162 related articles for article (PubMed ID: 23393174)
1. Development of a screening score for undiagnosed diabetes and its application in estimating absolute risk of future type 2 diabetes in Japan: Toranomon Hospital Health Management Center Study 10 (TOPICS 10).
Heianza Y; Arase Y; Saito K; Hsieh SD; Tsuji H; Kodama S; Tanaka S; Ohashi Y; Shimano H; Yamada N; Hara S; Sone H
J Clin Endocrinol Metab; 2013 Mar; 98(3):1051-60. PubMed ID: 23393174
[TBL] [Abstract][Full Text] [Related]
2. Development of a new scoring system for predicting the 5 year incidence of type 2 diabetes in Japan: the Toranomon Hospital Health Management Center Study 6 (TOPICS 6).
Heianza Y; Arase Y; Hsieh SD; Saito K; Tsuji H; Kodama S; Tanaka S; Ohashi Y; Shimano H; Yamada N; Hara S; Sone H
Diabetologia; 2012 Dec; 55(12):3213-23. PubMed ID: 22955996
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a non-invasive assessment tool for screening prevalent undiagnosed diabetes in middle-aged and elderly Chinese.
Wu J; Hou X; Chen L; Chen P; Wei L; Jiang F; Bao Y; Jia W
Prev Med; 2019 Feb; 119():145-152. PubMed ID: 30594538
[TBL] [Abstract][Full Text] [Related]
4. Screening for pre-diabetes to predict future diabetes using various cut-off points for HbA(1c) and impaired fasting glucose: the Toranomon Hospital Health Management Center Study 4 (TOPICS 4).
Heianza Y; Arase Y; Fujihara K; Tsuji H; Saito K; Hsieh SD; Kodama S; Shimano H; Yamada N; Hara S; Sone H
Diabet Med; 2012 Sep; 29(9):e279-85. PubMed ID: 22510023
[TBL] [Abstract][Full Text] [Related]
5. Personal Characteristics Effects on Validation of Self-reported Type 2 Diabetes From a Cross-sectional Survey Among Chinese Adults.
Li HL; Fang J; Zhao LG; Liu DK; Wang J; Han LH; Xiang YB
J Epidemiol; 2020 Nov; 30(11):516-521. PubMed ID: 31656244
[TBL] [Abstract][Full Text] [Related]
6. Nonlaboratory-based risk assessment algorithm for undiagnosed type 2 diabetes developed on a nation-wide diabetes survey.
Zhou X; Qiao Q; Ji L; Ning F; Yang W; Weng J; Shan Z; Tian H; Ji Q; Lin L; Li Q; Xiao J; Gao W; Pang Z; Sun J
Diabetes Care; 2013 Dec; 36(12):3944-52. PubMed ID: 24144651
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of a patient self-assessment score for diabetes risk.
Bang H; Edwards AM; Bomback AS; Ballantyne CM; Brillon D; Callahan MA; Teutsch SM; Mushlin AI; Kern LM
Ann Intern Med; 2009 Dec; 151(11):775-83. PubMed ID: 19949143
[TBL] [Abstract][Full Text] [Related]
8. Comparison of different aspects of BMI history to identify undiagnosed diabetes in Japanese men and women: Toranomon Hospital Health Management Center Study 12 (TOPICS 12).
Yoshizawa S; Heianza Y; Arase Y; Saito K; Hsieh SD; Tsuji H; Hanyu O; Suzuki A; Tanaka S; Kodama S; Shimano H; Hara S; Sone H
Diabet Med; 2014 Nov; 31(11):1378-86. PubMed ID: 24750392
[TBL] [Abstract][Full Text] [Related]
9. Derivation and validation of diabetes risk score for urban Asian Indians.
Ramachandran A; Snehalatha C; Vijay V; Wareham NJ; Colagiuri S
Diabetes Res Clin Pract; 2005 Oct; 70(1):63-70. PubMed ID: 16126124
[TBL] [Abstract][Full Text] [Related]
10. An innovative prognostic model for predicting diabetes risk in the Thai population.
Pongchaiyakul C; Kotruchin P; Wanothayaroj E; Nguyen TV
Diabetes Res Clin Pract; 2011 Nov; 94(2):193-8. PubMed ID: 21835485
[TBL] [Abstract][Full Text] [Related]
11. The performance of the Finnish Diabetes Risk Score, a modified Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in community-based cross-sectional screening of undiagnosed type 2 diabetes in the Philippines.
Ku GM; Kegels G
Prim Care Diabetes; 2013 Dec; 7(4):249-59. PubMed ID: 23953706
[TBL] [Abstract][Full Text] [Related]
12. Development of a screening tool using electronic health records for undiagnosed Type 2 diabetes mellitus and impaired fasting glucose detection in the Slovenian population.
Štiglic G; Kocbek P; Cilar L; Fijačko N; Stožer A; Zaletel J; Sheikh A; Povalej Bržan P
Diabet Med; 2018 May; 35(5):640-649. PubMed ID: 29460977
[TBL] [Abstract][Full Text] [Related]
13. Choosing the most appropriate existing type 2 diabetes risk assessment tool for use in the Philippines: a case-control study with an urban Filipino population.
Agarwal G; Guingona MM; Gaber J; Angeles R; Rao S; Cristobal F
BMC Public Health; 2019 Aug; 19(1):1169. PubMed ID: 31455247
[TBL] [Abstract][Full Text] [Related]
14. A more simplified Finnish diabetes risk score for opportunistic screening of undiagnosed type 2 diabetes in a German population with a family history of the metabolic syndrome.
Li J; Bergmann A; Reimann M; Bornstein SR; Schwarz PE
Horm Metab Res; 2009 Feb; 41(2):98-103. PubMed ID: 18975253
[TBL] [Abstract][Full Text] [Related]
15. Screening for Type 2 Diabetes and Dysglycemia in Saudi Arabia: Development and Validation of Risk Scores.
Memish ZA; Chang JL; Saeedi MY; Al Hamid MA; Abid O; Ali MK
Diabetes Technol Ther; 2015 Oct; 17(10):693-700. PubMed ID: 26154413
[TBL] [Abstract][Full Text] [Related]
16. Performance of the Finnish Diabetes Risk Score (FINDRISC) and Modified Asian FINDRISC (ModAsian FINDRISC) for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in primary care.
Lim HM; Chia YC; Koay ZL
Prim Care Diabetes; 2020 Oct; 14(5):494-500. PubMed ID: 32156516
[TBL] [Abstract][Full Text] [Related]
17. Fasting Plasma Glucose and the HbA1c Are Not Optimal Screening Modalities for the Diagnosis of New Diabetes in Previously Undiagnosed Asian Indian Community Participants.
Prakaschandra R; Naidoo DP
Ethn Dis; 2018; 28(1):19-24. PubMed ID: 29467562
[TBL] [Abstract][Full Text] [Related]
18. Is the measurement of glycated hemoglobin A1c alone an efficient screening test for undiagnosed diabetes? Japan National Diabetes Survey.
Nakagami T; Tominaga M; Nishimura R; Yoshiike N; Daimon M; Oizumi T; Tajima N
Diabetes Res Clin Pract; 2007 May; 76(2):251-6. PubMed ID: 17049661
[TBL] [Abstract][Full Text] [Related]
19. Adapting existing diabetes risk scores for an Asian population: a risk score for detecting undiagnosed diabetes in the Mongolian population.
Dugee O; Janchiv O; Jousilahti P; Sakhiya A; Palam E; Nuorti JP; Peltonen M
BMC Public Health; 2015 Sep; 15():938. PubMed ID: 26395572
[TBL] [Abstract][Full Text] [Related]
20. Cut-off values of fasting and post-load plasma glucose and HbA1c for predicting Type 2 diabetes in community-dwelling Japanese subjects: the Hisayama Study.
Mukai N; Doi Y; Ninomiya T; Hata J; Hirakawa Y; Fukuhara M; Iwase M; Kiyohara Y
Diabet Med; 2012 Jan; 29(1):99-106. PubMed ID: 21726278
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
