Evidence map›Paper›PMID 30357525›Full record

ArticleSurgical endoscopy2019

Robotic surgery trends in general surgical oncology from the National Inpatient Sample.

Camille L Stewart, Philip H G Ituarte, Kurt A Melstrom, Susanne G Warner, Laleh G Melstrom, Lily L Lai, Yuman Fong, Yanghee Woo

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  14. Cost Analysis for Robotic and Open Gastrectomy.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  15. Robot-Guided Ultrasonography in Surgical Interventions.Diagnostics (Basel, Switzerland) · 2023
    Review
  16. Short-Term and Textbook Surgical Outcomes During the Implementation of a Robotic Gastrectomy Program.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    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

8 authors.

Camille L StewartDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA. cstewart@coh.org.
Philip H G ItuarteDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Kurt A MelstromDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Susanne G WarnerDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Laleh G MelstromDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Lily L LaiDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Yuman FongDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.
Yanghee WooDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Road, Duarte, CA, 91010-3000, USA.

Funding

Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
NCI NIH HHS K12 CA001727NCI NIH HHS NIH 5K12CA001727-20
6 · The paper itself

Abstract

backgroundRobotic surgery is offered at most major medical institutions. The extent of its use within general surgical oncology, however, is poorly understood. We hypothesized that robotic surgery adoption in surgical oncology is increasing annually, that is occurring in all surgical sites, and all regions of the US. STUDY

designWe identified patients with site-specific malignancies treated with surgical resection from the National Inpatient Sample 2010-2014 databases. Operations were considered robotic if any ICD-9-CM robotic procedure code was used.

resultsWe identified 147,259 patients representing the following sites: esophageal (3%), stomach (5%), small bowel (5%), pancreas (7%), liver (5%), and colorectal (75%). Most operations were open (71%), followed by laparoscopic (26%), and robotic (3%). In 2010, only 1.1% of operations were robotic; over the 5-year study period, there was a 5.0-fold increase in robotic surgery, compared to 1.1-fold increase in laparoscopy and 1.2-fold decrease in open surgery (< 0.001). These trends were observed for all surgical sites and in all regions of the US, they were strongest for esophageal and colorectal operations, and in the Northeast. Adjusting for age and comorbidities, odds of having a robotic operation increased annually (5.6 times more likely by 2014), with similar length of stay (6.9 ± 6.5 vs 7.0 ± 6.5, p = 0.52) and rate of complications (OR 0.91, 95% CI 0.83-1.01, p = 0.08) compared to laparoscopy.

conclusionsRobotic surgery as a platform for minimally invasive surgery is increasing over time for oncologic operations. The growing use of robotic surgery will affect surgical oncology practice in the future, warranting further study of its impact on cost, outcomes, and surgical training.

Indexed as

AgedDatabases, FactualDigestive System Surgical ProceduresFemaleHumansLaparoscopyMaleMiddle AgedMinimally Invasive Surgical ProceduresPostoperative ComplicationsRetrospective StudiesRobotic Surgical ProceduresSurgical OncologyMinimally invasive surgeryNational Inpatient SampleRobotic surgery

Identifiers

What OpenQuestion holds

Textmetadata
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.