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NCT04423991: IDENTIFY
Identification of a Responsive Subpopulation to Hydroxychloroquine in COVID-19 Patients Using Machine Learning
NA trial testing COViage in COVID-19 in 290 participants. Completed in 4 June 2020.
4 June 2020
Quick facts
| Lead sponsor | Dascena |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 290 |
| Start date | 10 March 2020 |
| Primary completion | 4 June 2020 |
| Estimated completion | 4 June 2020 |
| Sites | 1 location across United States |
Drugs / interventions tested
- COViage
Conditions studied
- COVID-19 — all drugs for COVID-19 →
- Coronavirus — all drugs for Coronavirus →
- Mortality — all drugs for Mortality →
Sponsor
Dascena
Who can join
Eligibility, any sex, with COVID-19 or Coronavirus. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The purpose of this study was to assess the performance of a machine learning algorithm which identifies patients for whom hydroxychloroquine treatment is associated with predicted survival.
Publications & conference data
3 peer-reviewed publications reference this trial (live from Europe PMC):
-
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.
Guo Y, Zhang Y, Lyu T, Prosperi M, et al · · 2021 · cited 20× · PMID 34151987 · DOI 10.1093/jamia/ocab098 -
Cellular and Molecular Immunology Approaches for the Development of Immunotherapies against the New Coronavirus (SARS-CoV-2): Challenges to Near-Future Breakthroughs.
Melgaço JG, Brito E Cunha D, Azamor T, da Silva AMV, et al · · 2020 · cited 10× · PMID 33426096 · DOI 10.1155/2020/8827670 -
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.
Burdick H, Lam C, Mataraso S, Siefkas A, et al · · 2020 · cited 4× · PMID 33256141 · DOI 10.3390/jcm9123834
Verify or expand the search:
- PubMed search for NCT04423991
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of COViage
Trials testing the same drug.
- NCT04358510 — COVID-19 Mortality Prediction Model · completed
- NCT04390516 — Respiratory Decompensation and Model for the Triage of COVID-19 Patients · NA · completed
Other recruiting trials for COVID-19
Currently open trials in the same condition.
- NCT07183709 — Safety and Immunogenicity Trial of PepGNP-COVID19 Vaccine in Adults · Phase 1 · active not recruiting
- NCT07300839 — A Study to Learn About a COVID-19 Vaccine in Healthy Adults 50 Through 64 Years of Age · Phase 3 · active not recruiting
- NCT07221162 — A Safety and Immunogenicity Trial of Boost-2867 Vaccine, Via Intranasal and Intramuscular Routes · Phase 1 · recruiting
- NCT07215520 — Safety and Tolerability of a Newcastle Disease Virus-Based Mucosal COVID-19 Vaccine in Previously Vaccinated Adults · Phase 2 · recruiting
- NCT07222384 — A Study to Learn About BNT162b2 (LP.8.1)-Adapted Vaccine Against SARS-CoV-2 in Children 5 Through 11 Years of Age That A · Phase 3 · active not recruiting
Other Dascena trials
Trials by the same sponsor.
- NCT03734484 — Gram Type Infection-Specific Sepsis Identification Using Machine Learning · Phase 2 · withdrawn
- NCT03752489 — Unsupervised Machine Learning for Clustering of Septic Patients to Determine Optimal Treatment · Phase 2 · unknown
- NCT04005001 — Machine Learning Sepsis Alert Notification Using Clinical Data · Phase 2 · unknown
- NCT04358510 — COVID-19 Mortality Prediction Model · completed
- NCT04358536 — Classification of COVID-19 Infection in Posteroanterior Chest X-rays · completed
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 NCT04423991 (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 Dascena
- Last refreshed: 9 June 2020
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04423991.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing