ReviewFrontiers in microbiology2022
Improved Conventional and New Approaches in the Diagnosis of Tuberculosis.
Review in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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.
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.
Who cites it
32 citing papers in PubMed, 63 citations in OpenAlex.
- Advances in electrochemical immunosensors for tuberculosis detection: a systematic review.Biotechnology reports (Amsterdam, Netherlands) · 2026Review
- A diagnostic dilemma: abdominal tuberculosis mimicking suspected Crohn's disease or latent tuberculosis activated by biologic therapy.Clinical journal of gastroenterology · 2026Article
- Diagnostic Discordance During MDR-TB Treatment: Retrospective Identification ofMicroorganisms · 2026Article
- Article
- Review
- Advancements in laboratory diagnostics for HIV/MTB coinfection: Integrating conventional methods with emerging technologies.Practical laboratory medicine · 2025Review
- Diagnostic accuracy of stool based Xpert MTB/RIF ultra assay for diagnosis of pulmonary tuberculosis in children, Northwest Ethiopia.Scientific reports · 2025Article
- Review
- Reliable, accessible, cost-effective, & easy (RACE) diagnostic modality: A key for elimination of tuberculosis.The Indian journal of medical research · 2025Review
- Targeted next-generation sequencing: a promising approach forMicrobiology spectrum · 2025Article
- Clinical metagenomics analysis of bacterial and fungal microbiota from sputum of patients suspected with tuberculosis infection based on nanopore sequencing.Scientific reports · 2025Article
- Advances on Electrochemiluminescent Biosensors for TB Biomarkers.ACS sensors · 2025Review
- CLINICALLY RELEVANT METALLIC NANOPARTICLES IN TUBERCULOSIS DIAGNOSIS AND THERAPY.Advanced therapeutics · 2025Article
- Fast Screening of Tuberculosis Patients Based on Analysis of Plasma by Infrared Spectroscopy Coupled with Machine Learning Approaches.ACS omega · 2025Article
- Prevalence and molecular characterization of drug-resistantFrontiers in cellular and infection microbiology · 2025Article
- A comparative study using Xpert MTB/RIF and culture methods evaluates MassARRAY technology for rapid detection ofFrontiers in cellular and infection microbiology · 2025Article
- Comparison and evaluation of metagenomic next-generation sequencing (mNGS) and real-time PCR for the detection ofFrontiers in cellular and infection microbiology · 2025Article
- Advancing the fight against tuberculosis: integrating innovation and public health in diagnosis, treatment, vaccine development, and implementation science.Frontiers in medicine · 2025Review
- Article
- Tuberculosis Diagnosis: Current, Ongoing, and Future Approaches.Diseases (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is a life-threatening infectious disease caused by
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.