Evidence map›Paper›PMID 31958400›Full record

SynthesisThe Lancet. Respiratory medicine2020

Concise whole blood transcriptional signatures for incipient tuberculosis: a systematic review and patient-level pooled meta-analysis.

Rishi K Gupta, Carolin T Turner, Cristina Venturini, Hanif Esmail, Molebogeng X Rangaka, Andrew Copas, Marc Lipman, Ibrahim Abubakar, Mahdad Noursadeghi

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Lancet. Respiratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 5% 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

123 citing papers in PubMed, 4 syntheses or guidelines pooled it, 188 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. The Impact of Vitamin A Deficiency on Tuberculosis Progression.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Trial
  6. Trial
  7. Article
  8. Article
  9. Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Rishi K GuptaInstitute for Global Health, University College London, London, UK.
Carolin T TurnerDivision of Infection & Immunity, University College London, London, UK.
Cristina VenturiniDivision of Infection & Immunity, University College London, London, UK.
Hanif EsmailInstitute for Global Health, University College London, London, UK; Medical Research Council Clinical Trials Unit, University College London, London, UK; Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Molebogeng X RangakaInstitute for Global Health, University College London, London, UK; Medical Research Council Clinical Trials Unit, University College London, London, UK; Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa; Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Andrew CopasInstitute for Global Health, University College London, London, UK; Medical Research Council Clinical Trials Unit, University College London, London, UK.
Marc LipmanUCL-TB and UCL Respiratory, University College London, London, UK; Department of Respiratory Medicine, Royal Free London NHS Foundation Trust, London, UK.
Ibrahim AbubakarInstitute for Global Health, University College London, London, UK.
Mahdad NoursadeghiDivision of Infection & Immunity, University College London, London, UK. Electronic address: m.noursadeghi@ucl.ac.uk.
University College London · GBMedical Research Council · GBUniversity of Cape Town · ZAWellcome Centre for Infectious Diseases Research in Africa · ZA

Funding

Department of Health DRF-2018-11-ST2-004Medical Research Council MC_UU_12023/27Wellcome TrustWellcome Trust 207511/Z/17/Z
6 · The paper itself

Abstract

backgroundMultiple blood transcriptional signatures have been proposed for identification of active and incipient tuberculosis. We aimed to compare the performance of systematically identified candidate signatures for incipient tuberculosis and to benchmark these against WHO targets.

methodsWe did a systematic review and individual participant data meta-analysis. We searched Medline and Embase for candidate whole blood mRNA signatures discovered with the primary objective of diagnosis of active or incipient tuberculosis, compared with controls who were healthy or had latent tuberculosis infection. We tested the performance of eligible signatures in whole blood transcriptomic datasets, in which sampling before tuberculosis diagnosis was done and time to disease was available. Culture-confirmed and clinically or radiologically diagnosed pulmonary or extrapulmonary tuberculosis cases were included. Non-progressor (individuals who remained tuberculosis-free during follow-up) samples with less than 6 months of follow-up from the date of sample collection were excluded, as were participants with prevalent tuberculosis and those who received preventive therapy. Scores were calculated for candidate signatures for each participant in the pooled dataset. Receiver operating characteristic curves, sensitivities, and specificities were examined using prespecified intervals to tuberculosis (<3 months, <6 months, <1 year, and <2 years) from sample collection. This study is registered with PROSPERO, number CRD42019135618.

resultsWe tested 17 candidate mRNA signatures in a pooled dataset from four eligible studies comprising 1126 samples. This dataset included 183 samples from 127 incipient tuberculosis cases in South Africa, Ethiopia, The Gambia, and the UK. Eight signatures (comprising 1-25 transcripts) that predominantly reflect interferon and tumour necrosis factor-inducible gene expression, had equivalent diagnostic accuracy for incipient tuberculosis over a 2-year period with areas under the receiver operating characteristic curves ranging from 0·70 (95% CI 0·64-0·76) to 0·77 (0·71-0·82). The sensitivity of all eight signatures declined with increasing disease-free time interval. Using a threshold derived from two SDs above the mean of uninfected controls to prioritise specificity and positive-predictive value, the eight signatures achieved sensitivities of 24·7-39·9% over 24 months and of 47·1-81·0% over 3 months, with corresponding specificities of more than 90%. Based on pre-test probability of 2%, the eight signatures achieved positive-predictive values ranging from 6·8-9·4% over 24 months and 11·2-14·4% over 3 months. When using biomarker thresholds maximising sensitivity and specificity with equal weighting to both, no signature met the minimum WHO target product profile parameters for incipient tuberculosis biomarkers over a 2-year period.

interpretationBlood transcriptional biomarkers reflect short-term risk of tuberculosis and only exceed WHO benchmarks if applied to 3-6-month intervals. Serial testing among carefully selected target groups might be required for optimal implementation of these biomarkers.

fundingWellcome Trust and National Institute for Health Research.

Indexed as

AdolescentAdultBiomarkersChildFemaleHumansLatent TuberculosisMaleMiddle AgedMycobacterium tuberculosisPredictive Value of TestsRNA, BacterialROC CurveSensitivity and SpecificityTranscription FactorsTuberculosis, PulmonaryBiomarkersRNA, BacterialTranscription Factors

Identifiers

PMID31958400
PMCPMC7113839
OpenAlexW2999051239

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.