Mar 4, 2021: Read about our 5th healthcare database profile from Singapore
The Singapore Renal Registry (SRR) started capturing patients with chronic kidney disease stage 5 (CKD5) since 1999. In 2007, the Singapore General Hospital, which contributes about 50% of the new CKD5 cases each year, started to provide the SRR their list of patients with eGFR <15 ml/min/1.73m2. The SRR receives CKD5 case notifications from the public hospitals, dialysis centres, kidney transplant centres and private nephrology clinics.
Singapore Renal Registry (SRR) (Singapore) **
Database Contact Data
National Registry of Diseases Office
Address:
Health Promotion Board
3 Second Hospital Avenue
Level 5
Singapore 168937
Email: HPB_SERVICENRDO@hpb.gov.sg
Phone: +65 6435 3077 / +65 6435 3091 / +65 6435 3039
Alternate Contact
N/A
References of Studies Using/Describing Database
1. Health Promotion Board. Singapore Renal Registry
Annual Report 2022. 2024 Jan. https://www.nrdo.gov.sg/docs/librariesprovider3/default-document-library/srr-annual-report-2022.pdf?sfvrsn=5ca01be2_0
2. Khan BA, Singh T, Ng AL, Teo RZ. Health economics of kidney replacement therapy in Singapore: Taking stock and looking ahead. Annals of the Academy of Medicine, Singapore. 2022 Apr 1;51(4):236-40.
3. Khoo CY, Gao F, Choong HL, Tan WXA, Koniman R, Fam JM, Yeo KK. Death and cardiovascular outcomes in end-stage renal failure patients on different modalities of dialysis. Ann Acad Med Singap. 2022 Mar;51(3):136-142.
4. Geng TT, Jafar TH, Neelakantan N, Yuan JM, van Dam RM, Koh WP. Healthful dietary patterns and risk of end-stage kidney disease: the Singapore Chinese Health Study. Am J Clin Nutr. 2020 Dec 31:nqaa348.
5. Leo CCH, Chan GC. Global Perspectives in Dialysis: Singapore. Kidney360. 2020 Sep 18;1(11):1306-1309.
6. Geng TT, Jafar TH, Yuan JM, Koh WP. The impact of diabetes on the association between alcohol intake and the risk of end-stage kidney disease in the Singapore Chinese Health Study. J Diabetes. 2020 Aug;12(8):583-593
7. Tan KW, Dickens BSL, Cook AR. Projected burden of type 2 diabetes mellitus-related complications in Singapore until 2050: a Bayesian evidence synthesis. BMJ Open Diabetes Res Care. 2020 Mar;8(1):e000928.
8. Wang Y, Nguyen FNHL, Allen JC, Lew JQL, Tan NC, Jafar TH. Validation of the kidney failure risk equation for end-stage kidney disease in Southeast Asia. BMC Nephrol. 2019 Dec 4;20(1):451.
9. Geng TT, Talaei M, Jafar TH, Yuan JM, Koh WP. Pulse Pressure and the Risk of End-Stage Renal Disease Among Chinese Adults in Singapore: The Singapore Chinese Health Study. J Am Heart Assoc. 2019 Dec 3;8(23):e013282.
10. Lim CC, Chee ML, Cheng CY, Kwek JL, Foo M, Wong TY, Sabanayagam C. Simplified end stage renal failure risk prediction model for the low-risk general population with chronic kidney disease. PLoS One. 2019 Feb 22;14(2):e0212590.
Feb 26, 2021: Learn more about another genetic database – PHGKB (USA)
Launched in October 2015, the Public Health Genomics and Precision Health Knowledge Base (PHGKB) is an online, continuously updated, searchable compendium of databases (including a COVID-19 GPH) containing published scientific literature, CDC resources, and other materials that address the translation of genomics and precision health discoveries into improved health care and disease prevention. Specialized PHGKB are subsets related to specif
Public Health Genomics and Precision Health Knowledge Base (PHGKB) (USA)
Database Contact Data
Wei Yu, PhD, MS
Senior Bioinformatician / Health Scientist
Office of Public Health Genomics
Centers for Disease Control and Prevention
2500 Century Center, Rm 5007
Atlanta, GA 30345
USA
Phone: +1 (404) 498-3419
Fax: +1 (770) 488-4839
Email: wby0@cdc.gov
Alternate Contact
Email: genetics@cdc.gov
References of Studies Using/Describing Database
1. Liu X, Wang Y, Zhang Y, Jiang H, Huo X, Liu R. Integrated bioinformatic analysis and experimental validation to reveal the mechanisms of xinfeng capsule against rheumatoid arthritis. Combinatorial Chemistry & High Throughput Screening. 2023 Oct 1;26(12):2161-9.
2. Sun S, Wang H. Clocking Epilepsies: A Chronomodulated Strategy-Based Therapy for Rhythmic Seizures. Int J Mol Sci. 2023 Feb 20;24(4):4223.
3. Yu W, Drzymalla E, Gwinn M, Khoury MJ. COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response. BMC Infect Dis. 2022 Apr 25;22(1):402.
4. Khoury MJ, Armstrong GL, Bunnell RE, Cyril J, Iademarco MF. The intersection of genomics and big data with public health: Opportunities for precision public health. PLoS Medicine. 2020 Oct 29;17(10):e1003373.
5. Yu W, Gwinn M, Khoury MJ. A new resource for genomics and precision health information and publications on the investigation and control of COVID-19 and other coronaviruses. bioRxiv. 2020 Apr 21:2020-04.
6. Shen Y, Li M, Liu K, Xu X, Zhu S, Wang N, Guo W, Zhao Q, Lu P, Yu F, Xu X. Integrated bioinformatics analysis of aberrantly-methylated differentially-expressed genes and pathways in age-related macular degeneration. BMC Ophthalmol. 2020 Mar 24;20(1):119.
7. Barbitoff YA, Tsarev AA, Vashukova ES, Maksiutenko EM, Kovalenko LV, Belotserkovtseva LD, Glotov AS. A data-driven review of the genetic factors of pregnancy complications. International journal of molecular sciences. 2020 Jan;21(9):3384.
8. Lee K, Clyne M, Yu W, Lu Z, Khoury MJ. Tracking human genes along the translational continuum. NPJ Genom Med. 2019 Oct 16;4:25.
9. Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genetics in Medicine. 2019 Mar;21(3):519-24.
10. Yu W, Gwinn M, Dotson WD, Green RF, Clyne M, Wulf A, Bowen S, Kolor K, Khoury MJ. A knowledge base for tracking the impact of genomics on population health. Genet Med. 2016 Dec;18(12):1312-1314.