ROC analysis for the detection of M.tb culture-positive individuals.

Host markers detected in Rv2389c stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for analytes that discriminated between TB and no-TB disease with AUC ≥0.70,...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group) after long-term stimulation by PPD (A) and ESAT-6/CFP-10 (B).

Qin Sun (1832275)
Wei Wei (21173)
Wei Sha (322664)

December 2016

Horizontal lines indicate the median IL-2/IFN-γ ratio. The ROC analysis use subjects with active ...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group).

Sen Wang (135167)
Ni Diao (207358)
Chanyi Lu (207349)
Jing Wu (54032)
Yan Gao (93649)
Jiazhen Chen (207371)
Zumo Zhou (293879)
Heqing Huang (293880)
Lingyun Shao (207377)
Jialin Jin (293881)
Xinhua Weng (207383)
Ying Zhang (40767)
Wenhong Zhang (207387)

February 2013

A. IL-2/IFN-γ ratio in response to TB antigens was significantly higher in LTBI group than in the...

ROC analysis for the detection of smear-positive (A) versus smear negative (B) M.tb culture-positive individuals for indication thresholds (per-patient analysis; all samples).

Klaus Reither (259897)
Levan Jugheli (476405)
Tracy R. Glass (134725)
Mohamed Sasamalo (801223)
Francis A. Mhimbira (804351)
Bart J. Weetjens (804352)
Christophe Cox (804353)
Timothy L. Edwards (804354)
Christiaan Mulder (299041)
Negussie W. Beyene (804355)
Amanda Mahoney (804356)

October 2015

(A: Standard error 0.03, 95 CI% 0.71–0.84; B: Standard error 0.06, 95 CI% 0.45–0.67).</p

ROC curves showing the accuracy of host markers in discriminating between PB and TB patients.

Xiaohua Chen (257762)
Yuan-Gang You (5782388)
You-Hua Yuan (5782391)
Lian C. Yuan (6630992)
Yan Wen (416285)

April 2019

ROC curves for the accuracy of single markers [IL-4 (A), IL-6 (B), CCL4 (C), CXCL8 (D), G-CSF (E), a...

Receiver operating characteristic (ROC) curve analysis for discriminating TB cases from controls.

Mark W. Tenforde (696350)
Nikhil Gupte (189999)
David W. Dowdy (346488)
David M. Asmuth (696351)
Ashwin Balagopal (19837)
Richard B. Pollard (310136)
Patcharaphan Sugandhavesa (584460)
Javier R. Lama (116213)
Sandy Pillay (696352)
Sandra W. Cardoso (546770)
Jyoti Pawar (696353)
Breno Santos (504115)
Cynthia Riviere (143755)
Noluthando Mwelase (696354)
Cecilia Kanyama (504116)
Johnstone Kumwenda (143748)
James G. Hakim (583384)
Nagalingeswaran Kumarasamy (36007)
Robert Bollinger (375260)
Richard D. Semba (350363)
Thomas B. Campbell (143725)
Amita Gupta (21762)

February 2015

* Baseline model includes age (continuous), gender, study site, prior history of TB, BMI group (>...

Statistical analysis of ROC curve for Mtb-specific TNF-α to distinguish between active TB and LTBI.

Feng Wang (44414)
Hongyan Hou (482201)
Lingqing Xu (482202)
Munanie Jane (482203)
Jing Peng (102796)
Yanjun Lu (482204)
Yaowu Zhu (172030)
Ziyong Sun (482205)

November 2013

Note. TB: tuberculosis; LTBI: latent tuberculosis infection; AUC: area under the curve.</p

ROC curves were constructed to compare ELISPOT results when the cells were stimulated with rMtb-HBHA (A), PPD (B), and peptide mixtures of ESAT-6 and CFP-10 (C–D).

Laura Savolainen (376561)
Liana Pusa (376562)
Hwa-Jung Kim (193413)
Heidi Sillanpää (376563)
Ilkka Seppälä (186359)
Tamara Tuuminen (155558)

February 2013

The curves were established for infected (Active and Inactive TB) and the healthy control group. ...

C1q is a useful marker to distinguish active TB patients from HC and LTBI.

Yi Cai (233861)
Qianting Yang (159029)
Yueqiang Tang (539259)
Mingxia Zhang (191591)
Haiying Liu (135547)
Guoliang Zhang (151556)
Qunyi Deng (539260)
Jian Huang (7250)
Zhiliang Gao (298188)
Boping Zhou (122162)
Carl G. Feng (539261)
Xinchun Chen (135545)

March 2014

ROC analysis of the power of C1qA, C1q B, and C1qC mRNA to distinguish A) active TB from HC, and ...

ROC curve analysis for TB antigens specific IP-10.

Basirudeen Syed Ahamed Kabeer (310288)
Balambal Raman (310283)
Aleyamma Thomas (367342)
Venkatesan Perumal (110154)
Alamelu Raja (310281)

February 2013

The cut-off value for TB antigens specific IP-10 levels was determined by using QFT-IT and TST ne...

Host markers detected in Rv0081-stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for the most potentially useful analytes are shown. The unstimulated control...

Host markers detected in Rv2032-stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for analytes that discriminated between TB and no-TB disease with AUC ≥0.70 ...

The mean quantity of IFN-γ produced in response to the M.tb-specific antigens used in IGRA.

Marcin Wlodarczyk (629661)
Wieslawa Rudnicka (629662)
Beata Janiszewska-Drobinska (629663)
Grzegorz Kielnierowski (629664)
Magdalena Kowalewicz-Kulbat (629665)
Marek Fol (261496)
Magdalena Druszczynska (629666)

September 2014

A.B. The cut-off value for a positive response was set at 0.163 IU/ml by receiver operator charac...

Receiver operating characteristic (ROC) curves for the ML-CD64 index and the Monocyte-CD64 index.

Marco Pio La Manna (3754279)
Valentina Orlando (297589)
Francesco Dieli (70261)
Paola Di Carlo (372759)
Antonio Cascio (378202)
Gilda Cuzzi (339784)
Fabrizio Palmieri (2830802)
Delia Goletti (78635)
Nadia Caccamo (297600)

February 2017

A) The solid line shows the result for the ML-CD64 index value comparing patients with active TB ...

Median levels of analytes (pg/ml) and ranges (in parenthesis), and accuracies in discriminating between active TB disease and LTBI in all QFT-IT positive participants.

Novel N. Chegou (160288)
Anne K. Detjen (412733)
Lani Thiart (412734)
Elisabetta Walters (412735)
Anna M. Mandalakas (412736)
Anneke C. Hesseling (412737)
Gerhard Walzl (149313)

May 2013

Participants were not stratified according to HIV status prior to analysis. Only analytes that sh...

Host markers detected in Rv2389c stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for analytes that discriminated between TB and no-TB disease with AUC ≥0.70,...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group) after long-term stimulation by PPD (A) and ESAT-6/CFP-10 (B).

Qin Sun (1832275)
Wei Wei (21173)
Wei Sha (322664)

December 2016

Horizontal lines indicate the median IL-2/IFN-γ ratio. The ROC analysis use subjects with active ...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group).

Sen Wang (135167)
Ni Diao (207358)
Chanyi Lu (207349)
Jing Wu (54032)
Yan Gao (93649)
Jiazhen Chen (207371)
Zumo Zhou (293879)
Heqing Huang (293880)
Lingyun Shao (207377)
Jialin Jin (293881)
Xinhua Weng (207383)
Ying Zhang (40767)
Wenhong Zhang (207387)

February 2013

A. IL-2/IFN-γ ratio in response to TB antigens was significantly higher in LTBI group than in the...

ROC analysis for the detection of smear-positive (A) versus smear negative (B) M.tb culture-positive individuals for indication thresholds (per-patient analysis; all samples).

Klaus Reither (259897)
Levan Jugheli (476405)
Tracy R. Glass (134725)
Mohamed Sasamalo (801223)
Francis A. Mhimbira (804351)
Bart J. Weetjens (804352)
Christophe Cox (804353)
Timothy L. Edwards (804354)
Christiaan Mulder (299041)
Negussie W. Beyene (804355)
Amanda Mahoney (804356)

October 2015

(A: Standard error 0.03, 95 CI% 0.71–0.84; B: Standard error 0.06, 95 CI% 0.45–0.67).</p

ROC curves showing the accuracy of host markers in discriminating between PB and TB patients.

Xiaohua Chen (257762)
Yuan-Gang You (5782388)
You-Hua Yuan (5782391)
Lian C. Yuan (6630992)
Yan Wen (416285)

April 2019

ROC curves for the accuracy of single markers [IL-4 (A), IL-6 (B), CCL4 (C), CXCL8 (D), G-CSF (E), a...

Receiver operating characteristic (ROC) curve analysis for discriminating TB cases from controls.

Mark W. Tenforde (696350)
Nikhil Gupte (189999)
David W. Dowdy (346488)
David M. Asmuth (696351)
Ashwin Balagopal (19837)
Richard B. Pollard (310136)
Patcharaphan Sugandhavesa (584460)
Javier R. Lama (116213)
Sandy Pillay (696352)
Sandra W. Cardoso (546770)
Jyoti Pawar (696353)
Breno Santos (504115)
Cynthia Riviere (143755)
Noluthando Mwelase (696354)
Cecilia Kanyama (504116)
Johnstone Kumwenda (143748)
James G. Hakim (583384)
Nagalingeswaran Kumarasamy (36007)
Robert Bollinger (375260)
Richard D. Semba (350363)
Thomas B. Campbell (143725)
Amita Gupta (21762)

February 2015

* Baseline model includes age (continuous), gender, study site, prior history of TB, BMI group (>...

Statistical analysis of ROC curve for Mtb-specific TNF-α to distinguish between active TB and LTBI.

Feng Wang (44414)
Hongyan Hou (482201)
Lingqing Xu (482202)
Munanie Jane (482203)
Jing Peng (102796)
Yanjun Lu (482204)
Yaowu Zhu (172030)
Ziyong Sun (482205)

November 2013

Note. TB: tuberculosis; LTBI: latent tuberculosis infection; AUC: area under the curve.</p

ROC curves were constructed to compare ELISPOT results when the cells were stimulated with rMtb-HBHA (A), PPD (B), and peptide mixtures of ESAT-6 and CFP-10 (C–D).

Laura Savolainen (376561)
Liana Pusa (376562)
Hwa-Jung Kim (193413)
Heidi Sillanpää (376563)
Ilkka Seppälä (186359)
Tamara Tuuminen (155558)

February 2013

The curves were established for infected (Active and Inactive TB) and the healthy control group. ...

C1q is a useful marker to distinguish active TB patients from HC and LTBI.

Yi Cai (233861)
Qianting Yang (159029)
Yueqiang Tang (539259)
Mingxia Zhang (191591)
Haiying Liu (135547)
Guoliang Zhang (151556)
Qunyi Deng (539260)
Jian Huang (7250)
Zhiliang Gao (298188)
Boping Zhou (122162)
Carl G. Feng (539261)
Xinchun Chen (135545)

March 2014

ROC analysis of the power of C1qA, C1q B, and C1qC mRNA to distinguish A) active TB from HC, and ...

ROC curve analysis for TB antigens specific IP-10.

Basirudeen Syed Ahamed Kabeer (310288)
Balambal Raman (310283)
Aleyamma Thomas (367342)
Venkatesan Perumal (110154)
Alamelu Raja (310281)

February 2013

The cut-off value for TB antigens specific IP-10 levels was determined by using QFT-IT and TST ne...

Host markers detected in Rv0081-stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for the most potentially useful analytes are shown. The unstimulated control...

Host markers detected in Rv2032-stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for analytes that discriminated between TB and no-TB disease with AUC ≥0.70 ...

The mean quantity of IFN-γ produced in response to the M.tb-specific antigens used in IGRA.

Marcin Wlodarczyk (629661)
Wieslawa Rudnicka (629662)
Beata Janiszewska-Drobinska (629663)
Grzegorz Kielnierowski (629664)
Magdalena Kowalewicz-Kulbat (629665)
Marek Fol (261496)
Magdalena Druszczynska (629666)

September 2014

A.B. The cut-off value for a positive response was set at 0.163 IU/ml by receiver operator charac...

Receiver operating characteristic (ROC) curves for the ML-CD64 index and the Monocyte-CD64 index.

Marco Pio La Manna (3754279)
Valentina Orlando (297589)
Francesco Dieli (70261)
Paola Di Carlo (372759)
Antonio Cascio (378202)
Gilda Cuzzi (339784)
Fabrizio Palmieri (2830802)
Delia Goletti (78635)
Nadia Caccamo (297600)

February 2017

A) The solid line shows the result for the ML-CD64 index value comparing patients with active TB ...

Median levels of analytes (pg/ml) and ranges (in parenthesis), and accuracies in discriminating between active TB disease and LTBI in all QFT-IT positive participants.

Novel N. Chegou (160288)
Anne K. Detjen (412733)
Lani Thiart (412734)
Elisabetta Walters (412735)
Anna M. Mandalakas (412736)
Anneke C. Hesseling (412737)
Gerhard Walzl (149313)

May 2013

Participants were not stratified according to HIV status prior to analysis. Only analytes that sh...

Host markers detected in Rv2389c stimulated whole blood cell cultures of TB and no-TB cases and receiver operating characteristics (ROC) plots showing the accuracies of these markers in discriminating between TB disease and no-TB.

Novel N. Chegou (160288)
Paulin N. Essone (160291)
Andre G. Loxton (160294)
Kim Stanley (160296)
Gillian F. Black (149301)
Gian D. van der Spuy (160298)
Paul D. van Helden (33594)
Kees L. Franken (160300)
Shreemanta K. Parida (149299)
Michel R. Klein (160302)
Stefan H. E. Kaufmann (149315)
Tom H. M. Ottenhoff (160303)
Gerhard Walzl (149313)

June 2012

Representative plots for analytes that discriminated between TB and no-TB disease with AUC ≥0.70,...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group) after long-term stimulation by PPD (A) and ESAT-6/CFP-10 (B).

Qin Sun (1832275)
Wei Wei (21173)
Wei Sha (322664)

December 2016

Horizontal lines indicate the median IL-2/IFN-γ ratio. The ROC analysis use subjects with active ...

IL-2/IFN-γ ratio in subjects with active TB (ATB group) and in subjects with latent TB infection (LTBI group).

Sen Wang (135167)
Ni Diao (207358)
Chanyi Lu (207349)
Jing Wu (54032)
Yan Gao (93649)
Jiazhen Chen (207371)
Zumo Zhou (293879)
Heqing Huang (293880)
Lingyun Shao (207377)
Jialin Jin (293881)
Xinhua Weng (207383)
Ying Zhang (40767)
Wenhong Zhang (207387)

February 2013

A. IL-2/IFN-γ ratio in response to TB antigens was significantly higher in LTBI group than in the...

ROC analysis for the detection of M.tb culture-positive individuals.

Abstract

Extracted data

ROC analysis for the detection of M.tb culture-positive individuals.

Abstract

Extracted data

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