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NCT03636334: LIGHT
Learning Implementation of Guideline-based Decision Support System for Hypertension Treatment (LIGHT)
NA trial testing Computer-based decision support system in Hypertension in 10,000 participants. Status unknown.
30 March 2022
Quick facts
| Lead sponsor | China National Center for Cardiovascular Diseases |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | treatment |
| Enrollment | 10,000 |
| Start date | 21 August 2019 |
| Primary completion | 30 March 2022 |
| Estimated completion | 30 March 2022 |
| Sites | 3 locations across China |
Drugs / interventions tested
- Computer-based decision support system
Conditions studied
- Hypertension — all drugs for Hypertension →
Sponsor
China National Center for Cardiovascular Diseases — full company profile →
Who can join
18 and older, any sex, with Hypertension. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This trial aims to evaluate the effectiveness of a guideline-based decision support system for hypertension management by physicians at primary health care (PHC) centers in China in order to improve the delivery of appropriate treatment and blood pressure (BP) control for hypertensive individuals.
Publications & conference data
6 peer-reviewed publications reference this trial (live from Europe PMC):
-
Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial.
Song J, Wang X, Wang B, Ge Y, et al · · 2024 · cited 12× · PMID 39043397 · DOI 10.1136/bmj-2023-079143 -
Effectiveness of a clinical decision support system for hypertension management in primary care: study protocol for a pragmatic cluster-randomized controlled trial.
Song J, Wang X, Wang B, Gao Y, et al · · 2022 · cited 8× · PMID 35578345 · DOI 10.1186/s13063-022-06374-x -
Development of a machine learning-based model for predicting individual responses to antihypertensive treatments.
Yi J, Wang L, Song J, Liu Y, et al · · 2024 · cited 6× · PMID 38555240 · DOI 10.1016/j.numecd.2024.02.014 -
Clinical Decision Support System, Antihypertensive Treatment Intensification, and Blood Pressure Control: A Post Hoc Secondary Analysis of a Cluster Randomized Trial.
Song J, Liu Y, Shang Q, Liu J, et al · · 2026 · PMID 42201734 · DOI 10.1001/jamanetworkopen.2026.14858 -
Rationale And Design of The Learning Implementation of Guideline-Based Decision Support System For Hypertension Treatment (LIGHT) Trial And LIGHT-ACD Trial
Song J, Wang X, Wang B, Gao Y, et al · · 2021 · DOI 10.21203/rs.3.rs-665345/v1 -
Rationale and design of the Learning Implementation of Guideline-based decision support system for Hypertension Treatment (LIGHT) Trial and LIGHT-ACD Trial
Song J, Wang X, Wang B, Gao Y, et al · · 2021 · DOI 10.1101/2021.03.11.21253427
Verify or expand the search:
- PubMed search for NCT03636334
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other China National Center for Cardiovascular Diseases trials
Trials by the same sponsor.
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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 NCT03636334 (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 China National Center for Cardiovascular Diseases
- Last refreshed: 15 April 2021
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Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing