Diagnostic Accuracy of the SSCLIP Scoring System in the Training Cohort at Cut-off Points and at Different Time Periods.

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 subjects with Ss larvae in stool; denominator for specificity: 115 subjects with no Ss larvae in stool and no exposure).

Zeno Bisoffi (101971)
Dora Buonfrate (101978)
Marco Sequi (474173)
Rojelio Mejia (508110)
Ruben O. Cimino (508111)
Alejandro J. Krolewiecki (105475)
Marco Albonico (159933)
Maria Gobbo (212271)
Stefania Bonafini (508112)
Andrea Angheben (212259)
Ana Requena-Mendez (3278670)
José Muñoz (91279)
Thomas B. Nutman (113195)

January 2014

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 s...

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of different tests for the diagnosis of S.mansoni.

Louis-Albert Tchuem Tchuenté (217495)
Césaire Joris Kueté Fouodo (313160)
Romuald Isaka Kamwa Ngassam (313161)
Laurentine Sumo (226292)
Calvine Dongmo Noumedem (313162)
Christian Mérimé Kenfack (313164)
Nestor Feussom Gipwe (313166)
Esther Dankoni Nana (313168)
J. Russell Stothard (125710)
David Rollinson (103447)

February 2013

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of ...

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for each stimulus set and HVPT training in fixed or adaptive adverse conditions (with standard error in parentheses).

Christine Xiang Ru Leong (5832425)
Jessica M. Price (5832428)
Nicola J. Pitchford (460106)
Walter J. B. van Heuven (400667)

October 2018

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for ea...

Threshold plots presenting diagnostic accuracy metrics across varying model probability cut-points for test cohorts.

Gordon Ward Fuller (11170878)
Madina Hasan (16351656)
Peter Hodkinson (843589)
David McAlpine (451835)
Steve Goodacre (11696)
Peter A. Bath (16351653)
Laura Sbaffi (7903607)
Yasein Omer (16351659)
Lee Wallis (843591)
Carl Marincowitz (9690056)

September 2023

Sensitivity (recall); NPV: Negative predictive value; PPV: positive predictive value (precision).</p

Survival distributions of different risk levels of the SSCLIP scoring system in the training cohort (panel A) and validation cohort (panel B).

Sha Huang (459101)
Gui-Qian Huang (752018)
Gui-Qi Zhu (752019)
Wen-Yue Liu (138454)
Jie You (42305)
Ke-Qing Shi (138450)
Xiao-Bo Wang (3228759)
Han-Yang Che (752020)
Guo-Liang Chen (652632)
Jian-Feng Fang (752021)
Yi Zhou (2723)
Meng-Tao Zhou (5663959)
Yong-Ping Chen (138457)
Martin Braddock (752022)
Ming-Hua Zheng (138448)

June 2015

Low-risk, intermediate-risk and high-risk represent the SSCLIP score 0~2, 3~5 and ≥ 6 respectivel...

Diagnostic accuracy of Ch-AUDIT and AUDIT-C across different cut off scores for screening of risky drinking behavior among male patients in primary care setting.

Benjamin H. K. Yip (237111)
Roger Y. Chung (464542)
Vincent C. H. Chung (115743)
Jean Kim (700539)
Iris W. T. Chan (700540)
Martin C. S. Wong (288769)
Samuel Y. S. Wong (305077)
Sian M. Griffiths (115751)

March 2015

Key: PPV = Positive predictive values, NPV = Negative predictive values.Diagnostic accurac...

Performance of the markers on the screening cohort.

Natalia Tiberti (150718)
Veerle Lejon (116133)
Alexandre Hainard (134689)
Bertrand Courtioux (150722)
Xavier Robin (134679)
Natacha Turck (134675)
Krister Kristensson (150728)
Enock Matovu (150725)
John Charles Enyaru (40505)
Dieudonné Mumba Ngoyi (150729)
Sanjeev Krishna (4917)
Sylvie Bisser (150733)
Joseph Mathu Ndung′u (384413)
Philippe Büscher (150731)
Jean-Charles Sanchez (22584)

February 2013

Number of patients: 39 S2 relapsed vs. 39 S2 cured.SP%: specificity %; SE%: sensitivity%; ...

Results obtained for the eight markers assessed on the training cohort.

Natalia Tiberti (150718)
Alexandre Hainard (134689)
Veerle Lejon (116133)
Bertrand Courtioux (150722)
Enock Matovu (150725)
John Charles Enyaru (40505)
Xavier Robin (134679)
Natacha Turck (134675)
Krister Kristensson (150728)
Dieudonné Mumba Ngoyi (150729)
Gedeão M. L. Vatunga (150730)
Sanjeev Krishna (4917)
Philippe Büscher (150731)
Sylvie Bisser (150733)
Joseph Mathu Ndung’u (150735)
Jean-Charles Sanchez (22584)

July 2012

Training cohort (n = 100): Stage 1 n = 44; Stage 2 n = 56. Early-late stage patients were not inc...

Summary estimates of diagnostic criteria and their 95% confidence intervals (95% CI).

Ran Wang (169166)
Hong Wen (662801)
Yongcheng Xu (662802)
Qiulan Chen (662803)
Yi Luo (143206)
Yiqin Lin (662804)
Yu Luo (277978)
Angao Xu (662805)

November 2014

CI, confidence interval; SEN, sensitivity; SPE, specificity; PLR, positive likelihood ratio; NLR,...

Accuracy, Sensitivity, Specificity, and Precision measures for all intervals before SCD.

Elias Ebrahimzadeh (519550)
Mohammad Pooyan (331258)
Ahmad Bijar (422520)

February 2014

Accuracy, Sensitivity, Specificity, and Precision measures for all intervals before SCD.</p

Prognostic accuracy of the composite measures (including prespecified cut-off values) as the predictors of the EVENT during the follow-up.

Ludmiła Daniłowicz-Szymanowicz (2576596)
Damian Kaufmann (5171645)
Katarzyna Rozwadowska (2576590)
Maciej Kempa (840185)
Ewa Lewicka (823447)
Grzegorz Raczak (796231)

May 2018

Prognostic accuracy of the composite measures (including prespecified cut-off values) as the pred...

Studyflow and Results.

Oguz Kilickaya (631424)
Christopher Schmickl (631425)
Adil Ahmed (631426)
Juan Pulido (631427)
James Onigkeit (631428)
Kianoush Kashani (631429)
Ognjen Gajic (81574)
Vitaly Herasevich (331312)
Brian Pickering (631430)

September 2014

Sensitivity, Specificity, Positive and Negative Predictive Values (PPV, NPV) are given as estimat...

Sensitivity (SE), specificity (SP), positive predicted values (PPV) and negative predicted values (NPV) with 95%(CI) for 1–2 vs. ≥ 3 PIRADS score.

Ottavio de Cobelli (5665447)
Daniela Terracciano (401114)
Elena Tagliabue (804338)
Sara Raimondi (804339)
Danilo Bottero (804340)
Antonio Cioffi (804341)
Barbara Jereczek-Fossa (804342)
Giuseppe Petralia (804343)
Giovanni Cordima (804344)
Gilberto Laurino Almeida (804345)
Giuseppe Lucarelli (804346)
Carlo Buonerba (430770)
Deliu Victor Matei (804347)
Giuseppe Renne (804348)
Giuseppe Di Lorenzo (430771)
Matteo Ferro (430764)

October 2015

*PercentageSensitivity (SE), specificity (SP), positive predicted values (PPV) and negativ...

Questioning the “SPIN and SNOUT” rule in clinical testing

Jean-Pierre Baeyens
Ben Serrien
Maggie Goossens
Ron Clijsen

March 2019

Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive...

Learning curve of sensitivity, specificity, positive and negative predictive value and accuracy of investigator I and II.

Patrick Czorlich (673406)
Till Burkhardt (673407)
Volker Knospe (673408)
Gisbert Richard (71493)
Eik Vettorazzi (285300)
Lars Wagenfeld (71491)
Manfred Westphal (124863)
Jan Regelsberger (673409)
Christos Skevas (673410)

December 2014

Pts. = patients.Learning curve of sensitivity, specificity, positive and negative predic...

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 subjects with Ss larvae in stool; denominator for specificity: 115 subjects with no Ss larvae in stool and no exposure).

Zeno Bisoffi (101971)
Dora Buonfrate (101978)
Marco Sequi (474173)
Rojelio Mejia (508110)
Ruben O. Cimino (508111)
Alejandro J. Krolewiecki (105475)
Marco Albonico (159933)
Maria Gobbo (212271)
Stefania Bonafini (508112)
Andrea Angheben (212259)
Ana Requena-Mendez (3278670)
José Muñoz (91279)
Thomas B. Nutman (113195)

January 2014

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 s...

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of different tests for the diagnosis of S.mansoni.

Louis-Albert Tchuem Tchuenté (217495)
Césaire Joris Kueté Fouodo (313160)
Romuald Isaka Kamwa Ngassam (313161)
Laurentine Sumo (226292)
Calvine Dongmo Noumedem (313162)
Christian Mérimé Kenfack (313164)
Nestor Feussom Gipwe (313166)
Esther Dankoni Nana (313168)
J. Russell Stothard (125710)
David Rollinson (103447)

February 2013

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of ...

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for each stimulus set and HVPT training in fixed or adaptive adverse conditions (with standard error in parentheses).

Christine Xiang Ru Leong (5832425)
Jessica M. Price (5832428)
Nicola J. Pitchford (460106)
Walter J. B. van Heuven (400667)

October 2018

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for ea...

Threshold plots presenting diagnostic accuracy metrics across varying model probability cut-points for test cohorts.

Gordon Ward Fuller (11170878)
Madina Hasan (16351656)
Peter Hodkinson (843589)
David McAlpine (451835)
Steve Goodacre (11696)
Peter A. Bath (16351653)
Laura Sbaffi (7903607)
Yasein Omer (16351659)
Lee Wallis (843591)
Carl Marincowitz (9690056)

September 2023

Sensitivity (recall); NPV: Negative predictive value; PPV: positive predictive value (precision).</p

Survival distributions of different risk levels of the SSCLIP scoring system in the training cohort (panel A) and validation cohort (panel B).

Sha Huang (459101)
Gui-Qian Huang (752018)
Gui-Qi Zhu (752019)
Wen-Yue Liu (138454)
Jie You (42305)
Ke-Qing Shi (138450)
Xiao-Bo Wang (3228759)
Han-Yang Che (752020)
Guo-Liang Chen (652632)
Jian-Feng Fang (752021)
Yi Zhou (2723)
Meng-Tao Zhou (5663959)
Yong-Ping Chen (138457)
Martin Braddock (752022)
Ming-Hua Zheng (138448)

June 2015

Low-risk, intermediate-risk and high-risk represent the SSCLIP score 0~2, 3~5 and ≥ 6 respectivel...

Diagnostic accuracy of Ch-AUDIT and AUDIT-C across different cut off scores for screening of risky drinking behavior among male patients in primary care setting.

Benjamin H. K. Yip (237111)
Roger Y. Chung (464542)
Vincent C. H. Chung (115743)
Jean Kim (700539)
Iris W. T. Chan (700540)
Martin C. S. Wong (288769)
Samuel Y. S. Wong (305077)
Sian M. Griffiths (115751)

March 2015

Key: PPV = Positive predictive values, NPV = Negative predictive values.Diagnostic accurac...

Performance of the markers on the screening cohort.

Natalia Tiberti (150718)
Veerle Lejon (116133)
Alexandre Hainard (134689)
Bertrand Courtioux (150722)
Xavier Robin (134679)
Natacha Turck (134675)
Krister Kristensson (150728)
Enock Matovu (150725)
John Charles Enyaru (40505)
Dieudonné Mumba Ngoyi (150729)
Sanjeev Krishna (4917)
Sylvie Bisser (150733)
Joseph Mathu Ndung′u (384413)
Philippe Büscher (150731)
Jean-Charles Sanchez (22584)

February 2013

Number of patients: 39 S2 relapsed vs. 39 S2 cured.SP%: specificity %; SE%: sensitivity%; ...

Results obtained for the eight markers assessed on the training cohort.

Natalia Tiberti (150718)
Alexandre Hainard (134689)
Veerle Lejon (116133)
Bertrand Courtioux (150722)
Enock Matovu (150725)
John Charles Enyaru (40505)
Xavier Robin (134679)
Natacha Turck (134675)
Krister Kristensson (150728)
Dieudonné Mumba Ngoyi (150729)
Gedeão M. L. Vatunga (150730)
Sanjeev Krishna (4917)
Philippe Büscher (150731)
Sylvie Bisser (150733)
Joseph Mathu Ndung’u (150735)
Jean-Charles Sanchez (22584)

July 2012

Training cohort (n = 100): Stage 1 n = 44; Stage 2 n = 56. Early-late stage patients were not inc...

Summary estimates of diagnostic criteria and their 95% confidence intervals (95% CI).

Ran Wang (169166)
Hong Wen (662801)
Yongcheng Xu (662802)
Qiulan Chen (662803)
Yi Luo (143206)
Yiqin Lin (662804)
Yu Luo (277978)
Angao Xu (662805)

November 2014

CI, confidence interval; SEN, sensitivity; SPE, specificity; PLR, positive likelihood ratio; NLR,...

Accuracy, Sensitivity, Specificity, and Precision measures for all intervals before SCD.

Elias Ebrahimzadeh (519550)
Mohammad Pooyan (331258)
Ahmad Bijar (422520)

February 2014

Accuracy, Sensitivity, Specificity, and Precision measures for all intervals before SCD.</p

Prognostic accuracy of the composite measures (including prespecified cut-off values) as the predictors of the EVENT during the follow-up.

Ludmiła Daniłowicz-Szymanowicz (2576596)
Damian Kaufmann (5171645)
Katarzyna Rozwadowska (2576590)
Maciej Kempa (840185)
Ewa Lewicka (823447)
Grzegorz Raczak (796231)

May 2018

Prognostic accuracy of the composite measures (including prespecified cut-off values) as the pred...

Studyflow and Results.

Oguz Kilickaya (631424)
Christopher Schmickl (631425)
Adil Ahmed (631426)
Juan Pulido (631427)
James Onigkeit (631428)
Kianoush Kashani (631429)
Ognjen Gajic (81574)
Vitaly Herasevich (331312)
Brian Pickering (631430)

September 2014

Sensitivity, Specificity, Positive and Negative Predictive Values (PPV, NPV) are given as estimat...

Sensitivity (SE), specificity (SP), positive predicted values (PPV) and negative predicted values (NPV) with 95%(CI) for 1–2 vs. ≥ 3 PIRADS score.

Ottavio de Cobelli (5665447)
Daniela Terracciano (401114)
Elena Tagliabue (804338)
Sara Raimondi (804339)
Danilo Bottero (804340)
Antonio Cioffi (804341)
Barbara Jereczek-Fossa (804342)
Giuseppe Petralia (804343)
Giovanni Cordima (804344)
Gilberto Laurino Almeida (804345)
Giuseppe Lucarelli (804346)
Carlo Buonerba (430770)
Deliu Victor Matei (804347)
Giuseppe Renne (804348)
Giuseppe Di Lorenzo (430771)
Matteo Ferro (430764)

October 2015

*PercentageSensitivity (SE), specificity (SP), positive predicted values (PPV) and negativ...

Questioning the “SPIN and SNOUT” rule in clinical testing

Jean-Pierre Baeyens
Ben Serrien
Maggie Goossens
Ron Clijsen

March 2019

Abstract Specificity (SP) and sensitivity (SE) answer the question ‘what is the chance of a positive...

Learning curve of sensitivity, specificity, positive and negative predictive value and accuracy of investigator I and II.

Patrick Czorlich (673406)
Till Burkhardt (673407)
Volker Knospe (673408)
Gisbert Richard (71493)
Eik Vettorazzi (285300)
Lars Wagenfeld (71491)
Manfred Westphal (124863)
Jan Regelsberger (673409)
Christos Skevas (673410)

December 2014

Pts. = patients.Learning curve of sensitivity, specificity, positive and negative predic...

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 subjects with Ss larvae in stool; denominator for specificity: 115 subjects with no Ss larvae in stool and no exposure).

Zeno Bisoffi (101971)
Dora Buonfrate (101978)
Marco Sequi (474173)
Rojelio Mejia (508110)
Ruben O. Cimino (508111)
Alejandro J. Krolewiecki (105475)
Marco Albonico (159933)
Maria Gobbo (212271)
Stefania Bonafini (508112)
Andrea Angheben (212259)
Ana Requena-Mendez (3278670)
José Muñoz (91279)
Thomas B. Nutman (113195)

January 2014

Test accuracy on samples from subjects with certain diagnosis (denominator for sensitivity: 114 s...

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of different tests for the diagnosis of S.mansoni.

Louis-Albert Tchuem Tchuenté (217495)
Césaire Joris Kueté Fouodo (313160)
Romuald Isaka Kamwa Ngassam (313161)
Laurentine Sumo (226292)
Calvine Dongmo Noumedem (313162)
Christian Mérimé Kenfack (313164)
Nestor Feussom Gipwe (313166)
Esther Dankoni Nana (313168)
J. Russell Stothard (125710)
David Rollinson (103447)

February 2013

Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of ...

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for each stimulus set and HVPT training in fixed or adaptive adverse conditions (with standard error in parentheses).

Christine Xiang Ru Leong (5832425)
Jessica M. Price (5832428)
Nicola J. Pitchford (460106)
Walter J. B. van Heuven (400667)

October 2018

Mean percentage of correct identification percentage in pre-, post- and six months post-tests for ea...

Diagnostic Accuracy of the SSCLIP Scoring System in the Training Cohort at Cut-off Points and at Different Time Periods.

Abstract

Extracted data

Diagnostic Accuracy of the SSCLIP Scoring System in the Training Cohort at Cut-off Points and at Different Time Periods.

Abstract

Extracted data

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