Title

Evaluating opioid and analgesic regimens for post-operative pain management in gynecological surgery: A comparative study

Authors

Ashis Tiwari¹, Shambhavi Soni² & Pradeep Rathore^3,*

Affiliation

¹Department of General Medicine, Government Medical College, Datia, Madhya Pradesh, India; ²Department of Obstetrics and Gynaecology, Government Medical College, Datia, Madhya Pradesh, India; ³Department of General Surgery, Government Medical College, Datia, Madhya Pradesh, India; *Corresponding author

Email

Ashis Tiwari - E-mail: ashishtiwari.gwldr@gmail.com; Phone: +91 6263218871
Shambhavi Soni - E-mail: drshambhavisoni@gmail.com; Phone: +91 9088088252
Pradeep Rathore - E-mail: Prathore663@gmail.com; Phone: +91 8463044344

Article Type

Research Article

Date

Received May 1, 2026; Revised May 31, 2026; Accepted May 31, 2026, Published May 31, 2026

Abstract

Effective post-operative pain control remains a crucial component of recovery following gynecological surgery, with opioid-related adverse effects posing significant clinical challenges. Multimodal analgesia, integrating multiple drug classes acting through different mechanisms, offers a promising approach to enhance pain relief while reducing opioid dependency. Hence, this prospective comparative study included 150 patients undergoing elective gynecological surgeries divided into two groups: Group A received opioid-based analgesic regimens and Group B was treated using multimodal analgesia combining opioids and non-opioid agents. Pain intensity was assessed at scheduled post-operative intervals using the Visual Analog Scale (VAS), alongside documentation of adverse effects. Thus, we show that multimodal analgesic regimens provide safer and more effective post-operative analgesia than traditional opioid-based approaches for gynecological surgical patients.

Keywords

Post-operative pain, gynecological surgery, opioid analgesics, multimodal analgesia, pain management, visual analog scale (VAS)

Citation

Tiwari et al. Bioinformation 22(5): 3148-3153 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.