Purpose: This study compares the cost-effectiveness of open, laparoscopic (LAP), laparoscopic-assisted (LAPA), hand-assisted laparoscopic (HAL), and robotic colorectal surgery using a network meta-analysis.

Methods: Randomized clinical trials (RCTs) evaluating the cost-effectiveness of comparing the five different approaches in colorectal surgery were included in a literature search until September 2022. Bayesian network meta-analysis was conducted, and surface under cumulative ranking area (SUCRA) values, odds ratio (OR), and 95% credible intervals (CrIs) were reported for total costs, surgical costs, operating time, length of stay (LOS), and postoperative outcomes. Cluster analysis was performed to examine the similarity and classification of surgical approaches into homogeneous clusters. The cophenetic correlation coefficient (cc) was evaluated to identify the most cost-effective clustering method. The primary outcomes assessed were: costs-morbidity, costs-mortality, and costs-efficacy, measuring total costs against postoperative complications, mortality rate, and LOS, respectively.

Results: 22 RCTs with 4239 patients were included. Open surgery had the lowest total costs, surgical costs, and operating time but the longest LOS and most postoperative complications. LOS was significantly decreased in LAP compared to open surgery (OR 0.67, 95% CrI 0.46-0.96). Robotic surgery resulted in the highest total costs, surgical costs, and most extended operative duration but the shortest LOS and lowest mortality. LAPA and robotic surgery were superior in the costs-morbidity analysis. HAL was associated with the worst costs-mortality profile. LAP, LAPA, and HAL were better in terms of costs-efficacy.

Conclusion: Overall, LAP and LAPA are the most cost-effective approaches for colorectal surgery in terms of overall postoperative complications, mortality, and LOS.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00384-023-04361-5DOI Listing

Publication Analysis

Top Keywords

colorectal surgery
16
total costs
16
approaches colorectal
12
costs surgical
12
surgical costs
12
postoperative complications
12
surgery
8
bayesian network
8
network meta-analysis
8
randomized clinical
8

Similar Publications

Background: Prediction of open-close and long-term outcome is challenging in patients undergoing cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC). Prognostic scores often include factors not known at baseline. Therefore, we aimed to analyze whether patterns of preoperative tumor markers could aid in prediction of open-close surgery and outcome in patients with pseudomyxoma peritonei (PMP) or colorectal peritoneal metastases (PM).

View Article and Find Full Text PDF

Background: Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIPEC) can complicate postoperative assessment of infection. This study aimed to develop a machine-learning model to predict postoperative infection after cytoreductive surgery (CRS) and HIPEC with splenectomy.

Methods: The study enrolled patients in the national TriNetX database and at the Johns Hopkins Hospital (JHH) who underwent splenectomy during CRS/HIPEC from 2010 to 2024.

View Article and Find Full Text PDF

In this article, we aim to demonstrate that thyroid carcinoma can metastasize to the small bowel. This case report involves a 66-year-old woman who underwent total thyroidectomy surgery in 2019, with histopathology revealing a 3A undifferentiated thyroid cancer. She presented with symptoms of bowel obstruction, including abdominal pain, nausea, and vomiting.

View Article and Find Full Text PDF

Aim: Lymphovascular invasion (LVI) is a well-known risk factor in colorectal cancer that is associated with a worse prognosis. The present study aimed to assess the characteristics of patients with LVI-positive colon cancer according to the status of nodal metastases and to study the association between LVI-nodal status and survival.

Method: This retrospective study assessed the association between LVI and lymph node metastases in colon cancer, using data from the National Cancer Database.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!