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NCT03299010
10-year Risk Prediction Models of Complications and Mortality of DM in Hong Kong
trial in Diabetes Mellitus in 141,516 participants. Completed in 31 December 2019.
31 December 2018
Quick facts
| Lead sponsor | The University of Hong Kong |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 141,516 |
| Start date | 1 July 2017 |
| Primary completion | 31 December 2018 |
| Estimated completion | 31 December 2019 |
| Sites | 2 locations across China, Hong Kong |
Conditions studied
- Diabetes Mellitus — all drugs for Diabetes Mellitus →
- Cardiovascular Diseases — all drugs for Cardiovascular Diseases →
- Mortality — all drugs for Mortality →
- Primary Health Care — all drugs for Primary Health Care →
Sponsor
The University of Hong Kong
Who can join
18 and older, any sex, with Diabetes Mellitus or Cardiovascular Diseases. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Diabetes Mellitus (DM) is a well-recognized public health issue worldwide. DM can lead to many complications resulting in morbidity and mortality, approximately 70% of DM related deaths were attributed to cardiovascular diseases (CVD). Objectives: To develop 10-year risk prediction models for CVD, end stage renal disease (ESRD) and all-cause mortality among Chinese patients with DM in primary care. Hypotheses: 1. Patient socio-demographic, clinical parameters, disease characteristics and treatment modalities are predictive of 10-year risk of CVD, ESRD and all-cause mortality. 2. Risk prediction models developed from this study should have over 70% of discriminating power. Design and Subjects: 10-year retrospective cohort study. All Chinese patients who were clinically diagnosed to have DM and were receiving care in the public (Hospital Authority) primary care clinics on or before 1 July 2006 will be followed up until 31 December 2016. Main outcomes measures: For total CVD, CHD, stroke, heart failure, ESRD, all-cause mortality 1. 10-year incidence; 2. Predictive factors Data analysis: Two thirds of subjects will be randomly selected as the training sample for model development. Cox regressions will be used to develop sex-specific 10-year risk prediction models for each outcome. The validity of models will be tested on the remaining one third of subjects by Harrell C statistics and ROC Expected results: Risk prediction models will enable accurate risk stratification and cost-effective interventions for Chinese DM patients in primary care.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
Generative adversarial networks for imputing missing data for big data clinical research.
Dong W, Fong DYT, Yoon JS, Wan EYF, et al · · 2021 · cited 28× · PMID 33879090 · DOI 10.1186/s12874-021-01272-3 -
Ten-year risk prediction models of complications and mortality of Chinese patients with diabetes mellitus in primary care in Hong Kong: a study protocol.
Wan EYF, Yu EYT, Chin WY, Fung CSC, et al · · 2018 · cited 6× · PMID 30327405 · DOI 10.1136/bmjopen-2018-023070
Verify or expand the search:
- PubMed search for NCT03299010
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT03299010 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by The University of Hong Kong
- Last refreshed: 12 December 2024
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