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NCT06684340
Risk Factors Identification of Sepsis and Septic Shock After Major Abdominal Surgery Based on Artificial Intelligence
trial testing Exposure to major abdominal surgery in Sepsis in 22,646 participants. Completed in 31 July 2024.
30 June 2024
Quick facts
| Lead sponsor | Xinhua Hospital, Shanghai Jiao Tong University School of Medicine |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 22,646 |
| Start date | 1 January 2014 |
| Primary completion | 30 June 2024 |
| Estimated completion | 31 July 2024 |
Drugs / interventions tested
- Exposure to major abdominal surgery
Conditions studied
- Sepsis — all drugs for Sepsis →
- Postoperative Complications — all drugs for Postoperative Complications →
Sponsor
Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Who can join
18 and older, any sex, with Sepsis or Postoperative Complications. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational study is to identify the risk factors and build the early warning system of sepsis and septic shock after major abdominal surgery based on artificial intelligence. The main questions it aims to answer are: What are the high risk factors of postoperative sepsis? Which factors can accelerate the progression of sepsis? Researchers will collect perioperative characteristics to construct predictive models of postoperative sepsis in a retrospective abdominal surgical population based on artificial intelligence, and the accuracy of the models were tested in an external dataset.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT06684340
- 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 NCT06684340 (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 Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
- Last refreshed: 12 November 2024
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/NCT06684340.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing