Evidence map›Paper›PMID 37436675›Full record

ArticleJournal of robotic surgery2023

Procedure-specific risks of robotic simultaneous resection of colorectal cancer and synchronous liver metastases.

Shannon N Radomski, Sophia Y Chen, Miloslawa Stem, Joy Zhou Done, Chady Atallah, Bashar Safar, Jonathan E Efron, Alodia Gabre-Kidan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Shannon N RadomskiColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA.ORCID http://orcid.org/0000-0002-2923-9096
Sophia Y ChenColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA.ORCID http://orcid.org/0000-0001-6772-8483
Miloslawa StemColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA.ORCID http://orcid.org/0000-0002-0396-4193
Joy Zhou DoneColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA.
Chady AtallahDivision of Colon and Rectal Surgery, Department of Surgery, NYU Langone Health, New York, NY, USA.
Bashar SafarDivision of Colon and Rectal Surgery, Department of Surgery, NYU Langone Health, New York, NY, USA.
Jonathan E EfronColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA.
Alodia Gabre-KidanColorectal Research Unit, Ravitch Division of Colon and Rectal Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Blalock 618, Baltimore, MD, 21287, USA. agabrek1@jhmi.edu.
Johns Hopkins University · USNYU Langone Health · US

Funding

Clinical and Laboratory Research Training for Surgical OncologistsT32CA126607 · NCI · JOHNS HOPKINS UNIVERSITY · PI CAMERON, ANDREW M. · 2008 to 2024
$6.0M
NCI NIH HHS T32 CA126607NIH HHS NCI 5T32CA126607-12
6 · The paper itself

Abstract

An estimated 25% of patients with colorectal cancer (CRC) present with distant metastases at the time of diagnosis, the most common site being the liver. Although prior studies have reported that a simultaneous approach to resections in these patients can lead to increased rates of complications, emerging literature shows that minimally invasive surgical (MIS) approaches can mitigate this additional morbidity. This is the first study utilizing a large national database to investigate colorectal and hepatic procedure-specific risks in robotic simultaneous resections for CRC and colorectal liver metastases (CRLM). Utilizing the ACS-NSQIP targeted colectomy, proctectomy, and hepatectomy files, 1,721 patients were identified who underwent simultaneous resections of CRC and CRLM from 2016 to 2021. Of these patients, 345 (20%) underwent resections by an MIS approach, defined as either laparoscopic (n = 266, 78%) or robotic (n = 79, 23%). Patients who underwent robotic resections had lower rates of ileus compared to those who had open surgeries. The robotic group had similar rates of 30-day anastomotic leak, bile leak, hepatic failure, and post-operative invasive hepatic procedures compared to both the open and laparoscopic groups. The rate of conversion to open (8% vs. 22%, p = 0.004) and median LOS (5 vs. 6 days, p = 0.022) was significantly lower for robotic compared to laparoscopic group. This study, which is the largest national cohort of simultaneous CRC and CRLM resections, supports the safety and potential benefits of a robotic approach in these patients.

Indexed as

Colorectal NeoplasmsLaparoscopyLiver NeoplasmsRobotic Surgical ProceduresColectomyHepatectomyHumansPostoperative ComplicationsRetrospective StudiesTreatment OutcomeColorectal liver metastasesHepatic resectionRobotic surgerySimultaneous resections

Identifiers

PMID37436675
PMCPMC10529917
OpenAlexW4383999253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.