculosis disease. We aimed to summarise the performance of host blood transcriptomic signatures for diagnosis of and prediction of progression to Tuberculosis disease; and compare their performance to the recommended World Health Organisation target product profile.

methodsA systematic review and meta-analysis of the performance of host blood mRNA signatures for diagnosing and predicting progression to Tuberculosis disease in HIV-negative adults and adolescents, in studies with an independent validation cohort. Medline, Scopus, Web of Science, and EBSCO libraries were searched for articles published between January 2005 and May 2019, complemented by a search of bibliographies. Study selection, data extraction and quality assessment were done independently by two reviewers. Meta-analysis was performed for signatures that were validated in ≥3 comparable cohorts, using a bivariate random effects model.

resultsTwenty studies evaluating 25 signatures for diagnosis of or prediction of progression to TB disease in a total of 68 cohorts were included. Eighteen studies evaluated 24 signatures for TB diagnosis and 17 signatures met at least one TPP minimum performance criterion. Three diagnostic signatures were validated in clinically relevant cohorts to differentiate TB from other diseases, with pooled sensitivity 84%, 87% and 90% and pooled specificity 79%, 88% and 74%, respectively. Four studies evaluated signatures for progression to TB disease and performance of one signature, assessed within six months of TB diagnosis, met the minimal TPP for a predictive test for progression to TB disease.

conclusionHost blood mRNA signatures hold promise as triage tests for TB. Further optimisation is needed if mRNA signatures are to be used as standalone diagnostic or predictive tests for therapeutic decision-making.

Indexed as

TranscriptomeBiomarkersDisease ProgressionHumansMycobacterium tuberculosisTuberculosisBiomarkers

Identifiers

PMID32822359
PMCPMC7442252
OpenAlexW3080086861

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.