Evidence map›Paper›PMID 27836953›Full record

ReviewThe European respiratory journal2016

Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis.

Elisa Petruccioli, Thomas J Scriba, Linda Petrone, Mark Hatherill, Daniela M Cirillo, Simone A Joosten, Tom H Ottenhoff, Claudia M Denkinger, Delia Goletti

Abstract readReview
In one paragraph

Review in The European respiratory journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

99 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  12. Tuberculosis in Turkiye: Epidemiological insights and recommendations for progress.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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39 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.

Elisa PetruccioliDept of Epidemiology and Preclinical Research, Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani", Rome, Italy.
Thomas J ScribaSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Cape Town, South Africa.
Linda PetroneDept of Epidemiology and Preclinical Research, Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani", Rome, Italy.
Mark HatherillSouth African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Cape Town, South Africa.
Daniela M CirilloEmerging Bacterial Pathogens Unit, Division of Immunology and Infectious Diseases, San Raffaele Scientific Institute, HSR, Milan, Italy.
Simone A JoostenLeiden University Medical Center, Leiden, The Netherlands.
Tom H OttenhoffLeiden University Medical Center, Leiden, The Netherlands.
Claudia M DenkingerTuberculosis and Hepatitis Programme, FIND, Geneva, Switzerland.
Delia GolettiDept of Epidemiology and Preclinical Research, Translational Research Unit, National Institute for Infectious Diseases "L. Spallanzani", Rome, Italy delia.goletti@inmi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New approaches to control the spread of tuberculosis (TB) are needed, including tools to predict development of active TB from latent TB infection (LTBI). Recent studies have described potential correlates of risk, in order to inform the development of prognostic tests for TB disease progression. These efforts have included unbiased approaches employing "omics" technologies, as well as more directed, hypothesis-driven approaches assessing a small set or even individual selected markers as candidate correlates of TB risk. Unbiased high-throughput screening of blood RNAseq profiles identified signatures of active TB risk in individuals with LTBI, ≥1 year before diagnosis. A recent infant vaccination study identified enhanced expression of T-cell activation markers as a correlate of risk prior to developing TB; conversely, high levels of Ag85A antibodies and high frequencies of interferon (IFN)-γ specific T-cells were associated with reduced risk of disease. Others have described CD27

Indexed as

Disease ProgressionAntigens, BacterialBase SequenceBiomarkersCD4-Positive T-LymphocytesHumansInterferon-gammaLatent TuberculosisMycobacterium tuberculosisPredictive Value of TestsAntigens, BacterialBiomarkersInterferon-gamma

Identifiers

PMID27836953
PMCPMC5898936

What OpenQuestion holds

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LicenceCC BY-NC
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.