Clinical trial · Observational
Study on the Construction and Application of a Large Model Corpus for Pancreatic Cancer Based on Real Clinical Cases
NCT07713823CI-TRIAL-00118681not yet recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Combining retrospective observational research with artificial intelligence data engineering. Collecting historical electronic medical record data, and through data governance and annotation by artificial medical experts, constructing a structured knowledge base.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pancreatic Cancer | Malignant Pancreatic Neoplasm | CURATED_EXACT | 0.92 |
| Pancreatic Cancer Metastatic | — | UNRESOLVED | — |
| Pancreatic Cancer Non-resectable | — | UNRESOLVED | — |
| Pancreatic Cancer Resectable | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- 3,000 Cases of Pancreatic Cancer Diagnosis and Treatment
- timeFrame
- May 2028
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Real inpatient cases of pancreatic cancer diagnosis and treatment; 2. Prioritize the inclusion of cases with MDT discussion records, difficult and complex cases, and fatal cases; 3. Possess complete electronic medical information (including but not limited to: outpatient medical records, inpatient medical records including admission records, progress notes, surgery/procedure records, nursing records, examination and test reports, doctor's orders, discharge/death records, etc.); - Exclusion Criteria: 1. Cases that only underwent a brief transition in emergency/outpatient departments and did not form a closed loop of diagnosis and treatment; 2. Cases with incomplete diagnosis and treatment information and missing key indicators.
References
Publications (0)
Data not yet available
No reference posted for this study.