e-learning
resources
ERJ
2018
Login
Search all ERS
e-learning
resources
Disease Areas
Airways Diseases
Interstitial Lung Diseases
Respiratory Critical Care
Respiratory Infections
Paediatric Respiratory Diseases
Pulmonary Vascular Diseases
Sleep and Breathing Disorders
Thoracic Oncology
Events
International Congress
Courses
Webinars
Conferences
Research Seminars
Journal Clubs
Publications
Breathe
Monograph
ERJ
ERJ Open Research
ERR
European Lung White Book
Handbook Series
Guidelines
All ERS guidelines
e-learning
CME Online
Case reports
Short Videos
SpirXpert
Procedure Videos
CME tests
Reference Database of Respiratory Sounds
Radiology Image Challenge
Brief tobacco interventions
EU Projects
VALUE-Dx
ERN-LUNG
ECRAID
UNITE4TB
Disease Areas
Events
Publications
Guidelines
e-learning
EU Projects
Login
Search
An evaluation framework for new tests that predict progression from tuberculosis infection to clinical disease
Sandra V. Kik, Samuel Schumacher, Daniela Maria Cirillo, Gavin Churchyard, Catharina Boehme, Delia Goletti, Molebogeng X. Rangaka, Claudia M. Denkinger, Christian Lienhardt, Christopher Gilpin, Alberto Matteelli, Frank Cobelens
Source:
Eur Respir J, 52 (4) 1800946; 10.1183/13993003.00946-2018
Journal Issue:
October
Disease area:
Respiratory infections
Rating:
You must
login
to grade this presentation.
Share or cite this content
Citations should be made in the following way:
Sandra V. Kik, Samuel Schumacher, Daniela Maria Cirillo, Gavin Churchyard, Catharina Boehme, Delia Goletti, Molebogeng X. Rangaka, Claudia M. Denkinger, Christian Lienhardt, Christopher Gilpin, Alberto Matteelli, Frank Cobelens. An evaluation framework for new tests that predict progression from tuberculosis infection to clinical disease. Eur Respir J, 52 (4) 1800946; 10.1183/13993003.00946-2018
You must
login
to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
No comment yet.
You must
Login
to comment this presentation.
Related content which might interest you:
Expert interview: TB-Machine learning and artificial intelligence as allies in clinical decision
The Relationship Between Functional Status and Fatigue After COVID-19 Infection
Late Breaking Abstract - Implications of treatable traits and treatment choices on exacerbation risk in moderate-severe asthma
Related content which might interest you:
IGRA testing to diagnose TB disease and infection. What is new in clinical practice and for programmatic management
Source: School Course 2012 - TB and M/XDR-TB: from clinical management to control and elimination
Year: 2012
Framework for the evaluation of new tests for tuberculosis infection
Source: Eur Respir J, 58 (2) 2004078; 10.1183/13993003.04078-2020
Year: 2021
Sputum induction for assessment of biomarkers in early development of new drugs for respiratory disease in a proof of concept setting
Source: International Congress 2016 – Airway biomarkers
Year: 2016
PCR based method for accurate diagnosis of mycobacterial disease and description of clinical profile of disease caused by non tuberculous mycobacteria
Source: Annual Congress 2012 - Non-tuberculous and tuberculous mycobacterial infections: from epidemiology to clinical findings
Year: 2012
Evaluation of new biomarkers for laboratory diagnosis of tuberculosis
Source: International Congress 2018 – The immune response to tuberculosis: development of biomarkers and diagnostic tools
Year: 2018
Transcriptional biomarkers for predicting development of tuberculosis: progress and clinical considerations
Source: Eur Respir J, 55 (3) 1901957; 10.1183/13993003.01957-2019
Year: 2020
T-cell biomarkers for diagnosis of tuberculosis: candidate evaluation by a simple whole blood assay for clinical translation
Source: Eur Respir J, 51 (3) 1800153; 10.1183/13993003.00153-2018
Year: 2018
How to better assess and predict disease progression and treatment response: home-based spirometry, biomarkers or …?
Source: International Congress 2019 – High-tech in interstitial lung diseases: just hype and gadgets?
Year: 2019
The set of immunological tests for detection of active tuberculosis in children with latent infection
Source: International Congress 2019 – Paediatric tuberculosis
Year: 2019
Antibody and host inflammatory biomarker combinations as diagnostic tools for TB disease
Source: International Congress 2017 – Update on TB: latest news
Year: 2017
The definition of tuberculosis infection based on the spectrum of tuberculosis disease
Source: Breathe, 17 (3) 210079; 10.1183/20734735.0079-2021
Year: 2021
Advancing global programmatic management of latent tuberculosis infection for at risk populations
Source: Eur Respir J 2016; 47:1327-1330
Year: 2016
The influence of SARS-CoV-2 co-infection and active tuberculosis on the severity of the disease course and mortality.
Source: Virtual Congress 2021 – Tuberculosis, COVID-19 and other comorbidities
Year: 2021
A basic prediction model with clinical parameters to diagnose lung cancer.
Source: Virtual Congress 2021 – Screening, diagnosis, management and prognosis of lung cancer
Year: 2021
Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis
Source: Eur Respir J 2016; 48: 1751-1763
Year: 2016
A new paradigm for classification of disease severity and progression of COPD
Source: Annual Congress 2012 - Prevalences and characterstics of obstructive airway disease
Year: 2012
Does radiological lesions extent predict pulmonary tuberculosis outcome?
Source: Annual Congress 2009 - Clinical tuberculosis
Year: 2009
Are
in vitro
sensitivity tests for tuberculosis drugs a good guide of clinical outcome?
Source: Annual Congress 2006 - The management of multidrug-resistant tuberculosis (MDRTB) on an individual and national level
Year: 2006
Results of retrospective-prospective comparison study of different immunologic tests in diagnosis of tuberculosis infection
Source: International Congress 2018 – Tuberculosis transmission and screening strategies
Year: 2018
The value of immunological methods in the complex diagnostics of TB in chronic renal failure patients in the terminal stage
Source: International Congress 2019 – Tuberculosis: diagnosis
Year: 2019
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking "Accept", you consent to the use of the cookies.
Accept