Evidence map›Paper›PMID 41021138›Full record

ArticleJournal of robotic surgery2025

Transitioning to da Vinci Xi for colorectal cancer surgery: a prospective cohort study of 102 cases from a UK centre with a structured robotic programme.

Samuel Massias, Bhamini Vadhwana, Arian Arjomandi Rad, Lillian Reza, Joshua Franklyn, James Hollingshead, Najib Daulatzai, Vanash Patel

Abstract readEvaluation Study
In one paragraph

Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Samuel MassiasDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
Bhamini VadhwanaDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
Arian Arjomandi RadOxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford, OX3 9DU, UK.
Lillian RezaDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
Joshua FranklynDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
James HollingsheadDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
Najib DaulatzaiDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK.
Vanash PatelDepartment of Surgery, West Hertfordshire Teaching Hospitals NHS Trust, Watford General Hospital, Vicarage Road, Watford, WD18 0HB, UK. vanash.patel06@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated short-term outcomes and learning curves following the introduction of the Intuitive© da Vinci Xi robotic platform for elective colorectal cancer resections at West Hertfordshire Teaching Hospital NHS Trust (WHTH). A smooth transition was enabled by prior experience with the CMR Surgical© Versius platform, with outcomes benchmarked against national data. A prospective cohort study included consecutive patients undergoing elective colorectal resections between April 2024 and March 2025. Data included demographics, diagnosis, operative details, complications, length of stay (LOS), and oncological outcomes. Results were compared with historical laparoscopic data from the National Bowel Cancer Audit (NBOCA, 2019-2022) and Model Health System (MHS, 2024). Learning curves for operative time were assessed using cumulative sum (CUSUM) analysis across three procedures: right hemicolectomy (RH), anterior resection (AR), and abdominoperineal resection (APR).A total of 102 patients were included, with a median age of 69 years (IQR = 60-75), and 54.9% (n = 56) were male. All colonic resections (n = 72) achieved a lymph node yield ≥ 12, significantly higher than the 88.1% in NBOCA (p = 0.001). Among rectal resections (n = 30), 96.7% had negative margins versus 90.1% in NBOCA (p = 0.10). Conversion to open surgery was 3% (n = 3), the anastomotic leak rate was 1% (n = 1), and 4% (n = 4) required a return to theatre. MHS data showed that 13% of all colorectal patients at WHTH had a LOS ≥ 9 days, compared to 29% nationally (p = 0.0001), decreasing to 7.1% in the robotic cohort. CUSUM analysis showed stabilisation after ~ 12 right hemicolectomies and 20 low pelvic resections, with variability among surgeons. Surgeons with prior robotic experience achieved faster proficiency and generated time savings. The successful introduction of the da Vinci Xi platform at WHTH, supported by prior Versius experience, led to excellent oncological outcomes, shorter hospital stays, and low complication rates. These findings highlight the value of structured robotic implementation in advancing colorectal cancer care within the NHS.

Indexed as

ColectomyColorectal NeoplasmsLearning CurveRobotic Surgical ProceduresSurgeonsAgedFemaleHumansMaleMedical AuditMiddle AgedOperative TimeOutcome Assessment, Health CarePostoperative ComplicationsProspective StudiesUnited KingdomColorectal surgeryLearning curvesRobotic assisted surgeryTraining

Identifiers

PMID41021138
PMCPMC12479704

What Socratic holds

Textmetadata
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 Socratic graph.