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

D

Dalian Medical University

Status

Completed

Conditions

Gangrenous Cholecystitis

Treatments

Other: Observational

Study type

Observational

Funder types

Other

Identifiers

NCT06399081
KY2024-006-02

Details and patient eligibility

About

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.

Full 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.

Enrollment

1,006 patients

Sex

All

Volunteers

No Healthy Volunteers

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

Trial design

1,006 participants in 2 patient groups

Gangrenous cholecystitis
Description:
Defined based on intraoperative findings or pathological diagnosis
Treatment:
Other: Observational
Non-gangrenous cholecystitis
Description:
Non-gangrenous cholecystitis, such as chronic cholecystitis, acute cholecystitis, acute attack of chronic cholecystitis
Treatment:
Other: Observational

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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