Evidence map›Paper›PMID 28859607›Full record

ArticleBMC infectious diseases2017

Suitability of saliva for Tuberculosis diagnosis: comparing with serum.

Anna Ritah Namuganga, Novel N Chegou, Paul Mubiri, Gerhard Walzl, Harriet Mayanja-Kizza

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. 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
  2. Review
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  10. Differential levels of anti-Frontiers in medicine · 2023
    Article
  11. Observational
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  13. Diagnosing Tuberculosis: What Do New Technologies Allow Us to (Not) Do?Respiration; international review of thoracic diseases · 2022
    Review
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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.

Anna Ritah NamugangaJoint Clinical Research Centre, Kampala, Uganda. annamuganga@gmail.com.ORCID 0000-0001-7793-8599
Novel N ChegouDivision of Molecular Biology and Human Genetics, Department of Biomedical Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Paul MubiriUganda - Case Western Research Collaboration, Mulago-Kampala, Uganda.
Gerhard WalzlDivision of Molecular Biology and Human Genetics, Department of Biomedical Sciences, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research and SAMRC Centre for Tuberculosis Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Harriet Mayanja-KizzaUganda - Case Western Research Collaboration, Mulago-Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the search for fast, simple and better ways for diagnosis of tuberculosis (TB), there is need to discover and evaluate new biomarkers that are found in samples other than sputum to determine their effectiveness. This study examined the utility of saliva vis-a-vis serum by evaluating levels of biomarkers found in saliva and serum from TB suspects.

methodsStudy enrolled tuberculosis suspects. Sputum MGIT was used as the gold standard for active TB. Quantiferon gold-In tube assay was done to identify exposure to Mycobacterium tuberculosis (M.tb). Multiplex assay was run for 10 markers using a 10 plex customized kit from Bio-Rad Laboratories.

resultsThere was a significant difference between saliva and serum marker levels. Saliva had significantly higher levels of GM-CSF and VEGF. Serum had higher levels of MIP-1a, b, TNF-a, G-CSF and IFN-g. Serum levels of IL-6, VEGF and TNF-a were significantly different between participants with active TB disease and those with other respiratory diseases.

conclusionSalivary TB biomarkers are worth the search to evaluate their ability to differentiate between TB disease states for generation of a non invasive point of care test for TB diagnosis.

Indexed as

AdultBiomarkersFemaleGranulocyte Colony-Stimulating FactorHumansInterferon-gammaInterleukin-6MaleMiddle AgedMycobacterium tuberculosisReagent Kits, DiagnosticSalivaTuberculosisTumor Necrosis Factor-alphaVascular Endothelial Growth Factor ABiomarkersGranulocyte Colony-Stimulating FactorIL6 protein, humanInterferon-gammaInterleukin-6Reagent Kits, DiagnosticTNF protein, humanTumor Necrosis Factor-alphaVascular Endothelial Growth Factor AVEGFA protein, humanBiomarkersQuantiferonSaliva

Identifiers

PMID28859607
PMCPMC5580300

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Registered trials

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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.