Preoperative predictions of severe postoperative pain in the patients who underwent cholecystectomy: A systematic review and meta-analysis


GÜVEN S., AZİZOĞLU H., ETİ ASLAN F.

Medical Science and Discovery Journal, cilt.10, sa.3, ss.118-124, 2023 (Hakemli Dergi)

Özet

Objective: The present study aims to investigate the impact of preoperative pain predictions on postoperative pain evaluation in patients who underwent cholecystectomy surgery. Pain is a frequently reported complaint following cholecystectomy, and understanding the factors that contribute to pain perception can help improve patient outcomes. Therefore, the study seeks to identify any potential preoperative predictors of pain that may affect postoperative pain evaluation.


Materials and Method: A literature review was conducted between 2012 and 2022 using various combinations of keywords such as "postoperative pain," "postoperative pain management," "cholecystectomy," and "preoperative pain prediction." The inclusion criteria for the study were articles published in peer-reviewed national or international journals in Turkish or English that examined preoperative pain predictors for patients who experienced severe postoperative pain.


Results: In the meta-analysis study, nine databases were searched, resulting in 7151 articles. However, only three full-text articles met the inclusion criteria and were included in the analysis. The combined results of these studies showed that the preoperative prediction rate of postoperative pain was 32%, the rate of postoperative pain without any symptoms in the preoperative period was 33%, and the preoperative prediction rate of post-laparoscopic pain was 38%. It was found that the rate of pain prediction after classical surgery was 15%, while the rate of pain prediction for surgeries lasting less than 30 minutes was 37%, and for surgeries lasting more than 30 minutes, it was 38%.


Conclusion: The preoperative prediction of the factors causing pain is an important component of effective pain management and enhancement of patient care quality.