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NCT06842927: DETECT-PD
Dialysis Efficiency and Transporter Evaluation Computational Tool in Peritoneal Dialysis
trial testing data collection in End-Stage Kidney Disease in 350 participants. Enrolling by invitation.
28 February 2026
Quick facts
| Lead sponsor | Tuen Mun Hospital |
|---|---|
| Status | ENROLLING BY INVITATION |
| Study type | OBSERVATIONAL |
| Enrollment | 350 |
| Start date | 3 March 2025 |
| Primary completion | 28 February 2026 |
| Estimated completion | 31 March 2026 |
| Sites | 1 location across Hong Kong |
Drugs / interventions tested
- data collection — full drug profile →
- data report — full drug profile →
Conditions studied
- End-Stage Kidney Disease — all drugs for End-Stage Kidney Disease →
- End Stage Renal Disease (ESRD) — all drugs for End Stage Renal Disease (ESRD) →
- End Stage Renal Disease on Dialysis (Diagnosis) — all drugs for End Stage Renal Disease on Dialysis (Diagnosis) →
- End Stage Renal Failure on Dialysis — all drugs for End Stage Renal Failure on Dialysis →
Sponsor
Tuen Mun Hospital
Who can join
18 and older, any sex, with End-Stage Kidney Disease or End Stage Renal Disease (ESRD). Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this prospective diagnostic test (correlation) study is to develop and investigate the performance of artificial intelligence in predicting peritoneum transporter status and dialysis efficiency in adult patients undergoing peritoneal dialysis (PD). The main questions it aims to answer are: Can artificial intelligence predict peritoneal transporter status based on simple clinical and biochemical measurements? Can artificial intelligence predict dialysis adequacy (Kt/V) using these features? Researchers will compare the performance of the AI model with the gold standard Peritoneal Equilibration Test (PET) and Kt/V to evaluate its accuracy and reliability. Participants will: Provide peritoneal dialysate and spot urine samples for biochemical analysis. Undergo routine dialysis adequacy and peritoneal equilibration testing (PET). Have clinical and laboratory data collected for AI model training and validation. The study will recruit approximately 350 peritoneal dialysis patients, with 280 participants in the training/validation arm and 70 participants in the test arm. The study duration is 12 months following enrollment.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06842927
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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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 NCT06842927 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Tuen Mun Hospital
- Last refreshed: 9 April 2025
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/NCT06842927.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing