Evidence map›Paper›PMID 37869235›Full record

ArticleWorld journal of oncology2023

Trends of Oncological Quality of Robotic Gastrectomy for Gastric Cancer in the United States.

Yuki Hirata, Yi-Ju Chiang, Paul Mansfield, Brian D Badgwell, Naruhiko Ikoma

Open access · diamondAbstract read
In one paragraph

Article in World journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. 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

5 authors at 1 institution in 1 country.

Yuki HirataDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID https://orcid.org/0000-0002-0283-6392
Yi-Ju ChiangDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paul MansfieldDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Brian D BadgwellDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Naruhiko IkomaDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID https://orcid.org/0000-0002-9825-9234
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic gastrectomy (RG) has been increasingly used for treatment of gastric cancer in the United States. However, it is unknown if there has been a nationwide improvement of short-term safety outcomes and oncological quality metrics over time. Methods: We used the National Cancer Database to identify patients who underwent major gastrectomy from 2010 through 2018. The short-term safety outcomes and oncological metrics were compared between cases of open gastrectomy (OG), laparoscopic gastrectomy (LG), and RG. We also compared the indications and outcomes of RG between the three periods (2010 - 2012, 2013 - 2015, and 2016 - 2018). Results: Of the 22,445 patients included, 1,867 (8%) underwent RG. Number of RG continued to increase from only 37 cases performed in 2010 to 412 cases performed in 2018. The number of lymph nodes (LNs) examined (OG, 16; LG, 17; and RG, 19) and the R0 rate (OG, 88%; LG, 92%; and RG 94%) were better for RG than for OG or LG (P < 0.001). In the RG group, the number of LNs examined (first period, 15; third period, 18; P < 0.001), R0 rate (first period, 88.6%; third period, 91.1%; P < 0.001), length of hospital stay (first period, 9 days; third period, 8 days; P < 0.001), 30-day readmission rate (first period, 10.1%; third period, 7.9%; P < 0.001), and 90-day mortality (first period, 7.3%; third period, 6.0%; P = 0.003) continued to improve cohort over time. The ratio of the robotic cases performed in academic institutions gradually increased (first period, 48.6%; third period, 54.3%; P < 0.001). In multivariable analyses, RG was associated with more than 15 LNs being examined (OR, 1.49; 95% CI, 1.34 - 1.65; P < 0.001). The indications for RG appeared expanding to include more advanced stage, high comorbidity, and patients who underwent preoperative therapy. Conclusions: RG has been increasingly performed in the past decade. Although its indication was expanded to include more advanced tumors, we found that the oncological quality metrics and safety outcomes of RG have improved over time and were better than those of OG or LG.

Indexed as

Gastric cancerLearning curveMinimally invasive gastrectomyNational cancer databaseRobotic gastrectomy

Identifiers

PMID37869235
PMCPMC10588505
OpenAlexW4386905523

What OpenQuestion holds

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LicenceCC BY-NC
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.