[Decision analysis in therapeutic strategies for small bowel obstructions]

Area of Science:

• Medical Decision Making
• Surgical Gastroenterology
• Health Services Research

Background:

• Small bowel obstruction (SBO) presents complex therapeutic challenges.
• Optimal management strategies require careful consideration of various clinical factors and patient outcomes.
• Clinical decision analysis offers a quantitative framework for evaluating treatment options.

Purpose of the Study:

• To apply clinical decision analysis to therapeutic decision-making in different types of small bowel obstruction.
• To identify the most effective treatment strategies based on specific utility values (e.g., mortality, morbidity, hospital stay, recurrence, survival).

Main Methods:

• Decision analysis modeling was employed for three SBO scenarios: strangulation obstruction, adhesive obstruction, and obstruction due to recurrent intraabdominal cancer.
• Various treatment strategies, including immediate surgery, observation, conservative management, and diagnostic imaging-guided approaches, were evaluated.
• Utility values such as mortality rate, morbidity rate, duration of hospital stay, rate of intestinal necrosis, recurrence rate, obstruction resolution, and survival duration were systematically assessed.

Main Results:

• For strangulation obstruction, ultrasonography-guided decisions were optimal for mortality, morbidity, and hospital stay, while immediate surgery was preferred for preventing intestinal necrosis.
• For adhesive obstructions, enteroclysis (infusion contrast radiography) minimized morbidity and hospital stay, whereas immediate surgery was favored to reduce recurrence.
• For cancer-related obstructions, surgery improved obstruction resolution and survival duration compared to conservative treatment.

Conclusions:

• Clinical decision analysis provides a valuable quantitative method for optimizing therapeutic strategies in small bowel obstruction.
• The most effective treatment approach for SBO is contingent upon the specific type of obstruction and the prioritized clinical outcome or utility value.
• This analytical framework supports evidence-based decision-making in complex surgical scenarios.