المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/Comparison_of_XPRES_and_external_validation_datasets_/16581182

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s010

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/Hosmer_Lemeshow_test_for_calibration_of_final_TB_prediction_model_/16581191

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s013

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/Performance_of_the_TB_prediction_clinical_score_in_derivation_and_validation_datasets_/16581194

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s014

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/A_15-variable_multivariable_model_in_derivation_dataset_i_N_i_2_771_/16581185

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s011

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/Importance_of_predictors_in_logistic_regression_versus_random_forest_modeling_approaches_/16581188

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s012

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/S7_Table_Sensitivity_analyses_comparing_discrimination_between_our_final_risk_score_and_risk_scores_that_a_were_derived_from_fully_standardized_bet_coefficients_b_excluded_BMI_c_excluded_hemoglobin_and_d_excluded_sex_and_smoking_variables_B/16581197

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s015

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/XPRES_trial_protocol_/16581203

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s017

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/TRIPOD_checklist_Prediction_model_development_and_validation_/16581206

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s018

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/journal_contribution/XPRES_enrollment_and_follow-up_procedures_/16581200

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s016

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Comparison_of_AUROC_curves_by_modeling_approach_logistic_regression_versus_random_forest_covariate_number_15_versus_6_variables_and_in_derivation_versus_validation_datasets_/16581161

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s003

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Sensitivity_specificity_NPV_and_PPV_of_TB_clinical_score_versus_WHO_4-symptom_TB_screening_rule_among_ART-experienced_clinic_attendees_XPHACTOR_i_n_i_1612_/16581170

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s006

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Sensitivity_specificity_NPV_and_PPV_of_clinical_score_versus_WHO_4-symptom_screening_rule_among_those_who_died_within_6_months_of_clinic_enrollment_/16581173

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s007

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Distribution_of_clinical_risk_scores_and_associated_sensitivity_specificity_NPV_and_PPV_for_TB_across_4_study_cohorts_/16581167

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s005

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Clinical_score_discrimination_according_to_AUROC_curve_by_study_cohort_/16581176

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.s008

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Clinical_score_for_predicting_TB_among_PLHIV_/16581215

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.g003

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Logistic_regression_model_AUROC_curves_and_calibration_curves_for_the_internal_derivation_and_validation_datasets_respectively_/16581212

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.g002

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/Study_profiles_for_the_derivation_and_validation_datasets_/16581209

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.g001

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/TB_risk_stratification_into_low-_moderate-_and_high-risk_groups_by_study_cohort_/16581218

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.g004

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/figure/NNS_to_detect_one_case_of_active_TB_by_clinical_score_cutoff_and_by_study_cohort_/16581221

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.g005

المؤلفون: Andrew F. Auld (8967719), Andrew D. Kerkhoff (8790428), Yasmeen Hanifa (430893), Robin Wood (4924), Salome Charalambous (321319), Yuliang Liu (522424), Tefera Agizew (3470927), Anikie Mathoma (3470921), Rosanna Boyd (3470930), Anand Date (440374), Ray W. Shiraishi (9234298), George Bicego (9615442), Unami Mathebula-Modongo (11402315), Heather Alexander (3214719), Christopher Serumola (8433648), Goabaone Rankgoane-Pono (4815759), Pontsho Pono (8433651), Alyssa Finlay (3470933), James C. Shepherd (9615448), Tedd V. Ellerbrock (9615451), Alison D. Grant (8120459), Katherine Fielding (168885)

مصطلحات موضوعية: Medicine, Biotechnology, Cancer, Science Policy, Infectious Diseases, Virology, Computational Biology, world health organization, support case finding, screening tools capable, reducing inappropriate prescription, proposed global scale, could facilitate reductions, tb fast track, subclinical active tb, lowest risk group, highest risk group, categorizing risk scores, negative predictive value, preventive therapy scale, tuberculosis preventive therapy, experienced plhiv enrolled, art )- naive, 5 ° c, 418 xpres enrollees, undiagnosed prevalent tb, ≥ 2 replaced, 3 points ), 2 points ), accuracy validated internally

Time: 1

Relation: https://figshare.com/articles/dataset/Comparison_of_derivation_and_validation_datasets_internal_and_external_sup_b_sup_/16581224

الاتاحة: https://doi.org/10.1371/journal.pmed.1003739.t001