Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine Anastomosis in Psychiatric and Non-psychiatric Patient Collectives (P-Study)
NCT ID: NCT05257863
Last Updated: 2023-05-09
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
10000 participants
OBSERVATIONAL
2022-05-01
2023-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Furthermore, we aim to investigate the impact of preoperative Risk factors, psychiatric and psychosomatic diseases on the outcomes of colorectal surgery and the complications after colorectal surgeries like anastomosis insufficiency via predictive modeling techniques
The service mentioned above will be publicly available as a web-based application
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
The Prediction of Anastomotic Insufficiency Risk After Colorectal Surgery (PANIC) Study
NCT04985981
Prediction of Postoperative Outcomes After Rectal Resection by the Comprehensive Complication Index (CCI)
NCT07037693
Lateral Invagination of the Colorectal Anastomosis by Double Stapling
NCT04553250
Evaluation of the Introduction of a Colorectal Bundle in Left Sided Colorectal Resections
NCT04550156
Intestinal Microbiota and Postoperative Ileus After Colorectal Surgery
NCT05512741
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
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
RETROSPECTIVE
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Neoplasia,
* Diverticulitis
* Mesenteric ischemia
* Iatrogenic or traumatic perforation
* Inflammatory bowel disease
Exclusion Criteria
* Patients suffering from recurrent colorectal cancer bearing
* Peritoneal carcinomatosis or unresectable metastatic disease at the time of bowel resection and anastomosis will be excluded.
* Patients who cannot be followed up on for more than six weeks after surgery
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of Basel
OTHER
University of Hamburg-Eppendorf
OTHER
Dr. Med Anas Taha
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr. Med Anas Taha
Research Fellow
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University of Basel
Basel, , Switzerland
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.
P-Study
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.