Evidence map›Paper›PMID 41487868›Full record

ArticleCureus2025

Robotic Rectopexy: A Single-Centre Experience.

Anil Kumar, Raheel Anis, Sajal Rai, Maria Javid, Madan Palliyil

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Totally Extramucosal Hand-Sewn Robotic Gastrojejunostomy for Roux-en-Y Gastric Bypass.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anil KumarColorectal and General Surgery, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, GBR.
Raheel AnisGeneral Surgery, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, GBR.
Sajal RaiColorectal and General Surgery, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, GBR.
Maria JavidGeneral Surgery, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, GBR.
Madan PalliyilGeneral Surgery, Stepping Hill Hospital, Stockport NHS Foundation Trust, Stockport, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims Rectal prolapse and rectocele are socially and psychologically debilitating conditions. While laparoscopic rectopexy has improved outcomes over open surgery, it faces limitations in pelvic access, mesh positioning, and suturing. Robotic-assisted rectopexy may overcome these challenges through enhanced visualisation and manoeuvrability. This study presents a single-centre experience of robotic rectopexy. Methods A retrospective review was conducted at Stepping Hill Hospital, Stockport, UK, from 2019-2024. Data collected included operative time, intra- and postoperative complications, analgesia requirement and length of stay. Results Twenty-one patients underwent robotic rectopexy. The mean operative time was three hours and 18 minutes. No conversions or intraoperative complications were observed. All patients were managed with simple analgesia. Fifteen (71.4%) were discharged on post-operative day (POD) 1, four patients on POD 2 and two patients were discharged later (POD >3). The mean hospital stay was 1.6 days. Two patients had small postoperative collections managed conservatively. One recurrence was observed on follow-up. Conclusions Robotic rectopexy is a safe and effective technique for rectal prolapse, demonstrating minimal complications and short hospital stays. Further research is warranted to assess long-term outcomes.

Indexed as

intracorporeallaparoscopyrectal prolapserectopexyrobotic

Identifiers

PMID41487868
PMCPMC12758833

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.