Evidence map›Paper›PMID 42104446›Full record

SynthesisWorld journal of emergency surgery : WJES2026

Robotic surgery in colorectal emergencies: a systematic review of current evidence.

Serena Curia, Christophe Taoum, Guglielmo Niccolò Piozzi, Diana Ronconi Di Giuseppe, Abhijeet Beniwal, Sentilnathan Subramaniam, Fausto Catena, Micaela Piccoli, Jim S Khan

Abstract readSystematic Review
In one paragraph

Synthesis in World journal of emergency surgery : WJES, 2026. 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. Review
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

9 authors.

Serena CuriaDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0009-0005-6339-4574
Christophe TaoumDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0000-0002-7401-331X
Guglielmo Niccolò PiozziDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0000-0001-6667-9202
Diana Ronconi Di GiuseppeDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0000-0002-5533-4548
Abhijeet BeniwalDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0000-0001-7184-273X
Sentilnathan SubramaniamDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK.ORCID http://orcid.org/0000-0002-9619-5054
Fausto CatenaDepartment of General, Emergency, and Trauma Surgery, "M. Bufalini" Hospital, Cesena, Italy.ORCID http://orcid.org/0000-0001-6828-9339
Micaela PiccoliDepartment of General, Emergency Surgery and New Technologies, Baggiovara General Hospital, Azienda Ospedaliero Universitaria Di Modena, Modena, Italy.ORCID http://orcid.org/0000-0003-0930-6770
Jim S KhanDepartment of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Queen Alexandra Hospital, Southwick Hill Road, Cosham, Portsmouth, PO6 3LY, UK. jim.khan2@nhs.net.ORCID http://orcid.org/0000-0002-3031-4495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough laparoscopy continues to be the predominant minimally invasive approach in most emergency settings, the advantages of robotics, well established in elective surgery, are currently being explored in selected scenarios and specialized centres.

methodsA systematic review was conducted using PubMed, Cochrane Library and Scopus databases until January 2025. Primary outcome was safety and feasibility of robotics in emergency colorectal surgery. Secondary endpoints included perioperative and postoperative outcomes.

resultsFifteen articles were included with a total of 46 robotic emergency colorectal surgical procedures. Most were performed in a tertiary centre with a da Vinci system. Most common procedures were robotic right hemicolectomy for colon cancer and sigmoid colectomy for acute diverticulitis. Mean operating time for robotic right hemicolectomy was 134 min for benign cases and 241 ± 7 min for malignant cases; robotic sigmoid colectomy showed a mean operating time of 171 ± 3 min. No intraoperative complications were recorded. One case required conversion. Intracorporeal anastomosis was performed in most cases (n = 13). Mean length of stay was 5 days. No Clavien-Dindo grade ≥ 3 complications, reoperation or readmission were reported. Five complete mesocolic excisions (CMEs) were performed. Pathology outcomes were available for four CMEs: showing R0 resection with a mean lymph node harvest of 54 ± 13. In four CMEs, the involved team included an on-call robotic colorectal surgeon and an experience theatre team including experienced anaesthetist in robotic procedures.

conclusionsRobotics in emergency settings is feasible and safe but requires additional training and dedicated teams for optimal outcomes.

Indexed as

Robotic Surgical ProceduresColectomyColorectal Surgical ProceduresEmergenciesHumansOperative TimeColorectal cancerColorectal emergenciesColorectal surgeryDiverticular diseaseEmergency surgeryRobotic

Identifiers

PMID42104446
PMCPMC13321731

What OpenQuestion 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 OpenQuestion graph.