Evidence map›Paper›PMID 37031646›Full record

ReviewTuberculosis (Edinburgh, Scotland)2023

Evolution of tuberculosis diagnostics: From molecular strategies to nanodiagnostics.

Srestha Mukherjee, Summaya Perveen, Anjali Negi, Rashmi Sharma

Open access · greenAbstract readReview
In one paragraph

Review in Tuberculosis (Edinburgh, Scotland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

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  16. Quantum Dot-Based Nanosensors for In Vitro Detection ofNanomaterials (Basel, Switzerland) · 2024
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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

4 authors at 2 institutions in 1 country.

Srestha MukherjeeVellore Institute of Technology, Vellore, Tamil Nadu, India.
Summaya PerveenInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Anjali NegiInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
Rashmi SharmaInfectious Diseases Division, CSIR- Indian Institute of Integrative Medicine, Jammu, 180001, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address: rashmi.sharma.09@iiim.res.in.
Indian Institute of Integrative Medicine · INVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis has remained a global concern for public health affecting the lives of people for ages. Approximately 10 million people are affected by the disease and 1.5 million succumb to the disease worldwide annually. The COVID-19 pandemic has highlighted the role of early diagnosis to win the battle against such infectious diseases. Thus, advancement in the diagnostic approaches to provide early detection forms the foundation to eradicate and manage contagious diseases like tuberculosis. The conventional diagnostic strategies include microscopic examination, chest X-ray and tuberculin skin test. The limitations associated with sensitivity and specificity of these tests demands for exploring new techniques like probe-based assays, CRISPR-Cas and microRNA detection. The aim of the current review is to envisage the correlation between both the conventional and the newer approaches to enhance the specificity and sensitivity. A significant emphasis has been placed upon nanodiagnostic approaches manipulating quantum dots, magnetic nanoparticles, and biosensors for accurate diagnosis of latent, active and drug-resistant TB. Additionally, we would like to ponder upon a reliable method that is cost-effective, reproducible, require minimal infrastructure and provide point-of-care to the patients.

Indexed as

COVID-19Mycobacterium tuberculosisTuberculosisHumansPandemicsTuberculin TestBiosensorsDiagnosticsMulti-drug resistant TBMycobacterium tuberculosisPathogenesisTB

Identifiers

PMID37031646
PMCPMC10072981
OpenAlexW4362635948

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.