Prediction of Intra-abdominal Infectious Complication by Drainage Fluid Analysis
NCT ID: NCT03862378
Last Updated: 2019-06-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
100 participants
OBSERVATIONAL
2019-01-01
2021-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Prediction of Abdominal Complications After GastroEnterological Surgery
NCT03828266
The Relationship Between Drainage Fluid and Anastomotic Leakage After Colorectal Cancer Surgery
NCT05191602
Predictive Value of Procalcitonin, CRP, Drain Fluid Culture, Il-6 and Tnf-α in Anastomotic Leakage
NCT02361918
Bacteriology of sUrGical Site INfection Following Surgery for Intestinal Failure
NCT05234515
Near-Infrared Fluorescence Imaging With Indocyanine Green to Evaluate Bowel Anastomoses in Gynecologic Oncology Surgery
NCT06871787
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
In this study, all patients undergoing gastric or colorectal cancer surgery with a primary anastomosis will be included. The clinical data and complication data will be prospectively collected; the discarded drainage fluid will be collected and analyzed afterward. No additional intervention will be applied.
The cytokine levels in the drainage fluid will be evaluated, and together with the clinical data, an APPEAL-GC score will be created for each patient. We will investigate whether the above-mentioned score is able to predict the intraabdominal complications after surgery. The predictive value (clinical usefulness) of the score will be validated in this study.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Group One
All patients underwent gastric or colorectal cancer surgery in the participating centers will be included. Clinical data, drainage cytokine levels will be recorded.
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Inform consent signed before surgery.
Exclusion Criteria
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Peking University
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Ziyu Li, MD
Professor
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Ziyu Li, MD PhD
Role: PRINCIPAL_INVESTIGATOR
Peking University Cancer Hospital & Institute
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Peking University Cancer Hospital & Institute
Beijing, Beijing Municipality, China
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2016YJZ32
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.