Loco-Regional Anaesthesia during Standing Laparoscopic Ovariectomy in Equids: A Systematic Review (2003-2023) of the Literature.
Giada GiambroneGiuseppe CatoneGabriele MarinoEnrico GugliandoloRenato MiloroCecilia VulloPublished in: Animals : an open access journal from MDPI (2024)
Laparoscopic ovariectomy is generally performed with equids in the standing position, with the animals heavily sedated and restrained in stocks. This procedure may be quite painful, and it is essential first to manage intraoperative pain to complete the surgery, respecting the animal's welfare and, at the same time, ensuring the safety of the operators. Laparoscopy requires multiple small incisions to introduce the instruments, with one to two incisions enlarged sufficiently to remove the ovary. The surgical procedure must be associated with effective pain control, usually obtained with loco-regional anaesthesia, mesovarian injection, mesovaric or ovarian topical anaesthesia, and epidural anaesthesia. This systematic review aims to discuss articles published from 2003 to 2023 on treating loco-regional anaesthesia in standing laparoscopic ovariectomy in association with an evaluation of pain. The literature review was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines on three databases (NCBI-PubMed, Web of Science, and SciVerse Scopus). Despite the collected papers numbering 36, we identified only five eligible papers, demonstrating that few studies are performed in order to evaluate the quality of analgesia with loco-regional anaesthesia in standing laparoscopic ovariectomy in equids. The authors of this systematic review agree that the association of injectable and epidural anaesthesia is the best solution to manage intraoperative pain in standing laparoscopic ovariectomy in equids.
Keyphrases
- systematic review
- robot assisted
- meta analyses
- chronic pain
- pain management
- minimally invasive
- bone loss
- neuropathic pain
- spinal cord
- public health
- randomized controlled trial
- coronary artery disease
- machine learning
- patients undergoing
- acute coronary syndrome
- quality improvement
- case report
- adverse drug
- coronary artery bypass
- big data
- artificial intelligence
- clinical practice
- atrial fibrillation
- hyaluronic acid
- percutaneous coronary intervention
- surgical site infection