Evidence map›Paper›PMID 39359778›Full record

ArticleAnnals of medicine and surgery (2012)2024

Feasibility, clinical outcomes, and learning curves of robotic-assisted colorectal cancer surgery in a high-volume district general hospital: a cohort study.

Samuel Massias, Bhamini Vadhwana, Arian Arjomandi Rad, James Hollingshead, Vanash Patel

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Samuel MassiasDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital.
Bhamini VadhwanaDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital.
Arian Arjomandi RadOxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford, UK.
James HollingsheadDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital.
Vanash PatelDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital.ORCID https://orcid.org/0000-0002-5535-950X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Robotic-assisted surgery (RAS) is one of the most influential surgical advances with widespread clinical and health-economic benefits. West Hertfordshire Teaching Hospital NHS Trust was the first in the UK to simultaneously integrate two CMR Surgical Versius robots. This study aims to investigate clinical outcomes of RAS, explore surgeon learning curves and assess the feasibility of implementation within a district general hospital (DGH). Methods: A prospective cohort study of 100 consecutive patient data were collected between July 2022 and August 2023, including demographics, operative and clinical variables, and compared with laparoscopic surgery (LS) data from the National Bowel Cancer Audit. Surgeon learning curves were analysed using sequential surgical and console times. Results: In the RAS cohort, the median age was 70 (IQR 57-78 years) and 60% were male. Retrieval of a minimum of 12 lymph nodes significantly increased in RAS compared to LS (95% vs. 88%, Conclusions: Key quality performance indicators were either unchanged or improved with RAS. There is potential for improved theatre utilisation and cost-savings with increased RAS. This study demonstrates the feasibility and easy integration of robotic platforms into DGHs, offering wider training opportunities for the next generation of surgeons.

Indexed as

colorectal surgerylearning curvesrobotic assisted surgerytraining

Identifiers

PMID39359778
PMCPMC11444557

What OpenQuestion holds

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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.