Construction of a Predictive Model of Gangrenous Cholecystitis Based on Machine Learning

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1006 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-01

Study Completion Date

2024-03-02

Brief Summary

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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.

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Detailed Description

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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.

Conditions

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Gangrenous Cholecystitis

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Gangrenous cholecystitis

Defined based on intraoperative findings or pathological diagnosis

Observational

Intervention Type OTHER

Observational

Non-gangrenous cholecystitis

Non-gangrenous cholecystitis, such as chronic cholecystitis, acute cholecystitis, acute attack of chronic cholecystitis

Observational

Intervention Type OTHER

Observational

Interventions

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Observational

Intervention Type OTHER

Eligibility Criteria

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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

Eligible Sex

ALL

Accepts Healthy Volunteers

No