Register      Login
Australian Journal of Primary Health Australian Journal of Primary Health Society
The issues influencing community health services and primary health care

Articles citing this paper

cfArticle2ecfc1291681887$funcTITLE@74116a23

Jo-Anne E. Manski-Nankervis A D , Sharmala Thuraisingam A , Phyllis Lau A , Irene Blackberry A B , Janet K. Sluggett C , Jenni Ilomaki C , J. Simon Bell C and John Furler A
+ Author Affiliations
- Author Affiliations

A Department of General Practice, University of Melbourne, 200 Berkeley Street, Carlton, Vic. 3053, Australia.

B John Richards Initiative, La Trobe University, Wodonga, Vic 3690, Australia.

C Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Vic. 3052, Australia.

D Corresponding author. Email: jomn@unimelb.edu.au

Australian Journal of Primary Health 24(3) 280-286 https://doi.org/10.1071/PY17156
Submitted: 2 June 2017  Accepted: 14 February 2018   Published: 29 May 2018



18 articles found in Crossref database.

The diagnostic efficacy of diffusion tensor imaging generated by gadolinium-based magnetic resonance imaging for patients with chronic kidney disease
He Liu, Dan Gao, Yuanbo Sun, Fengqiong Tang, Mingcheng Hu, Li Hongyi
Medicine. 2022 101(27). p.e29291
Guidelines adherence in the prevention and management of chronic kidney disease in patients with diabetes mellitus on the background of recent European recommendations – a registry-based analysis
Bramlage Peter, Lanzinger Stefanie, Tittel Sascha R., Hess Eva, Fahrner Simon, Heyer Christoph H. J., Friebe Mathias, Buschmann Ivo, Danne Thomas, Seufert Jochen, Holl Reinhard W.
BMC Nephrology. 2021 22(1).
Identification of Patients With Elevated Urine Albumin–to-Creatinine Ratio Levels in a Type 2 Diabetes Mellitus Cohort Based on Data Submitted by Patients via a Smartphone App (SMART-Finder): Protocol for an Observational Study
Mueller Christian, Schürks Markus, Neußer Thomas, von der Osten Uschi, Weihermüller Daniela, von Arnim Ira, Martin Stephan
JMIR Research Protocols. 2023 12 p.e44996
Non-invasive chronic kidney disease risk stratification tool derived from retina-based deep learning and clinical factors
Joo Young Su, Rim Tyler Hyungtaek, Koh Hee Byung, Yi Joseph, Kim Hyeonmin, Lee Geunyoung, Kim Young Ah, Kang Shin-Wook, Kim Sung Soo, Park Jung Tak
npj Digital Medicine. 2023 6(1).
What methods are being used to create an evidence base on the use of laboratory tests to monitor long-term conditions in primary care? A scoping review
Elwenspoek Martha M C, Scott Lauren J, Alsop Katharine, Patel Rita, Watson Jessica C, Mann Ed, Whiting Penny
Family Practice. 2020 37(6). p.845
An explainable deep learning model for prediction of early‐stage chronic kidney disease
Arumugham Vinothini, Sankaralingam Baghavathi Priya, Jayachandran Uma Maheswari, Krishna Komanduri Venkata Sesha Sai Rama, Sundarraj Selvanayaki, Mohammed Moulana
Computational Intelligence. 2023 39(6). p.1022
Association of Retinal Age Gap and Risk of Kidney Failure: A UK Biobank Study
Zhang Shiran, Chen Ruiye, Wang Yan, Hu Wenyi, Kiburg Katerina V., Zhang Junyao, Yang Xiaohong, Yu Honghua, He Mingguang, Wang Wei, Zhu Zhuoting
American Journal of Kidney Diseases. 2023 81(5). p.537
Association of renal function screening frequency with renal function decline in patients with type 2 diabetes: a real-world study in primary health care
Sundqvist Henry, Heikkala Eveliina, Jokelainen Jari, Russo Giuseppina, Mikkola Ilona, Hagnäs Maria
BMC Nephrology. 2022 23(1).
Projecting the Incidence of Type 2 Diabetes–Related End-Stage Kidney Disease Until 2040: A Comparison Between the Effects of Diabetes Prevention and the Effects of Diabetes Treatment
Morton Jedidiah I., McDonald Stephen P., Salim Agus, Liew Danny, Shaw Jonathan E., Magliano Dianna J.
Diabetes Care. 2021 44(7). p.1515
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populations
Sabanayagam Charumathi, Xu Dejiang, Ting Daniel S W, Nusinovici Simon, Banu Riswana, Hamzah Haslina, Lim Cynthia, Tham Yih-Chung, Cheung Carol Y, Tai E Shyong, Wang Ya Xing, Jonas Jost B, Cheng Ching-Yu, Lee Mong Li, Hsu Wynne, Wong Tien Y
The Lancet Digital Health. 2020 2(6). p.e295
InspeCKD - Analyse zur Nutzung von Labordiagnostik im Kontext der chronischen Nierenerkrankung
Wanner Christoph, Schaeffner Elke, Frese Thomas, Weber Christoph, Stahl Philipp, Scherg Felix, Burckhardt Fabian, Opfermann Ulrich, Radowsky Frank, Mader Frederik
MMW - Fortschritte der Medizin. 2024 166(S4). p.9
Towards optimising chronic kidney disease detection and management in primary care: Underlying theory and protocol for technology development using an Integrated Knowledge Translation approach
Manski-Nankervis Jo-Anne, Alexander Karyn, Biezen Ruby, Jones Julia, Hunter Barbara, Emery Jon, Lumsden Natalie, Boyle Douglas, Gunn Jane, McMorrow Rita, Prictor Megan, Taylor Mark, Hallinan Christine, Chondros Patty, Janus Edward, McIntosh Jennifer, Nelson Craig
Health Informatics Journal. 2021 27(2). p.146045822110082
Diabetes Mellitus Diagnosis and Screening in Australian General Practice: A National Study
Zheng Mingyue, Bernardo Carla De Oliveira, Stocks Nigel, Gonzalez-Chica David, Chiefari Eusebio
Journal of Diabetes Research. 2022 2022 p.1
Prescribing for people with type 2 diabetes and renal impairment in Australian general practice: A national cross sectional study
Manski-Nankervis Jo-Anne E., Thuraisingam Sharmala, Sluggett Janet K., Lau Phyllis, Blackberry Irene, Ilomaki Jenni, Furler John, Bell J. Simon
Primary Care Diabetes. 2019 13(2). p.113
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetes
Betzler Bjorn Kaijun, Chee Evelyn Yi Lyn, He Feng, Lim Cynthia Ciwei, Ho Jinyi, Hamzah Haslina, Tan Ngiap Chuan, Liew Gerald, McKay Gareth J, Hogg Ruth E, Young Ian S, Cheng Ching-Yu, Lim Su Chi, Lee Aaron Y, Wong Tien Yin, Lee Mong Li, Hsu Wynne, Tan Gavin Siew Wei, Sabanayagam Charumathi
Journal of the American Medical Informatics Association. 2023 30(12). p.1904
Data Resource Profile: MedicineInsight, an Australian national primary health care database
Busingye Doreen, Gianacas Christopher, Pollack Allan, Chidwick Kendal, Merrifield Alistair, Norman Sarah, Mullin Bernie, Hayhurst Rachel, Blogg Suzanne, Havard Alys, Stocks Nigel
International Journal of Epidemiology. 2019
Prediction of diabetic kidney disease risk using machine learning models: A population-based cohort study of Asian adults
Sabanayagam Charumathi, He Feng, Nusinovici Simon, Li Jialiang, Lim Cynthia, Tan Gavin, Cheng Ching Yu
eLife. 2023 12
Barriers and Facilitators to Screening for Kidney Disease Among Older Adults with Hypertension and Diabetes in Mbarara Southwestern Uganda: Healthcare Providers’ Perspective
Owokuhaisa Judith, Abaasa Catherine, Muhindo Rose, Musinguzi Pius, Rukundo Godfrey
Journal of Multidisciplinary Healthcare. 2024 Volume 17 p.855

Committee on Publication Ethics


Abstract Export Citation