ReviewThe Journal of infectious diseases2012
Clinical research and development of tuberculosis diagnostics: moving from silos to synergy.
Review in The Journal of infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled 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.
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
11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Biomarkers That Correlate with Active Pulmonary Tuberculosis Treatment Response: a Systematic Review and Meta-analysis.Journal of clinical microbiology · 2022Pooled it
- Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.The Cochrane database of systematic reviews · 2014Pooled it
- Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.The Cochrane database of systematic reviews · 2013Pooled it
- Article
- Tuberculosis-loop-mediated isothermal amplification implementation in Cameroon: Challenges, lessons learned and recommendations.African journal of laboratory medicine · 2022Article
- Sputum Microscopy With Fluorescein Diacetate Predicts Tuberculosis Infectiousness.The Journal of infectious diseases · 2017Article
- Prevalence of national treatment algorithm defined smear positive pulmonary tuberculosis in HIV positive patients in Brazzaville, Republic of Congo.BMC research notes · 2014Article
- Clinical application of volatile organic compound analysis for detecting infectious diseases.Clinical microbiology reviews · 2013Review
- Immunogenicity of mycobacterial vesicles in humans: identification of a new tuberculosis antibody biomarker.Tuberculosis (Edinburgh, Scotland) · 2013Article
- Evaluation of tuberculosis diagnostics in children: 1. Proposed clinical case definitions for classification of intrathoracic tuberculosis disease. Consensus from an expert panel.The Journal of infectious diseases · 2012Article
- Diagnostic Accuracy of Xpert Test in Tuberculosis Detection: A Systematic Review and Meta-analysis.Journal of global infectious diseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors at 16 institutions in 6 countries.
Funding
Abstract
The development, evaluation, and implementation of new and improved diagnostics have been identified as critical needs by human immunodeficiency virus (HIV) and tuberculosis researchers and clinicians alike. These needs exist in international and domestic settings and in adult and pediatric populations. Experts in tuberculosis and HIV care, researchers, healthcare providers, public health experts, and industry representatives, as well as representatives of pertinent US federal agencies (Centers for Disease Control and Prevention, Food and Drug Administration, National Institutes of Health, United States Agency for International Development) assembled at a workshop proposed by the Diagnostics Working Group of the Federal Tuberculosis Taskforce to review the state of tuberculosis diagnostics development in adult and pediatric populations.
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.