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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT06399081
Other study ID # KY2024-006-02
Secondary ID
Status Completed
Phase
First received
Last updated
Start date December 1, 2023
Est. completion date March 2, 2024

Study information

Verified date May 2024
Source Dalian Medical University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Gangrenous cholecystitis is the most common complication of acute cholecystitis. There is no research using machine learning models to construct predictive diagnostic models for gangrenous cholecystitis.


Description:

This study reviewed the clinical data of 2023 cholecystectomy patients admitted to our center between January 1, 2015, and May 31, 2015, it includes demographic, clinical features, laboratory and imaging indexes, and constructs five commonly used Decision Tree, SVM, Random Forest, XGBoost, AdaBoost models, feature subsets are selected by Recursive Feature Elimination with Cross-Validation and the importance of variables in each model, model performance is evaluated by Balanced accuracy, Recall, Precision, F1score, and the Precision-Recall(PR) curve, and the final results are verified by independent external validation sets.


Recruitment information / eligibility

Status Completed
Enrollment 1006
Est. completion date March 2, 2024
Est. primary completion date March 1, 2024
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: - patients diagnosed with acute cholecystitis or acute exacerbation of chronic cholecystitis in our hospital and receiving complete clinical treatment in our hospital; - performing cholecystectomy; - having complete and searchable clinical data, such as patient's age, surgical records, and hospitalization days. Exclusion Criteria: - previous diagnosis of chronic cholecystitis, this time for elective surgical treatment; - previous diagnosis of acute cholecystitis, ultrasound-guided cholecystectomy after elective laparoscopic cholecystectomy; - concomitant with other acute biliary and pancreatic system-related diseases, such as obstructive jaundice caused by choledochal stones, acute cholangitis, acute pancreatitis, etc.; - exclude patients who combined with other surgery patients such as choledochotomy and lithotripsy, choledochoscopic exploration and lithotripsy, bile-intestinal anastomosis, appendectomy, etc; - those with incomplete data

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Observational
Observational

Locations

Country Name City State
China The Second Hospital of Dalian Medical University Dalian Liaoning

Sponsors (2)

Lead Sponsor Collaborator
Dalian Medical University National Natural Science Foundation of China

Country where clinical trial is conducted

China, 

References & Publications (3)

Borzellino G, Sauerland S, Minicozzi AM, Verlato G, Di Pietrantonj C, de Manzoni G, Cordiano C. Laparoscopic cholecystectomy for severe acute cholecystitis. A meta-analysis of results. Surg Endosc. 2008 Jan;22(1):8-15. doi: 10.1007/s00464-007-9511-6. Epub 2007 Aug 18. — View Citation

Wu B, Buddensick TJ, Ferdosi H, Narducci DM, Sautter A, Setiawan L, Shaukat H, Siddique M, Sulkowski GN, Kamangar F, Kowdley GC, Cunningham SC. Predicting gangrenous cholecystitis. HPB (Oxford). 2014 Sep;16(9):801-6. doi: 10.1111/hpb.12226. Epub 2014 Mar 17. — View Citation

Yacoub WN, Petrosyan M, Sehgal I, Ma Y, Chandrasoma P, Mason RJ. Prediction of patients with acute cholecystitis requiring emergent cholecystectomy: a simple score. Gastroenterol Res Pract. 2010;2010:901739. doi: 10.1155/2010/901739. Epub 2010 Jun 8. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary pathological diagnosis of patients with cholecystectomy Check the patient's pathological report and whether the pathological description contains phenomena such as full layer ischemic necrosis and ulceration of the gallbladder wall. Diagnose as gangrenous cholecystitis or non-gangrenous cholecystitis. 30 days
Primary The predictive performance of diagnostic prediction models The predictive diagnosis was obtained by the model and each predictive variable, and the metric (Accuracy, Recall, Precision, F1score) of the model was obtained by comparing with the actual pathological diagnosis. through study completion, an average of 4 months
Secondary WBC value (10*9/L) Correlation between WBC and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
Secondary Alanine transaminase value (ALT, U/L) Correlation between liver function and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
Secondary D-dimer value Correlation between coagulopathy and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
Secondary Fibrinogen value (g/L) Correlation between coagulopathy and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
Secondary BMI (Kg/m2) Correlation between obesity level and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
Secondary Gallbladder wallness (cm) Correlation between Gallbladder wallness and patients with gangrenous cholecystitis and non-gangrenous cholecystitis through study completion, an average of 4 months
See also
  Status Clinical Trial Phase
Completed NCT03754751 - Enhanced Recovery in Laparoscopic Cholecystectomy N/A