Evidence map›Paper›PMID 39974228›Full record

ReviewCureus2025

A Review of the Current Trends and Future Perspectives of Robots in Colorectal Surgery: What Have We Got Ourselves Into?

Reda H Mithany, Amarah Shaikh, Sreedutt Murali, Ahmad Rafique, Peter S Bebawy, Prashant Girijavallabhan Nair, Wafaa Ramadan, Momen Abdelglil, Aayush Gupta, Md Abu Sayed and 1 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. 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

11 authors.

Reda H MithanyLaparoscopic Colorectal Surgery, Kingston Hospital NHS Foundation Trust, Kingston Upon Thames, GBR.
Amarah ShaikhGeneral Surgery, Kingston Hospital NHS Foundation Trust, Kingston Upon Thames, GBR.
Sreedutt MuraliColorectal Surgery, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, GBR.
Ahmad RafiqueGeneral and Colorectal Surgery, Torbay and South Devon NHS Foundation Trust, Torquay, GBR.
Peter S BebawySchool of Medicine, Menya University, Menya, EGY.
Prashant Girijavallabhan NairGeneral Surgery, Friarage Hospital, North Yorkshire, GBR.
Wafaa RamadanSurgery, Hillingdon Hospital, Uxbridge, GBR.
Momen AbdelglilPediatric Surgery, Mansoura University Children Hospital, Mansoura, EGY.
Aayush GuptaColorectal Surgery, Torbay Hospital, Torbay, GBR.
Md Abu SayedGeneral Surgery, University Hospital Coventry and Warwickshire NHS Trust, Coventry, GBR.
Mohamed IsmaielColorectal Surgery, The James Cook University Hospital, Middlesbrough, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic colorectal surgery represents a significant advancement in the management of complex colorectal conditions, offering enhanced precision, safety, and improved patient outcomes. It is widely utilised for colorectal cancer, inflammatory bowel disease, diverticular disease, and rectal prolapse, with key benefits such as 3D visualisation, superior dexterity, and precise navigation in confined spaces. These advantages contribute to lower conversion rates to open surgery, faster recovery, reduced pain, and shorter hospital stays. This narrative review analysed recent peer-reviewed literature, focusing on technological advancements, clinical outcomes, and emerging challenges in robotic colorectal surgery. Findings highlight improved oncological precision, faster recovery, and fewer complications, driven by innovations like AI-guided decision-making and advanced robotic platforms. However, issues such as prolonged operative times, high costs, and steep learning curves remain. Future efforts should prioritise integrating AI, enhancing surgeon training, and addressing cost barriers to maximise the potential of robotic colorectal surgery in improving patient care.

Indexed as

advancesartificial intelligence (ai) in surgeryclinical outcomescolorectal cancerrobotic surgery

Identifiers

PMID39974228
PMCPMC11836634

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.