Evidence map›Paper›PMID 37620649›Full record

ArticleSurgical endoscopy2023

National trends and feasibility of a robotic surgical approach in the management of patients with inflammatory bowel disease.

Shannon N Radomski, Miloslawa Stem, Michael Consul, Jay Rammohan Maturi, Haniee Chung, Susan Gearhart, Ada Graham, Vincent J Obias

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

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
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 at 2 institutions in 1 country.

Shannon N RadomskiColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Miloslawa StemColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael ConsulColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jay Rammohan MaturiColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Haniee ChungColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Susan GearhartColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ada GrahamColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Vincent J ObiasColorectal Research Unit, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. vobias1@jhu.edu.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Clinical and Laboratory Research Training for Surgical OncologistsT32CA126607 · NCI · JOHNS HOPKINS UNIVERSITY · PI CAMERON, ANDREW M. · 2008 to 2024
$6.0M
NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA126607
6 · The paper itself

Abstract

backgroundResearch on the utilization of robotic surgical approaches in the management of inflammatory bowel disease (IBD) is limited. The aims of this study were to identify temporal trends in robotic utilization and compare the safety of a robotic to laparoscopic operative approach in patients with IBD.

methodsPatients who underwent minimally invasive surgery (MIS) for IBD were identified using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database (2013-2021). Temporal trends of robotic utilization were assessed from 2013 to 2021. Primary (30-day overall and serious morbidity) and secondary (unplanned conversion to open) outcomes were assessed between 2019 and 2021, when robotic utilization was highest. Multivariable logistic regression was performed.

resultsThe use of a robotic approach for colectomies and proctectomies increased significantly between 2013 and 2021 (p < 0.001), regardless of disease type. A total of 6016 patients underwent MIS for IBD between 2019 and 2021. 2234 (37%) patients had surgery for UC [robotic 430 (19.3%), lap 1804 (80%)] and 3782 (63%) had surgery for CD [robotic 500 (13.2%), lap 3282 (86.8%)]. For patients with UC, there was no difference in rates of overall morbidity (22.6% vs. 20.7%, p = 0.39), serious morbidity (11.4% vs. 12.3%, p = 0.60) or conversion to open (1.5% vs. 2.1%, p = 0.38) between the laparoscopic and robotic approaches, respectively. There was no difference in overall morbidity between the two groups in patients with CD (lap 14.0% vs robotic 16.4%, p = 0.15), however the robotic group exhibited higher rates of serious morbidity (7.3% vs. 11.2%, p < 0.01), shorter LOS (3 vs. 4 days, p < 0.001) and lower rates of conversion to an open procedure (3.8% vs. 1.6%, p = 0.02). Adjusted analysis showed similar results.

conclusionThe use of the robotic platform in the surgical management of IBD is increasing and is not associated with an increase in 30-day overall morbidity compared to a laparoscopic approach.

Indexed as

Inflammatory Bowel DiseasesLaparoscopyProctectomyRobotic Surgical ProceduresColectomyFeasibility StudiesHumansPostoperative ComplicationsRetrospective StudiesCrohn’s diseaseInflammatory bowel diseaseRobotic surgeryUlcerative colitis

Identifiers

PMID37620649
PMCPMC10543162
OpenAlexW4386134092

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.