Evidence map›Paper›PMID 38480565›Full record

SynthesisAnnals of surgical oncology2024

Is Robotic Surgery the Future for Resectable Esophageal Cancer?: A Systematic Literature Review of Oncological and Clinical Outcomes.

Nikhil Manish Patel, Pranav Harshad Patel, Kai Tai Derek Yeung, David Monk, Borzoueh Mohammadi, Muntzer Mughal, Ricky Harminder Bhogal, William Allum, Nima Abbassi-Ghadi, Sacheen Kumar

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Nikhil Manish PatelDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
Pranav Harshad PatelDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
Kai Tai Derek YeungDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
David MonkDepartment of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK.
Borzoueh MohammadiDepartment of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK.
Muntzer MughalDepartment of Upper Gastrointestinal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic London Hospital, London, UK.
Ricky Harminder BhogalDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
William AllumDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK.
Nima Abbassi-GhadiDepartment of Upper GI Surgery, Royal Surrey NHS Foundation Trust, Guildford, Surrey, UK.
Sacheen KumarDepartment of Upper GI Surgery, The Royal Marsden NHS Foundation Trust, London, UK. Sacheen.kumar@rmh.nhs.uk.
Cleveland Clinic London · GBInstitute of Cancer Research · GBRoyal Marsden NHS Foundation Trust · GBImperial College London · GBRoyal London Hospital · GBRoyal Surrey NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadical esophagectomy for resectable esophageal cancer is a major surgical intervention, associated with considerable postoperative morbidity. The introduction of robotic surgical platforms in esophagectomy may enhance advantages of minimally invasive surgery enabled by laparoscopy and thoracoscopy, including reduced postoperative pain and pulmonary complications. This systematic review aims to assess the clinical and oncological benefits of robot-assisted esophagectomy.

methodsA systematic literature search of the MEDLINE (PubMed), Embase and Cochrane databases was performed for studies published up to 1 August 2023. This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols and was registered in the PROSPERO database (CRD42022370983). Clinical and oncological outcomes data were extracted following full-text review of eligible studies.

resultsA total of 113 studies (n = 14,701 patients, n = 2455 female) were included. The majority of the studies were retrospective in nature (n = 89, 79%), and cohort studies were the most common type of study design (n = 88, 79%). The median number of patients per study was 54. Sixty-three studies reported using a robotic surgical platform for both the abdominal and thoracic phases of the procedure. The weighted mean incidence of postoperative pneumonia was 11%, anastomotic leak 10%, total length of hospitalisation 15.2 days, and a resection margin clear of the tumour was achieved in 95% of cases.

conclusionsThere are numerous reported advantages of robot-assisted surgery for resectable esophageal cancer. A correlation between procedural volume and improvements in outcomes with robotic esophagectomy has also been identified. Multicentre comparative clinical studies are essential to identify the true objective benefit on outcomes compared with conventional surgical approaches before robotic surgery is accepted as standard of practice.

Indexed as

Esophageal NeoplasmsEsophagectomyPostoperative ComplicationsRobotic Surgical ProceduresHumansLaparoscopyPrognosisClinical outcomesEsophageal cancerEsophagectomyLymphadenectomyMinimally invasive surgeryOncological outcomesPerioperative therapyRobotic surgery

Identifiers

PMID38480565
PMCPMC11164768
OpenAlexW4392764029

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.