Evidence map›Paper›PMID 26907218›Full record

SynthesisThe Lancet. Respiratory medicine2016

Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis.

Timothy E Sweeney, Lindsay Braviak, Cristina M Tato, Purvesh Khatri

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in The Lancet. Respiratory medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04871230 (Dried Blood Spot Test to Assess TB in Pregnancy in Remote and Resource Limited Areas), which is not on this map. Cited by 291 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
291citing papers in PubMed, 9 pooled it
28.5field-weighted citation impact, top 1% 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.

NCT04871230 completednot on this mapstarted 2021, after this paper: background citation

Dried Blood Spot Test to Assess TB in Pregnancy in Remote and Resource Limited Areas

TypeobservationalSponsorInstitut Pasteur de MadagascarRan2021 to 2022Enrolled1,424ConditionsTuberculosisArms3G DBS, Sputum Test, 3G Veinous Blood
3 · Its place in the literature

Who cites it

291 citing papers in PubMed, 9 syntheses or guidelines pooled it, 451 citations in OpenAlex.

  1. Pooled it
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  10. Performance of 2 Finger-Stick Blood Tests to Triage Adults With Symptoms of Pulmonary Tuberculosis: A Prospective Multisite Diagnostic Accuracy Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Trial
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  13. Doxycycline host-directed therapy in human pulmonary tuberculosis.The Journal of clinical investigation · 2021
    Trial
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  17. Blood transcriptomic signatures distinguishEmerging microbes & infections · 2026
    Article
  18. Compartment-specific inflammation in tuberculous lymphadenitis: a case-control study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Timothy E SweeneyStanford Institute for Immunity, Transplantation and Infection, Stanford, CA, USA; Division of Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lindsay BraviakStanford Institute for Immunity, Transplantation and Infection, Stanford, CA, USA.
Cristina M TatoStanford Institute for Immunity, Transplantation and Infection, Stanford, CA, USA.
Purvesh KhatriStanford Institute for Immunity, Transplantation and Infection, Stanford, CA, USA; Division of Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: pkhatri@stanford.edu.
Stanford University · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
TrainingU54AI117925 · NIAID · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2014 to 2018
$12.9M
NIAID NIH HHS 1U19AI109662NIAID NIH HHS U01 AI089859NIAID NIH HHS U01AI089859NIAID NIH HHS U19 AI057229NIAID NIH HHS U19AI057229NIAID NIH HHS U19 AI109662NIAID NIH HHS U54 AI117925NLM NIH HHS 2T15LM007033NLM NIH HHS T15 LM007033PHS HHS U54I117925
6 · The paper itself

Abstract

backgroundActive pulmonary tuberculosis is difficult to diagnose and treatment response is difficult to effectively monitor. A WHO consensus statement has called for new non-sputum diagnostics. The aim of this study was to use an integrated multicohort analysis of samples from publically available datasets to derive a diagnostic gene set in the peripheral blood of patients with active tuberculosis.

methodsWe searched two public gene expression microarray repositories and retained datasets that examined clinical cohorts of active pulmonary tuberculosis infection in whole blood. We compared gene expression in patients with either latent tuberculosis or other diseases versus patients with active tuberculosis using our validated multicohort analysis framework. Three datasets were used as discovery datasets and meta-analytical methods were used to assess gene effects in these cohorts. We then validated the diagnostic capacity of the three gene set in the remaining 11 datasets.

findingsA total of 14 datasets containing 2572 samples from 10 countries from both adult and paediatric patients were included in the analysis. Of these, three datasets (N=1023) were used to discover a set of three genes (GBP5, DUSP3, and KLF2) that are highly diagnostic for active tuberculosis. We validated the diagnostic power of the three gene set to separate active tuberculosis from healthy controls (global area under the ROC curve (AUC) 0·90 [95% CI 0·85-0·95]), latent tuberculosis (0·88 [0·84-0·92]), and other diseases (0·84 [0·80-0·95]) in eight independent datasets composed of both children and adults from ten countries. Expression of the three-gene set was not confounded by HIV infection status, bacterial drug resistance, or BCG vaccination. Furthermore, in four additional cohorts, we showed that the tuberculosis score declined during treatment of patients with active tuberculosis.

interpretationOverall, our integrated multicohort analysis yielded a three-gene set in whole blood that is robustly diagnostic for active tuberculosis, that was validated in multiple independent cohorts, and that has potential clinical application for diagnosis and monitoring treatment response. Prospective laboratory validation will be required before it can be used in a clinical setting.

fundingNational Institute of Allergy and Infectious Diseases, National Library of Medicine, the Stanford Child Health Research Institute, the Society for University Surgeons, and the Bill and Melinda Gates Foundation.

Indexed as

Gene ExpressionArea Under CurveCohort StudiesDatabases, GeneticDatasets as TopicDual Specificity Phosphatase 3Genome-Wide Association StudyGTP-Binding ProteinsHumansKruppel-Like Transcription FactorsLatent TuberculosisOligonucleotide Array Sequence AnalysisROC CurveTuberculosis, PulmonaryDual Specificity Phosphatase 3DUSP3 protein, humanGBP5 protein, humanGTP-Binding ProteinsKLF2 protein, humanKruppel-Like Transcription Factors

Identifiers

PMID26907218
PMCPMC4838193
OpenAlexW2285903333

What OpenQuestion holds

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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.