Evidence map›Paper›PMID 25475107›Full record

ReviewCold Spring Harbor perspectives in medicine2014

Clinical immunology and multiplex biomarkers of human tuberculosis.

Gerhard Walzl, Mariëlle C Haks, Simone A Joosten, Léanie Kleynhans, Katharina Ronacher, Tom H M Ottenhoff

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Pooled it
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  8. Review
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  14. Article
  15. Proteomics ofFrontiers in immunology · 2018
    Review
  16. Article
  17. Review
  18. Interleukin-10 Family and Tuberculosis: An Old Story Renewed.International journal of biological sciences · 2016
    Review
  19. Review
  20. Article
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

6 authors.

Gerhard WalzlDST/NRF Centre of Excellence for Biomedical TB Research/MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa.
Mariëlle C HaksDepartment of Infectious Diseases, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Simone A JoostenDepartment of Infectious Diseases, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.
Léanie KleynhansDST/NRF Centre of Excellence for Biomedical TB Research/MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa.
Katharina RonacherDST/NRF Centre of Excellence for Biomedical TB Research/MRC Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7505, South Africa.
Tom H M OttenhoffDepartment of Infectious Diseases, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of tuberculosis (TB) biomarkers is an important goal in current TB research, because the availability of such markers would have significant impact on TB prevention and treatment. Correlates of protection would greatly facilitate vaccine development and evaluation, whereas correlates of TB disease risk would facilitate early diagnosis and help installing early or preventive treatment. Currently, no such markers are available. This review describes several strategies that are currently being pursued to identify TB biomarkers and places these in a clinical context. The approaches discussed include both targeted and untargeted hypothesis-free strategies. Among the first are the measurements of specific biomarkers in antigen-stimulated peripheral blood, in serum or plasma, and detailed immune cell phenotyping. Among the latter are proteomic, genomic, and transcriptomic (mRNA, miRNA) approaches. Recent and promising developments are described.

Indexed as

BiomarkersGene Expression ProfilingGenomicsHumansImmunophenotypingMycobacterium tuberculosisProteomicsTuberculosisBiomarkers

Identifiers

PMID25475107
PMCPMC4382732

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.