Evidence map›Paper›PMID 21475309›Full record

ReviewNature reviews. Immunology2011

Immunological biomarkers of tuberculosis.

Gerhard Walzl, Katharina Ronacher, Willem Hanekom, Thomas J Scriba, Alimuddin Zumla

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 258 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
258citing papers in PubMed, 3 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

258 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A Systematic Review on NovelFrontiers in immunology · 2018
    Pooled it
  4. Trial
  5. Effects of Pregnancy and Isoniazid Preventive Therapy on Mycobacterium tuberculosis Interferon Gamma Response Assays in Women With HIV.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Trial
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  8. Two-HitFrontiers in immunology · 2019
    Trial
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  13. Article
  14. Article
  15. Review
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  20. Diagnostic value and prognostic effect of has-miR-151a-3p in tuberculosis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
    Article

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

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

5 authors.

Gerhard WalzlImmunology Research Group, NRF/DST Centre of Excellence for TB Biomedical Research, Division of Molecular Biology and Human Genetics, Faculty of Health Sciences, Stellenbosch University, South Africa. gwalzl@sun.ac.za
Katharina Ronacher
Willem Hanekom
Thomas J Scriba
Alimuddin Zumla

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently there are no sufficiently validated biomarkers to aid the evaluation of new tuberculosis vaccine candidates, the improvement of tuberculosis diagnostics or the development of more effective and shorter treatment regimens. To date, the detection of Mycobacterium tuberculosis or its products has not been able to adequately address these needs. Understanding the interplay between the host immune system and M. tuberculosis may provide a platform for the identification of suitable biomarkers, through both unbiased and targeted hypothesis-driven approaches. Here, we review immunological markers, their relation to M. tuberculosis infection stages and their potential use in the fight against tuberculosis.

Indexed as

BiomarkersMycobacterium tuberculosisTuberculosisAntitubercular AgentsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesGene Expression ProfilingHost-Pathogen InteractionsHumansRecurrenceTreatment OutcomeTuberculosis VaccinesAntitubercular AgentsBiomarkersTuberculosis Vaccines

Identifiers

PMID21475309

What OpenQuestion holds

Textmetadata
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.