ClinicalTrials.gov
public full text
Public Domain
Comparison of the Effectiveness and Learning Curve of Laparoscopic Pectopexy Versus Laparoscopic Sacrocolpopexy
Pelvic organ prolapse, particularly apical prolapse, is a common condition among aging women, and laparoscopic sacrocolpopexy is considered the standard surgical treatment due to its high anatomical success. However, it poses technical challenges and risks related to sacral dissection. Laparoscopic pectopexy, a newer technique using the iliopectineal ligament for mesh fixation, offers a safer anatomical route with shorter operative time and fewer complications. The previous studies evaluate the sacrocolpopexy and pectopexy are all retrospective. This study is prospective randomized controlled study that adds Comparison on the success rate and learning curve of pectopexy versus sacrocolpopexy .
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Pectopexy Surgery Without Mesh#1096192
- Prospective Performance Analysis of the Exair(TM) Prolapse Repair System in the Treatment of Pelvic Organ Prolapse#805828
- To Explore the Surgical Outcomes and Safety of an Innovative Laparoscopic Uterine Pectopexy Technique Using Inverted T-meshes for Simultaneous Apical and Anterior Vaginal Repair.#967524
- Comparisons of Clinical Outcomes Between Novel Tailored Transvaginal Mesh Surgery and Vaginal Native Tissue Repair Surgery for Pelvic Organ Prolapse#1212582
- Characteristics Predictive of Pessary Success#883743
Record · ID 1260359
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive