Evidence map›Paper›PMID 27867751›Full record

ArticleMycobacterial diseases : tuberculosis & leprosy2016

T7 Phage Display Library a Promising Strategy to Detect Tuberculosis Specific Biomarkers.

Harvinder Talwar, Jaya Talreja, Lobelia Samavati

Abstract read
In one paragraph

Article in Mycobacterial diseases : tuberculosis & leprosy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. T7 Phage as an Emerging Nanobiomaterial with Genetically Tunable Target Specificity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Harvinder TalwarDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Wayne State University School of Medicine and Detroit Medical Center, Detroit, MI.
Jaya TalrejaDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Wayne State University School of Medicine and Detroit Medical Center, Detroit, MI.
Lobelia SamavatiDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Wayne State University School of Medicine and Detroit Medical Center, Detroit, MI; Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, E. Canfield, Detroit, MI, USA.
Wayne State University · US

Funding

Development &validationof a panel of antibodies for the diagnosis of sarcoidosisR21HL104481 · NHLBI · WAYNE STATE UNIVERSITY · PI SAMAVATI, LOBELIA · 2012 to 2013
$399k
NHLBI NIH HHS R21 HL104481
6 · The paper itself

Abstract

One-third of the world's population is infected with tuberculosis, only 10% will develop active disease and the remaining 90% is considered to have latent TB (LTB). While active TB is contagious and can be lethal, the LTB can evolve to active TB. The diagnosis of TB can be challenging, especially in the early stages, due to the variability in presentation and nonspecific signs and symptoms. Currently, we have limited tools available to diagnose active TB, predict treatment efficacy and cure of active tuberculosis, the reactivation of latent tuberculosis infection, and the induction of protective immune responses through vaccination. Therefore, the identification of robust and accurate tuberculosis-specific biomarkers is crucial for the successful eradication of TB. In this commentary, we summarized the available methods for diagnosis and differentiation of active TB from LTB and their limitations. Additionally, we present a novel peptide microarray platform as promising strategy to identify TB biomarkers.

Indexed as

BiomarkerLatent TBPeptide microarraySerum antibodyT7 phage displayTBTuberculosis

Identifiers

PMID27867751
PMCPMC5111870
OpenAlexW2466392616

What OpenQuestion holds

Textmetadata
LicenceTDM
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.