Evidence map›Paper›PMID 35044671›Full record

ArticleJournal of robotic surgery2022

Robot-assisted versus video-assisted thoraco-laparoscopic McKeown's esophagectomy for esophageal cancer: a propensity score-matched analysis of minimally invasive approaches.

Aditya Kulkarni, Jayant Gul Mulchandani, Mohammed Shies Sadat, Nikhitha Shetty, Sanjeev Shetty, M Praveen Kumar, Ashwinikumar Kudari

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In one paragraph

Article in Journal of robotic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 5 pooled it
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 5 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  6. 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

7 authors at 3 institutions in 1 country.

Aditya KulkarniDepartment of Surgical Gastroenterology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Sant Tukaram Nagar, Pimpri Colony, Pimpri-Chinchwad, Pune, Maharashtra, India.
Jayant Gul MulchandaniDepartment of Surgical Gastroenterology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India.
Mohammed Shies SadatDepartment of Surgical Gastroenterology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India.
Nikhitha ShettyDepartment of Surgical Gastroenterology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India.
Sanjeev ShettyDepartment of Surgical Gastroenterology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India.
M Praveen KumarDepartment of Pharmacology, Post-Graduate Institute of Medical Education and Research, Chandigarh, India.
Ashwinikumar KudariDepartment of Surgical Gastroenterology, Mazumdar Shaw Medical Center, Narayana Health City, Bangalore, India. ashwinikudari@gmail.com.ORCID http://orcid.org/0000-0003-0811-8532
Narayana Health · INDr. D. Y. Patil Medical College, Hospital and Research Centre · INPost Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive esophagectomy for esophageal cancer decreases overall complication rate and leads to faster postoperative recovery. Robot-assisted minimally invasive esophagectomy is becoming more common. Its three-dimensional view and wristed instruments may provide advantages over traditional thoraco-laparoscopic techniques. There are limited studies comparing robotic and conventional thoraco-laparoscopic esophagectomy. This study aimed to evaluate short-term outcomes of robot-assisted McKeown esophagectomy (RAME) and video-assisted McKeown esophagectomy (VAME). All consecutive patients undergoing minimally invasive McKeown esophagectomy for middle and distal third esophageal cancer between January 2016 and December 2018 at our center were included in this study. Data on baseline characteristics, pathological data and short-term outcomes were collected in a dedicated database. Postoperative complications were defined as per recommendations of Esophagectomy Complications Consensus Group. Histopathologic assessment was performed as per College of American Pathologists guidelines. Propensity score matching was performed for comparison between RAME and VAME groups using age, gender, performance status, American Society of Anesthesiologists grade, body mass index, Charlson Index, tumor location, clinical tumor stage, and neoadjuvant treatment as covariates. A total of 74 patients were included, 25 of whom underwent RAME and 49 underwent VAME. Propensity score matching on 1:1 basis produced 25 pairs of patients, comparable in terms of baseline characteristics. Total operative time and estimated blood loss was similar between the two groups. Length of hospital stay was significantly lower in RAME group. Major postoperative complications (Clavien-Dindo grade ≥ 3A) were more common in VAME group, but not statistically significant. Median number of harvested lymph nodes and R0 resection rate did not differ in between the two groups. In our experience, robot-assisted McKeown esophagectomy was comparable to video-assisted McKeown esophagectomy in terms of safety, feasibility and oncologic adequacy. Use of the robot was associated with reduced hospital stay. Further randomized controlled studies with larger patient samples are needed to compare the two.

Indexed as

Esophageal NeoplasmsLaparoscopyRoboticsRobotic Surgical ProceduresEsophagectomyHumansMinimally Invasive Surgical ProceduresPostoperative ComplicationsPropensity ScoreRetrospective StudiesTreatment OutcomeEsophageal cancerEsophagectomyMinimally invasive esophagectomyRobot assistedVideo assisted

Identifiers

PMID35044671
OpenAlexW4206329844

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.