High versus low take‐off rectal prolapse: Outcomes of tailored surgery

This first clinical validation of the high/low take-off concept demonstrates phenotype-specific differences in radiology, symptoms, and surgical outcomes. Tailoring surgery to prolapse phenotype may reduce recurrence and guide personalised operative planning. Prospective, multicentre studies with quality-of-life outcomes are warranted.

Authors

Institutions

Publication Details

Journal
Colorectal Disease
Published
2025-12-01
DOI
https://doi.org/10.1111/codi.70330
Primary Topic
Pelvic floor disorders treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High versus low take‐off rectal prolapse: Outcomes of tailored surgery

Nicola Davies, Mohit Satish Gupta, Andrew Clarke, Usman Mateen
Colorectal Disease
Pelvic floor disorders treatments
article

High versus low take‐off rectal prolapse: Outcomes of tailored surgery

Nicola Davies, Mohit Satish Gupta, Andrew Clarke, Usman Mateen
article en

Abstract

This first clinical validation of the high/low take-off concept demonstrates phenotype-specific differences in radiology, symptoms, and surgical outcomes. Tailoring surgery to prolapse phenotype may reduce recurrence and guide personalised operative planning. Prospective, multicentre studies with quality-of-life outcomes are warranted.

Colorectal DiseaseVol. 27(12)
Dorset County Hospital NHS Foundation Trust (GB), Poole Hospital (GB), Poole Hospital NHS Foundation Trust (GB)
Openalex Percentile: Top 44%
Pelvic floor disorders treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.