Crossref

1. External validation of Prediabetes Risk Test in Indian population for screening prediabetes

- Radhika Aditya Jadhav

- G. Arun Maiya

- Shashikiran Umakanth

- K.N. Shivashankara

2. Identification of antibiotic resistance profiles in diabetic foot infections: A machine learning proof-of-concept analysis

- Rodrigo M. Carrillo-Larco

- Edmundo de Elvira Mori Orrillo

- Manuel Castillo-Cara

- Raúl García

- Marlon Yovera-Aldana

- Antonio Bernabe-Ortiz

3. Tailoring nursing interventions to empower patients: personal coping strategies and self-management in type 2 diabetes care

- Ateya Megahed Ibrahim

- Fatma Abd El Latief Gano

- Hassanat Ramadan Abdel-Aziz

- Nora H. Elneblawi

- Donia Elsaid Fathi Zaghamir

- Lobna Mohamed Mohamed Abu Negm

- Rasha Kamal Mohamed Sweelam

- Safaa Ibrahim Ahmed

- Heba Ahmed Osman Mohamed

- Fathia gamal elsaid hassabelnaby

- Aziza Mohamed Kamel

4. Prediction Models for Diabetes in Children and Adolescents: A Review

- Livija Cveticanin

- Marko Arsenovic

5. Letter to the Editor Regarding “Nationwide Prevalence of Diabetes and Prediabetes and Associated Risk Factors Among Iranian Adults: Analysis of Data from PERSIAN Cohort Study”

- Samaneh Asgari

- Davood Khalili

- Yadollah Mehrabi

- Farzad Hadaegh

6. Mean age and body mass index at type 2 diabetes diagnosis: Pooled analysis of 56 health surveys across income groups and world regions

- Rodrigo M. Carrillo‐Larco

- Wilmer Cristobal Guzman‐Vilca

- Xiaolin Xu

- Antonio Bernabe‐Ortiz

7. Statins and new-onset diabetes in primary prevention setting: an updated meta-analysis stratified by baseline diabetes risk

- Walter Masson

- Martín Lobo

- Leandro Barbagelata

- Juan P. Nogueira

8. The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging

- Zoltan Ungvari

- Adam G. Tabák

- Roza Adany

- György Purebl

- Csilla Kaposvári

- Vince Fazekas-Pongor

- Tamás Csípő

- Zsófia Szarvas

- Krisztián Horváth

- Peter Mukli

- Piroska Balog

- Robert Bodizs

- Peter Ujma

- Adrienne Stauder

- Daniel W. Belsky

- Illés Kovács

- Andriy Yabluchanskiy

- Andrea B. Maier

- Mariann Moizs

- Piroska Östlin

- Yongjie Yon

- Péter Varga

- Zoltán Vokó

- Magor Papp

- István Takács

- Barna Vásárhelyi

- Péter Torzsa

- Péter Ferdinandy

- Anna Csiszar

- Zoltán Benyó

- Attila J. Szabó

- Gabriella Dörnyei

- Mika Kivimäki

- Miklos Kellermayer

- Bela Merkely

9. Developing a simple and practical decision model to predict the risk of incident type 2 diabetes among the general population: The [email protected] Study

- Sergio Martínez-Hervás

- María M. Morales-Suarez-Varela

- Irene Andrés-Blasco

- Francisco Lara-Hernández

- Isabel Peraita-Costa

- José T. Real

- Ana-Bárbara García-García

- F. Javier Chaves

10. Predicting diabetes-related conditions in need of intervention: Lolland-Falster Health Study, Denmark

- Søren Lophaven

- Neda Esmailzadeh Bruun-Rasmussen

- Therese Holmager

- Randi Jepsen

- Allan Kofoed-Enevoldsen

- Elsebeth Lynge

11. A meta‐analysis of diabetes risk prediction models applied to prediabetes screening

- Yujin Liu

- Sunrui Yu

- Wenming Feng

- Hangfeng Mo

- Yuting Hua

- Mei Zhang

- Zhichao Zhu

- Xiaoping Zhang

- Zhen Wu

- Lanzhen Zheng

- Xiaoqiu Wu

- Jiantong Shen

- Wei Qiu

- Jianlin Lou

12. Adding social determinants of health to the equation: Development of a cardiometabolic disease staging model using clinical and social determinants of health to predict type 2 diabetes

- Carrie R. Howell

- Shiori Tanaka

- Li Zhang

- April P. Carson

- Nengjun Yi

- James M. Shikany

- W. Timothy Garvey

- Andrea L. Cherrington

13. Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data

- Hiroe Seto

- Asuka Oyama

- Shuji Kitora

- Hiroshi Toki

- Ryohei Yamamoto

- Jun’ichi Kotoku

- Akihiro Haga

- Maki Shinzawa

- Miyae Yamakawa

- Sakiko Fukui

- Toshiki Moriyama