Evidence map›Paper›PMID 29664027›Full record

ReviewThe Indian journal of medical research2017

Mycobacteria-derived biomarkers for tuberculosis diagnosis.

Magdalena Druszczynska, Sebastian Wawrocki, Rafal Szewczyk, Wieslawa Rudnicka

Abstract readReview
In one paragraph

Review in The Indian journal of medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Frontiers in medicine · 2025
    Article
  4. Review
  5. Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development.International journal of molecular sciences · 2020
    Review
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

4 authors.

Magdalena DruszczynskaDepartment of Immunology & Infectious Biology, Faculty of Biology & Environmental Protection, Institute of Microbiology, Biotechnology & Immunology, University of Lodz, Lodz, Poland.
Sebastian WawrockiDepartment of Immunology & Infectious Biology, Faculty of Biology & Environmental Protection, Institute of Microbiology, Biotechnology & Immunology, University of Lodz, Lodz, Poland.
Rafal SzewczykDepartment of Industrial Microbiology & Biotechnology, Faculty of Biology & Environmental Protection, Institute of Microbiology, Biotechnology & Immunology, University of Lodz, Lodz, Poland.
Wieslawa RudnickaDepartment of Immunology & Infectious Biology, Faculty of Biology & Environmental Protection, Institute of Microbiology, Biotechnology & Immunology, University of Lodz, Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains an escalating problem worldwide. The current diagnostic methods do not always guarantee reliable diagnosis. TB treatment is a time-consuming process that requires the use of several chemotherapeutics, to which mycobacteria are becoming increasingly resistant. This article focuses on the potential utility of biomarkers of mycobacterial origin with potential implications for TB diagnosis. Properly standardized indicators could become new diagnostic tools, improving and streamlining the identification of Mycobacterium tuberculosis infection and the implementation of appropriate therapy. These markers can also potentially provide a quick confirmation of effectiveness of new anti-mycobacterial drugs and TB vaccines, leading to a possible application in practice.

Indexed as

BiomarkersAntitubercular AgentsHumansMycobacterium tuberculosisTuberculosisTuberculosis VaccinesAntitubercular AgentsBiomarkersTuberculosis VaccinesAntigen 85 complex - biomarker - diagnosis - lipoarabinomannan - mycolic acids - transrenal DNA - tuberculosis - volatile metabolites

Identifiers

PMID29664027
PMCPMC5926340

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.