Comparisons between patients in different level of age at diagnosis.

U.K. Prospective Diabetes Study 22. Effect of age at diagnosis on diabetic tissue damage during the first 6 years of NIDDM.

Davis, TM
Stratton, IM
Fox, CJ
Holman, RR
Turner, RC

September 1997

OBJECTIVE: To assess the effect of age at diagnosis on the initial prevalence and subsequent risk of...

Gender difference of prevalence and adjusted odds ratio of any diabetic retinopathy (DR), Proliferative DR (PDR), Clinically significant macular edema (CSME), Vision Threshold DR (VTDR), stratified according to quintile categories of blood 25-hydroxyvitamin D among representative Korean adults aged 40 years or older.

Donghyun Jee (480337)
Kyung do Han (671638)
Eun Chul Kim (480334)

December 2014

Prevalence was expressed as weighted estimates [%] (standard errors [%], 95% confidence intervals...

Differences in cardiovascular and diabetes risk markers at mean age 70 years, by trajectory of BMI (having a high BMI at different points of the life course) at different ages (mean age 21, 50 and 70 years).

Venediktos V. Kapetanakis (669281)
Alicja R. Rudnicka (168859)
Andrea K. Wathern (669282)
Lucy Lennon (20842)
Olia Papacosta (20841)
Derek G. Cook (168879)
S. Goya Wannamethee (669283)
Peter H. Whincup (168892)
Christopher G. Owen (168863)

December 2014

n: Number of participants (subset of individuals with BMI available at all age periods). For BMI ...

Comparisons between patients in different level of fasting C-peptide.

Xiaoling Cai (319173)
Xueyao Han (319175)
Simin Zhang (475653)
Yingying Luo (319176)
Yingli Chen (383063)
Linong Ji (131708)

March 2014

*comparison among groups showed significant difference.#lowest quartile: fasting C-peptide...

Comparisons of demographic and clinical characteristics of the two study populations according to age.

Pei-Ying Wu (527605)
Mao-Yuan Chen (91713)
Szu-Min Hsieh (91712)
Hsin-Yun Sun (61134)
Mao-Song Tsai (523496)
Kuan-Yeh Lee (523493)
Wen-Chun Liu (61140)
Shan-Ping Yang (614846)
Yu-Zhen Luo (614847)
Jun-Yu Zhang (614848)
Wang-Huei Sheng (103262)
Chien-Ching Hung (61132)

August 2014

Note: The numbers in the parenthesis presented after each variable indicate the number of ...

Comparisons of demographics and radiological findings in diabetic and non-diabetic PTB patients.

Li-Kuo Huang (4117453)
Hsueh-Han Wang (4117450)
Yi-Chun Lai (451251)
Shi-Chuan Chang (106200)

June 2017

Comparisons of demographics and radiological findings in diabetic and non-diabetic PTB patients.<...

Survival estimates.

George W. Reed (384426)
Hongjo Choi (384427)
So Young Lee (259302)
Myungsun Lee (384428)
Youngran Kim (384429)
Hyemi Park (384430)
Jongseok Lee (384431)
Xin Zhan (169128)
Hyeungseok Kang (384432)
SooHee Hwang (384433)
Matthew Carroll (384434)
Ying Cai (22305)
Sang-Nae Cho (173133)
Clifton E. Barry III (197104)
Laura E. Via (315019)
Hardy Kornfeld (195529)

March 2013

Unadjusted Kaplan-Meier survival curve for all causes of death in diabetic subjects (red lines...

Overview of age-related weight developments.

Niels de Fine Olivarius (575870)
Volkert Dirk Siersma (575869)
Rasmus Køster-Rasmussen (723838)
Berit Lilienthal Heitmann (519995)
Frans Boch Waldorff (723839)

April 2015

Weight changes from 10 years before to 6 years after diabetes diagnosis according to age at diagn...

Demographic and clinical characteristics of cases.

Behzad Najafian (299389)
Michael Mauer (437377)

July 2013

Abbreviations: C = non-diabetic control; NA = normoalbuminuric; MA = microalbuminuric; P = protei...

Comparison of chronic diseases developed during follow-by mean age of occurrence (Panel A), pre-existing CD status (Panel B, table) and percent occurring as a first CD (Panel B, Figure).

Guillaume Ruel (559562)
Jean-Frédéric Lévesque (559563)
Nigel Stocks (559564)
Caroline Sirois (559565)
Edeltraut Kroger (5658955)
Robert J. Adams (375988)
Mariève Doucet (559566)
Anne W. Taylor (295067)

May 2014

The Y axis of Panel A correspond to the estimated mean age (59) at which CD were developed during...

Relationship between the age and AUCage.

Li Wu (120770)
Huandong Lin (429083)
Jian Gao (307118)
Xiaoming Li (7401)
Mingfeng Xia (204842)
Dan Wang (34472)
Qiqige Aleteng (2826989)
Hui Ma (290168)
Baishen Pan (458539)
Xin Gao (14001)

September 2017

The AUCage of HbA1c for diagnosing diabetes was negatively correlated with age (r = -0.557, P<...

Prevalence and risk of diabetic complications in young-onset versus late-onset type 2 diabetes mellitus

박혜선

November 2022

Aims: To compare the prevalence and risk of diabetic complications between people with young-onset a...

Change in age of diagnosis of type 2 diabetes in last one decade

Agrawal, Navneet
Singh, Ambrish
Rana, Seema

February 2021

Background: The prevalence of diabetes is rapidly increasing throughout the country. People diagnose...

HbA1c levels are similar between age-stratified type 1 diabetic (T1D) populations, yet HbA1c is positively and significantly correlated with CD27- proportions among older T1D (≥11 years old (y.o.)) and not with younger T1D (<11 years old (y.o.)).

Robert Z. Harms (686648)
Kristina M. Lorenzo (686649)
Kevin P. Corley (686650)
Monina S. Cabrera (686651)
Nora E. Sarvetnick (69485)

January 2015

A. Comparison of HbA1c levels between T1D<11 y.o. and T1D≥ 11 y.o. Significance was determ...

The comparison of demographic data between patient with and without severe CAD.

Chia-Ju Liu (778229)
Yen-Wen Wu (309333)
Kuan-Yin Ko (778230)
Yi-Chieh Chen (315190)
Mei-Fang Cheng (778231)
Ruoh-Fang Yen (778232)
Kai-Yuan Tzen (436050)

July 2015

Abbreviation:BMI, body mass index; METS, metabolic equivalents; HTN, hypertension; DM, dia...

U.K. Prospective Diabetes Study 22. Effect of age at diagnosis on diabetic tissue damage during the first 6 years of NIDDM.

Davis, TM
Stratton, IM
Fox, CJ
Holman, RR
Turner, RC

September 1997

OBJECTIVE: To assess the effect of age at diagnosis on the initial prevalence and subsequent risk of...

Gender difference of prevalence and adjusted odds ratio of any diabetic retinopathy (DR), Proliferative DR (PDR), Clinically significant macular edema (CSME), Vision Threshold DR (VTDR), stratified according to quintile categories of blood 25-hydroxyvitamin D among representative Korean adults aged 40 years or older.

Donghyun Jee (480337)
Kyung do Han (671638)
Eun Chul Kim (480334)

December 2014

Prevalence was expressed as weighted estimates [%] (standard errors [%], 95% confidence intervals...

Differences in cardiovascular and diabetes risk markers at mean age 70 years, by trajectory of BMI (having a high BMI at different points of the life course) at different ages (mean age 21, 50 and 70 years).

Venediktos V. Kapetanakis (669281)
Alicja R. Rudnicka (168859)
Andrea K. Wathern (669282)
Lucy Lennon (20842)
Olia Papacosta (20841)
Derek G. Cook (168879)
S. Goya Wannamethee (669283)
Peter H. Whincup (168892)
Christopher G. Owen (168863)

December 2014

n: Number of participants (subset of individuals with BMI available at all age periods). For BMI ...

Comparisons between patients in different level of fasting C-peptide.

Xiaoling Cai (319173)
Xueyao Han (319175)
Simin Zhang (475653)
Yingying Luo (319176)
Yingli Chen (383063)
Linong Ji (131708)

March 2014

*comparison among groups showed significant difference.#lowest quartile: fasting C-peptide...

Comparisons of demographic and clinical characteristics of the two study populations according to age.

Pei-Ying Wu (527605)
Mao-Yuan Chen (91713)
Szu-Min Hsieh (91712)
Hsin-Yun Sun (61134)
Mao-Song Tsai (523496)
Kuan-Yeh Lee (523493)
Wen-Chun Liu (61140)
Shan-Ping Yang (614846)
Yu-Zhen Luo (614847)
Jun-Yu Zhang (614848)
Wang-Huei Sheng (103262)
Chien-Ching Hung (61132)

August 2014

Note: The numbers in the parenthesis presented after each variable indicate the number of ...

Comparisons of demographics and radiological findings in diabetic and non-diabetic PTB patients.

Li-Kuo Huang (4117453)
Hsueh-Han Wang (4117450)
Yi-Chun Lai (451251)
Shi-Chuan Chang (106200)

June 2017

Comparisons of demographics and radiological findings in diabetic and non-diabetic PTB patients.<...

Survival estimates.

George W. Reed (384426)
Hongjo Choi (384427)
So Young Lee (259302)
Myungsun Lee (384428)
Youngran Kim (384429)
Hyemi Park (384430)
Jongseok Lee (384431)
Xin Zhan (169128)
Hyeungseok Kang (384432)
SooHee Hwang (384433)
Matthew Carroll (384434)
Ying Cai (22305)
Sang-Nae Cho (173133)
Clifton E. Barry III (197104)
Laura E. Via (315019)
Hardy Kornfeld (195529)

March 2013

Unadjusted Kaplan-Meier survival curve for all causes of death in diabetic subjects (red lines...

Overview of age-related weight developments.

Niels de Fine Olivarius (575870)
Volkert Dirk Siersma (575869)
Rasmus Køster-Rasmussen (723838)
Berit Lilienthal Heitmann (519995)
Frans Boch Waldorff (723839)

April 2015

Weight changes from 10 years before to 6 years after diabetes diagnosis according to age at diagn...

Demographic and clinical characteristics of cases.

Behzad Najafian (299389)
Michael Mauer (437377)

July 2013

Abbreviations: C = non-diabetic control; NA = normoalbuminuric; MA = microalbuminuric; P = protei...

Comparison of chronic diseases developed during follow-by mean age of occurrence (Panel A), pre-existing CD status (Panel B, table) and percent occurring as a first CD (Panel B, Figure).

Guillaume Ruel (559562)
Jean-Frédéric Lévesque (559563)
Nigel Stocks (559564)
Caroline Sirois (559565)
Edeltraut Kroger (5658955)
Robert J. Adams (375988)
Mariève Doucet (559566)
Anne W. Taylor (295067)

May 2014

The Y axis of Panel A correspond to the estimated mean age (59) at which CD were developed during...

Relationship between the age and AUCage.

Li Wu (120770)
Huandong Lin (429083)
Jian Gao (307118)
Xiaoming Li (7401)
Mingfeng Xia (204842)
Dan Wang (34472)
Qiqige Aleteng (2826989)
Hui Ma (290168)
Baishen Pan (458539)
Xin Gao (14001)

September 2017

The AUCage of HbA1c for diagnosing diabetes was negatively correlated with age (r = -0.557, P<...

Prevalence and risk of diabetic complications in young-onset versus late-onset type 2 diabetes mellitus

박혜선

November 2022

Aims: To compare the prevalence and risk of diabetic complications between people with young-onset a...

Change in age of diagnosis of type 2 diabetes in last one decade

Agrawal, Navneet
Singh, Ambrish
Rana, Seema

February 2021

Background: The prevalence of diabetes is rapidly increasing throughout the country. People diagnose...

HbA1c levels are similar between age-stratified type 1 diabetic (T1D) populations, yet HbA1c is positively and significantly correlated with CD27- proportions among older T1D (≥11 years old (y.o.)) and not with younger T1D (<11 years old (y.o.)).

Robert Z. Harms (686648)
Kristina M. Lorenzo (686649)
Kevin P. Corley (686650)
Monina S. Cabrera (686651)
Nora E. Sarvetnick (69485)

January 2015

A. Comparison of HbA1c levels between T1D<11 y.o. and T1D≥ 11 y.o. Significance was determ...

The comparison of demographic data between patient with and without severe CAD.

Chia-Ju Liu (778229)
Yen-Wen Wu (309333)
Kuan-Yin Ko (778230)
Yi-Chieh Chen (315190)
Mei-Fang Cheng (778231)
Ruoh-Fang Yen (778232)
Kai-Yuan Tzen (436050)

July 2015

Abbreviation:BMI, body mass index; METS, metabolic equivalents; HTN, hypertension; DM, dia...

U.K. Prospective Diabetes Study 22. Effect of age at diagnosis on diabetic tissue damage during the first 6 years of NIDDM.

Davis, TM
Stratton, IM
Fox, CJ
Holman, RR
Turner, RC

September 1997

OBJECTIVE: To assess the effect of age at diagnosis on the initial prevalence and subsequent risk of...

Gender difference of prevalence and adjusted odds ratio of any diabetic retinopathy (DR), Proliferative DR (PDR), Clinically significant macular edema (CSME), Vision Threshold DR (VTDR), stratified according to quintile categories of blood 25-hydroxyvitamin D among representative Korean adults aged 40 years or older.

Donghyun Jee (480337)
Kyung do Han (671638)
Eun Chul Kim (480334)

December 2014

Prevalence was expressed as weighted estimates [%] (standard errors [%], 95% confidence intervals...

Differences in cardiovascular and diabetes risk markers at mean age 70 years, by trajectory of BMI (having a high BMI at different points of the life course) at different ages (mean age 21, 50 and 70 years).

Venediktos V. Kapetanakis (669281)
Alicja R. Rudnicka (168859)
Andrea K. Wathern (669282)
Lucy Lennon (20842)
Olia Papacosta (20841)
Derek G. Cook (168879)
S. Goya Wannamethee (669283)
Peter H. Whincup (168892)
Christopher G. Owen (168863)

December 2014

n: Number of participants (subset of individuals with BMI available at all age periods). For BMI ...

Comparisons between patients in different level of age at diagnosis.

Abstract

Extracted data

Comparisons between patients in different level of age at diagnosis.

Abstract

Extracted data

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