ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015
Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform.
Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed.
- Targeted next-generation sequencing of sputum for diagnosis of drug-resistant TB: results of a national survey in Democratic Republic of the Congo.Scientific reports · 2020Trial
- Reimagining Tuberculosis Control in the Era of Genomics: The Case for Global Investment inPathogens (Basel, Switzerland) · 2025Review
- Nanopore sequencing for precise detection ofJournal of clinical microbiology · 2025Article
- Molecular typing of Mycobacterium tuberculosis: a review of current methods, databases, softwares, and analytical tools.FEMS microbiology reviews · 2025Review
- Article
- Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning.BMJ global health · 2024Article
- BorderlineMicrobial genomics · 2023Article
- The Role of Next-Generation Sequencing (NGS) in the Management of Tuberculosis: Practical Review for Implementation in Routine.Pathogens (Basel, Switzerland) · 2023Review
- Clinical utility of target-based next-generation sequencing for drug-resistant TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023Article
- Whole genome sequencing-based drug resistance predictions of multidrug-resistantJAC-antimicrobial resistance · 2022Article
- Application of Next Generation Sequencing for Diagnosis and Clinical Management of Drug-Resistant Tuberculosis: Updates on Recent Developments in the Field.Frontiers in microbiology · 2022Review
- Data platforms for open life sciences-A systematic analysis of management instruments.PloS one · 2022Article
- A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.Briefings in bioinformatics · 2021Article
- Advancing TB research using digitized programmatic data.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021Article
- INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis.Algorithms for molecular biology : AMB · 2021Article
- Article
- Resistance-Conferring Mutations on Whole-Genome Sequencing of Fluoroquinolone-resistant and -Susceptible Mycobacterium tuberculosis Isolates: A Proposed Threshold for Identifying Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Initial resistance to companion drugs should not be considered an exclusion criterion for the shorter multidrug-resistant tuberculosis treatment regimen.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
- Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks.mSystems · 2020Article
- Building the Framework for Standardized Clinical Laboratory Reporting of Next-generation Sequencing Data for Resistance-associated Mutations in Mycobacterium tuberculosis Complex.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Continued progress in addressing challenges associated with detection and management of tuberculosis requires new diagnostic tools. These tools must be able to provide rapid and accurate information for detecting resistance to guide selection of the treatment regimen for each patient. To achieve this goal, globally representative genotypic, phenotypic, and clinical data are needed in a standardized and curated data platform. A global partnership of academic institutions, public health agencies, and nongovernmental organizations has been established to develop a tuberculosis relational sequencing data platform (ReSeqTB) that seeks to increase understanding of the genetic basis of resistance by correlating molecular data with results from drug susceptibility testing and, optimally, associated patient outcomes. These data will inform development of new diagnostics, facilitate clinical decision making, and improve surveillance for drug resistance. ReSeqTB offers an opportunity for collaboration to achieve improved patient outcomes and to advance efforts to prevent and control this devastating disease.
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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.