Evidence map›Paper›PMID 32178775›Full record

Observational studyThe Lancet. Respiratory medicine2020

Blood transcriptional biomarkers for active pulmonary tuberculosis in a high-burden setting: a prospective, observational, diagnostic accuracy study.

Carolin T Turner, Rishi K Gupta, Evdokia Tsaliki, Jennifer K Roe, Prasenjit Mondal, Georgina R Nyawo, Zaida Palmer, Robert F Miller, Byron Wp Reeve, Grant Theron and 1 more

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Respiratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03187964 (Feasibility, Accuracy, and Effect of Polyvalent Point-of-care Xpert MTB/RIF Ultra and Xpert HIV-1 Viral Load Testing in HIV-positive Patients Initiating ART), which is not on this map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 7% 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.

NCT03187964 nacompletednot on this map

Feasibility, Accuracy, and Effect of Polyvalent Point-of-care Xpert MTB/RIF Ultra and Xpert HIV-1 Viral Load Testing in HIV-positive Patients Initiating ART: a Randomised Controlled Trial

TypeinterventionalSponsorUniversity of StellenboschRan2018 to 2022Enrolled1,053ConditionsHIV/AIDS, TB - Tuberculosis, Antiretroviral Therapy, Highly ActiveArmsPLHIV Point of Care Xpert Ultra, PLHIV Point of Care Xpert VL
3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 124 citations in OpenAlex.

  1. Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB diagnostics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Pooled it
  2. Pooled it
  3. Trial
  4. Treatment Strategy for Rifampin-Susceptible Tuberculosis.The New England journal of medicine · 2023
    Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Observational
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Carolin T TurnerDivision of Infection and Immunity, University College London, London, UK.
Rishi K GuptaInstitute for Global Health, University College London, London, UK.
Evdokia TsalikiDivision of Infection and Immunity, University College London, London, UK.
Jennifer K RoeDivision of Infection and Immunity, University College London, London, UK.
Prasenjit MondalDivision of Infection and Immunity, University College London, London, UK.
Georgina R NyawoDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; and Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Zaida PalmerDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; and Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Robert F MillerInstitute for Global Health, University College London, London, UK.
Byron Wp ReeveDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; and Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Grant TheronDST-NRF Centre of Excellence for Biomedical Tuberculosis Research; South African Medical Research Council Centre for Tuberculosis Research; and Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Mahdad NoursadeghiDivision of Infection and Immunity, University College London, London, UK. Electronic address: m.noursadeghi@ucl.ac.uk.
University College London · GBStellenbosch University · ZASouth African Medical Research Council · ZA

Funding

Department of Health DRF-2018-11-ST2-004Wellcome Trust
6 · The paper itself

Abstract

backgroundBlood transcriptional signatures are candidates for non-sputum triage or confirmatory tests of tuberculosis. Prospective head-to-head comparisons of their diagnostic accuracy in real-world settings are necessary to assess their clinical use. We aimed to compare the diagnostic accuracy of candidate transcriptional signatures identified by systematic review, in a setting with a high burden of tuberculosis and HIV.

methodsWe did a prospective observational study nested within a diagnostic accuracy study of sputum Xpert MTB/RIF (Xpert) and Xpert MTB/RIF Ultra (Ultra) tests for pulmonary tuberculosis. We recruited consecutive symptomatic adults aged 18 years or older self-presenting to a tuberculosis clinic in Cape Town, South Africa. Participants provided blood for RNA sequencing, and sputum samples for liquid culture and molecular testing using Xpert and Ultra. We assessed the diagnostic accuracy of candidate blood transcriptional signatures for active tuberculosis (including those intended to distinguish active tuberculosis from other diseases) identified by systematic review, compared with culture or Xpert MTB/RIF positivity as the standard reference. In our primary analysis, patients with tuberculosis were defined as those with either a positive liquid culture or Xpert result. Patients with missing blood RNA or sputum results were excluded. Our primary objective was to benchmark the diagnostic accuracy of candidate transcriptional signatures against the WHO target product profile (TPP) for a tuberculosis triage test.

findingsBetween Feb 12, 2016, and July 18, 2017, we obtained paired sputum and RNA sequencing data from 181 participants, 54 (30%) of whom had confirmed pulmonary tuberculosis. Of 27 eligible signatures identified by systematic review, four achieved the highest diagnostic accuracy with similar area under the receiver operating characteristic curves (Sweeney3: 90·6% [95% CI 85·6-95·6]; Kaforou25: 86·9% [80·9-92·9]; Roe3: 86·9% [80·3-93·5]; and BATF2: 86·8% [80·6-93·1]), independent of age, sex, HIV status, previous tuberculosis, or sputum smear result. At test thresholds that gave 70% specificity (the minimum WHO TPP specificity for a triage test), these four signatures achieved sensitivities between 83·3% (95% CI 71·3-91·0) and 90·7% (80·1-96·0). No signature met the optimum criteria, of 95% sensitivity and 80% specificity proposed by WHO for a triage test, or the minimum criteria (of 65% sensitivity and 98% specificity) for a confirmatory test, but all four correctly identified Ultra-positive, culture-negative patients.

interpretationSelected blood transcriptional signatures met the minimum WHO benchmarks for a tuberculosis triage test but not for a confirmatory test. Further development of the signatures is warranted to investigate their possible effects on clinical and health economic outcomes as part of a triage strategy, or when used as add-on confirmatory test in conjunction with the highly sensitive Ultra test for Mycobacterium tuberculosis DNA.

fundingRoyal Society Newton Advanced Fellowship, Wellcome Trust, National Institute of Health Research, and UK Medical Research Council.

Indexed as

AdultBiomarkersFemaleHumansMaleMiddle AgedMycobacterium tuberculosisProspective StudiesRNA, BacterialROC CurveSensitivity and SpecificitySequence Analysis, RNASouth AfricaSputumTranscription FactorsTriageBiomarkersRNA, BacterialTranscription Factors

Identifiers

PMID32178775
PMCPMC7113842
OpenAlexW3011382870

What OpenQuestion holds

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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.