Number of patients tested throughout mixed models and correlation with eGFR decline at different time-points.

Association of eGFR decline with outcomes during study period by different disease etiologies.

Shuo-Chun Weng (546159)
Der-Cherng Tarng (114877)
Chyong-Mei Chen (546160)
Chi-Hung Cheng (546161)
Ming-Ju Wu (454092)
Cheng-Hsu Chen (546162)
Tung-Min Yu (546163)
Kuo-Hsiung Shu (454091)

April 2014

Model 1 is crude. Model 2 is adjusted for age, gender, eGFR decline, proteinuria, ACEI/ARB, and a...

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.

Makoto Yamaguchi (588823)
Masahiko Ando (579876)
Ryohei Yamamoto (515933)
Shinichi Akiyama (588824)
Sawako Kato (588825)
Takayuki Katsuno (588826)
Tomoki Kosugi (588827)
Waichi Sato (588828)
Naotake Tsuboi (588829)
Yoshinari Yasuda (588830)
Masashi Mizuno (405214)
Yasuhiko Ito (588831)
Seiichi Matsuo (588832)
Shoichi Maruyama (363455)

June 2014

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.</p

Forest plot for rate of change in eGFR.

Bingjuan Yan (4568071)
Xiaole Su (4241998)
Boyang Xu (4568074)
Xi Qiao (4242001)
Lihua Wang (14548)

November 2018

Positive values in difference of change represent slower decline for eGFR in treatment group than in...

Univariate and multivariate predictors of event (eGFR decline > 5%) in the study population (144 patients).

Lucia Taramasso (344095)
Antonio Di Biagio (316138)
Francesca Bovis (403189)
Laura Ambra Nicolini (4033739)
Andrea Antinori (103654)
Laura Milazzo (231268)
Salvatore Sollima (4866919)
Guido Gubertini (4866904)
Fosca Niero (4481269)
Annalisa Saracino (4262161)
Raffaele Bruno (162723)
Vanni Borghi (295134)
Francesca Montagnani (459741)
Annamaria Cattelan (4866913)
Hamid Hasson (4287985)
Gloria Taliani (440231)
Antonella D’Arminio Monforte (131628)
Claudio Mastroianni (733490)
Giovanni Di Perri (237806)
Sara Bigoni (4866922)
Massimo Puoti (182231)
Angiola Spinetti (4866916)
Andrea Gori (62770)
Nicola Boffa (4866907)
Bruno Cacopardo (4866910)
Andrea Giacometti (2428135)
Giustino Parruti (275883)
Vincenzo Vullo (338008)
Antonio Chirianni (4866925)
Elisabetta Teti (4033727)
Caterina Pasquazzi (4033742)
Daniela Segala (4866901)
Massimo Andreoni (103649)

February 2018

Univariate and multivariate predictors of event (eGFR decline > 5%) in the study population (144 ...

Number of patients with different follow up periods in derivation and validation cohort.

Jing Sun (141206)
Kun Sun (117828)
Sun Chen (451920)
Liping Yao (670641)
Yuqi Zhang (286958)

December 2014

Number of patients with different follow up periods in derivation and validation cohort.</p

EGFR mutation testing rates by year in 12,148 patients who underwent EGFR testing.

Yulin Li (36434)
Anita Appius (6175751)
Thirupathi Pattipaka (6175754)
Andrea Feyereislova (6175757)
Adrian Cassidy (6175760)
Apar Kishor Ganti (6175763)

January 2019

EGFR mutation testing rates by year in 12,148 patients who underwent EGFR testing.</p

Prevalence ratios (95% confidence intervals) for request of EGFR mutation testing by patient characteristics.

Yoon-La Choi (225920)
Jong-Mu Sun (416098)
Juhee Cho (164532)
Sanjay Rampal (132194)
Joungho Han (483091)
Bhash Parasuraman (584127)
Eliseo Guallar (27363)
Genehee Lee (584128)
Jeeyun Lee (145602)
Young Mog Shim (483092)

February 2013

*Multivariate analysis included 1,315 patients, and adjusted for gender, age at diagnosis, smokin...

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of follow-up.

Rosbel M. Brito (6598172)
Duc T. Nguyen (690616)
Justine R. Johnson (6598175)
Eric J. Lai (6598178)
Rochelle E. Castro (6598181)
Angelina M. Albert (6598184)
Ann. S. Barnes (6598187)
Edward A. Graviss (37271)
Wadi N. Suki (6598190)

April 2019

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of foll...

Prevalence ratios (95% confidence intervals) for positive EGFR mutation status among 575 patients with available EGFR mutation data.

Yoon-La Choi (225920)
Jong-Mu Sun (416098)
Juhee Cho (164532)
Sanjay Rampal (132194)
Joungho Han (483091)
Bhash Parasuraman (584127)
Eliseo Guallar (27363)
Genehee Lee (584128)
Jeeyun Lee (145602)
Young Mog Shim (483092)

February 2013

*Multivariate analysis included 528 patients, and adjusted for gender, age at diagnosis, smoking ...

The annual rate of eGFR decline in the study groups stratified by EMP/EPC ratio.

Chien-Yi Hsu (433286)
Po-Hsun Huang (183737)
Chia-Hung Chiang (183734)
Hsin-Bang Leu (174682)
Chin-Chou Huang (183743)
Jaw-Wen Chen (174650)
Shing-Jong Lin (174700)

July 2013

All patients were divided into 4 groups according to EMP/EPC ratio in quartiles: group 1 (Q1), wi...

Change in eGFR values over time among 112 study participants, April 2010 to November 2011.

Melissa S. Nolan (316753)
Amber S. Podoll (316754)
Anne M. Hause (316755)
Katherine M. Akers (316756)
Kevin W. Finkel (316757)
Kristy O. Murray (205263)

February 2013

Change in eGFR values over time among 112 study participants, April 2010 to November 2011.</p

eGFR decline in systemic disease-related nephropathy (Significant codes: *, <0.05 means the eGFR decline is a significant value during this time interval under lineal regression model).

Shuo-Chun Weng (546159)
Der-Cherng Tarng (114877)
Chyong-Mei Chen (546160)
Chi-Hung Cheng (546161)
Ming-Ju Wu (454092)
Cheng-Hsu Chen (546162)
Tung-Min Yu (546163)
Kuo-Hsiung Shu (454091)

April 2014

eGFR decline in systemic disease-related nephropathy (Significant codes: *, <0.05 means the eGFR ...

Evaluation of the correlation between EGFR T790M mutation frequency and clinical treatment response.

Kang-Yi Su (133405)
Jeng-Sen Tseng (628945)
Keng-Mao Liao (5983022)
Tsung-Ying Yang (244469)
Kun-Chieh Chen (244491)
Kuo-Hsuan Hsu (628949)
Pan-Chyr Yang (19231)
Sung-Liang Yu (215636)
Gee-Chen Chang (244418)

November 2018

(A) Variations of EGFR T790M mutation frequency during EGFR-TKI treatment. Plasma samples from pretr...

Relationship between the changes in the eGFR and the clinical parameters at baseline in the full analysis set.

Hiroyuki Ito (339050)
Hideyuki Inoue (156340)
Takuma Izutsu (10305465)
Suzuko Matsumoto (10305462)
Shinichi Antoku (339057)
Tomoko Yamasaki (1898185)
Toshiko Mori (10305468)
Michiko Togane (339061)

September 2023

Relationship between the changes in the eGFR and the clinical parameters at baseline in the full ana...

Frequency of EGFR testing and receipt of erlotinib among non-small cell lung cancer patients diagnosed in 2010 overall and by tumor stage, Patterns of Care.

Lindsey Enewold (2832911)
Anish Thomas (2832914)

June 2016

Frequency of EGFR testing and receipt of erlotinib among non-small cell lung cancer patien...

Association of eGFR decline with outcomes during study period by different disease etiologies.

Shuo-Chun Weng (546159)
Der-Cherng Tarng (114877)
Chyong-Mei Chen (546160)
Chi-Hung Cheng (546161)
Ming-Ju Wu (454092)
Cheng-Hsu Chen (546162)
Tung-Min Yu (546163)
Kuo-Hsiung Shu (454091)

April 2014

Model 1 is crude. Model 2 is adjusted for age, gender, eGFR decline, proteinuria, ACEI/ARB, and a...

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.

Makoto Yamaguchi (588823)
Masahiko Ando (579876)
Ryohei Yamamoto (515933)
Shinichi Akiyama (588824)
Sawako Kato (588825)
Takayuki Katsuno (588826)
Tomoki Kosugi (588827)
Waichi Sato (588828)
Naotake Tsuboi (588829)
Yoshinari Yasuda (588830)
Masashi Mizuno (405214)
Yasuhiko Ito (588831)
Seiichi Matsuo (588832)
Shoichi Maruyama (363455)

June 2014

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.</p

Forest plot for rate of change in eGFR.

Bingjuan Yan (4568071)
Xiaole Su (4241998)
Boyang Xu (4568074)
Xi Qiao (4242001)
Lihua Wang (14548)

November 2018

Positive values in difference of change represent slower decline for eGFR in treatment group than in...

Univariate and multivariate predictors of event (eGFR decline > 5%) in the study population (144 patients).

Lucia Taramasso (344095)
Antonio Di Biagio (316138)
Francesca Bovis (403189)
Laura Ambra Nicolini (4033739)
Andrea Antinori (103654)
Laura Milazzo (231268)
Salvatore Sollima (4866919)
Guido Gubertini (4866904)
Fosca Niero (4481269)
Annalisa Saracino (4262161)
Raffaele Bruno (162723)
Vanni Borghi (295134)
Francesca Montagnani (459741)
Annamaria Cattelan (4866913)
Hamid Hasson (4287985)
Gloria Taliani (440231)
Antonella D’Arminio Monforte (131628)
Claudio Mastroianni (733490)
Giovanni Di Perri (237806)
Sara Bigoni (4866922)
Massimo Puoti (182231)
Angiola Spinetti (4866916)
Andrea Gori (62770)
Nicola Boffa (4866907)
Bruno Cacopardo (4866910)
Andrea Giacometti (2428135)
Giustino Parruti (275883)
Vincenzo Vullo (338008)
Antonio Chirianni (4866925)
Elisabetta Teti (4033727)
Caterina Pasquazzi (4033742)
Daniela Segala (4866901)
Massimo Andreoni (103649)

February 2018

Univariate and multivariate predictors of event (eGFR decline > 5%) in the study population (144 ...

Number of patients with different follow up periods in derivation and validation cohort.

Jing Sun (141206)
Kun Sun (117828)
Sun Chen (451920)
Liping Yao (670641)
Yuqi Zhang (286958)

December 2014

Number of patients with different follow up periods in derivation and validation cohort.</p

EGFR mutation testing rates by year in 12,148 patients who underwent EGFR testing.

Yulin Li (36434)
Anita Appius (6175751)
Thirupathi Pattipaka (6175754)
Andrea Feyereislova (6175757)
Adrian Cassidy (6175760)
Apar Kishor Ganti (6175763)

January 2019

EGFR mutation testing rates by year in 12,148 patients who underwent EGFR testing.</p

Prevalence ratios (95% confidence intervals) for request of EGFR mutation testing by patient characteristics.

Yoon-La Choi (225920)
Jong-Mu Sun (416098)
Juhee Cho (164532)
Sanjay Rampal (132194)
Joungho Han (483091)
Bhash Parasuraman (584127)
Eliseo Guallar (27363)
Genehee Lee (584128)
Jeeyun Lee (145602)
Young Mog Shim (483092)

February 2013

*Multivariate analysis included 1,315 patients, and adjusted for gender, age at diagnosis, smokin...

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of follow-up.

Rosbel M. Brito (6598172)
Duc T. Nguyen (690616)
Justine R. Johnson (6598175)
Eric J. Lai (6598178)
Rochelle E. Castro (6598181)
Angelina M. Albert (6598184)
Ann. S. Barnes (6598187)
Edward A. Graviss (37271)
Wadi N. Suki (6598190)

April 2019

Linear mixed model—Characteristics associated with the change in eGFR over the entire course of foll...

Prevalence ratios (95% confidence intervals) for positive EGFR mutation status among 575 patients with available EGFR mutation data.

Yoon-La Choi (225920)
Jong-Mu Sun (416098)
Juhee Cho (164532)
Sanjay Rampal (132194)
Joungho Han (483091)
Bhash Parasuraman (584127)
Eliseo Guallar (27363)
Genehee Lee (584128)
Jeeyun Lee (145602)
Young Mog Shim (483092)

February 2013

*Multivariate analysis included 528 patients, and adjusted for gender, age at diagnosis, smoking ...

The annual rate of eGFR decline in the study groups stratified by EMP/EPC ratio.

Chien-Yi Hsu (433286)
Po-Hsun Huang (183737)
Chia-Hung Chiang (183734)
Hsin-Bang Leu (174682)
Chin-Chou Huang (183743)
Jaw-Wen Chen (174650)
Shing-Jong Lin (174700)

July 2013

All patients were divided into 4 groups according to EMP/EPC ratio in quartiles: group 1 (Q1), wi...

Change in eGFR values over time among 112 study participants, April 2010 to November 2011.

Melissa S. Nolan (316753)
Amber S. Podoll (316754)
Anne M. Hause (316755)
Katherine M. Akers (316756)
Kevin W. Finkel (316757)
Kristy O. Murray (205263)

February 2013

Change in eGFR values over time among 112 study participants, April 2010 to November 2011.</p

eGFR decline in systemic disease-related nephropathy (Significant codes: *, <0.05 means the eGFR decline is a significant value during this time interval under lineal regression model).

Shuo-Chun Weng (546159)
Der-Cherng Tarng (114877)
Chyong-Mei Chen (546160)
Chi-Hung Cheng (546161)
Ming-Ju Wu (454092)
Cheng-Hsu Chen (546162)
Tung-Min Yu (546163)
Kuo-Hsiung Shu (454091)

April 2014

eGFR decline in systemic disease-related nephropathy (Significant codes: *, <0.05 means the eGFR ...

Evaluation of the correlation between EGFR T790M mutation frequency and clinical treatment response.

Kang-Yi Su (133405)
Jeng-Sen Tseng (628945)
Keng-Mao Liao (5983022)
Tsung-Ying Yang (244469)
Kun-Chieh Chen (244491)
Kuo-Hsuan Hsu (628949)
Pan-Chyr Yang (19231)
Sung-Liang Yu (215636)
Gee-Chen Chang (244418)

November 2018

(A) Variations of EGFR T790M mutation frequency during EGFR-TKI treatment. Plasma samples from pretr...

Relationship between the changes in the eGFR and the clinical parameters at baseline in the full analysis set.

Hiroyuki Ito (339050)
Hideyuki Inoue (156340)
Takuma Izutsu (10305465)
Suzuko Matsumoto (10305462)
Shinichi Antoku (339057)
Tomoko Yamasaki (1898185)
Toshiko Mori (10305468)
Michiko Togane (339061)

September 2023

Relationship between the changes in the eGFR and the clinical parameters at baseline in the full ana...

Frequency of EGFR testing and receipt of erlotinib among non-small cell lung cancer patients diagnosed in 2010 overall and by tumor stage, Patterns of Care.

Lindsey Enewold (2832911)
Anish Thomas (2832914)

June 2016

Frequency of EGFR testing and receipt of erlotinib among non-small cell lung cancer patien...

Association of eGFR decline with outcomes during study period by different disease etiologies.

Shuo-Chun Weng (546159)
Der-Cherng Tarng (114877)
Chyong-Mei Chen (546160)
Chi-Hung Cheng (546161)
Ming-Ju Wu (454092)
Cheng-Hsu Chen (546162)
Tung-Min Yu (546163)
Kuo-Hsiung Shu (454091)

April 2014

Model 1 is crude. Model 2 is adjusted for age, gender, eGFR decline, proteinuria, ACEI/ARB, and a...

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.

Makoto Yamaguchi (588823)
Masahiko Ando (579876)
Ryohei Yamamoto (515933)
Shinichi Akiyama (588824)
Sawako Kato (588825)
Takayuki Katsuno (588826)
Tomoki Kosugi (588827)
Waichi Sato (588828)
Naotake Tsuboi (588829)
Yoshinari Yasuda (588830)
Masashi Mizuno (405214)
Yasuhiko Ito (588831)
Seiichi Matsuo (588832)
Shoichi Maruyama (363455)

June 2014

Time to 30% decline in eGFR in current/ex-smokers and those who never smoked.</p

Forest plot for rate of change in eGFR.

Bingjuan Yan (4568071)
Xiaole Su (4241998)
Boyang Xu (4568074)
Xi Qiao (4242001)
Lihua Wang (14548)

November 2018

Positive values in difference of change represent slower decline for eGFR in treatment group than in...

Number of patients tested throughout mixed models and correlation with eGFR decline at different time-points.

Abstract

Extracted data

Number of patients tested throughout mixed models and correlation with eGFR decline at different time-points.

Abstract

Extracted data

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