Two Clinical Prediction Tools to Improve Tuberculosis Contact Investigation

Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study

(2019) Mercedes C Becerra et al.   BMJ-British Medical Journal

Four-Gene Pan-African Blood Signature Predicts Progression to Tuberculosis

(2018) Sara Suliman et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Identifying barriers to and facilitators of tuberculosis contact investigation in Kampala, Uganda: a behavioral approach

(2017) Irene Ayakaka et al.   Implementation Science

A systematic review of prediction models for prevalent pulmonary tuberculosis in adults

(2017) S. S. Van Wyk et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

A systematic review of national policies for the management of persons exposed to tuberculosis

(2017) C. A. Rodriguez et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

A score to predict and stratify risk of tuberculosis in adult contacts of tuberculosis index cases: a prospective derivation and external validation cohort study

(2017) Matthew J Saunders et al.   LANCET INFECTIOUS DISEASES

Drop-out from the tuberculosis contact investigation cascade in a routine public health setting in urban Uganda: A prospective, multi-center study

(2017) Mari Armstrong-Hough et al.   PLoS One

Predicting tuberculosis risk

(2016) Sandra V Kik et al.   LANCET

A blood RNA signature for tuberculosis disease risk: a prospective cohort study

(2016) Daniel E Zak et al.   LANCET

The cascade of care in diagnosis and treatment of latent tuberculosis infection: a systematic review and meta-analysis

(2016) Hannah Alsdurf et al.   LANCET INFECTIOUS DISEASES

Barriers to adherence with tuberculosis contact investigation in six provinces of Vietnam: a nested case–control study

(2015) Gregory James Fox et al.   BMC INFECTIOUS DISEASES

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Choosing algorithms for TB screening: a modelling study to compare yield, predictive value and diagnostic burden

(2014) Anna H van’t Hoog et al.   BMC INFECTIOUS DISEASES

Systematic Review With Meta-Analyses and Critical Appraisal of Clinical Prediction Rules for Pulmonary Tuberculosis in Hospitals

(2014) Berenice das Dores Gonçalves et al.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY

Derivation of a tuberculosis screening rule for sub-Saharan African prisons

(2014) J. B. Harris et al.   INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE

Management of children exposed toMycobacterium tuberculosis: a public health evaluation in West Java, Indonesia

(2013) Merrin E Rutherford et al.   BULLETIN OF THE WORLD HEALTH ORGANIZATION

Predictive value of interferon-γ release assays for incident active tuberculosis: a systematic review and meta-analysis

(2011) Molebogeng X Rangaka et al.   LANCET INFECTIOUS DISEASES

Development of a Standardized Screening Rule for Tuberculosis in People Living with HIV in Resource-Constrained Settings: Individual Participant Data Meta-analysis of Observational Studies

(2011) Haileyesus Getahun et al.   PLOS MEDICINE

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

(2010) Michael J. Pencina et al.   STATISTICS IN MEDICINE

Time delays in diagnosis of pulmonary tuberculosis: a systematic review of literature

(2009) Chandrashekhar T Sreeramareddy et al.   BMC INFECTIOUS DISEASES

Using relative utility curves to evaluate risk prediction

(2009) Stuart G. Baker et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY