Evidence map›Paper›PMID 37927923›Full record

ArticleAnnals of gastroenterological surgery2023

The impact of COVID-19 for postoperative outcomes using a nationwide Japanese database of patients undergoing distal gastrectomy for gastric cancer.

Masashi Takeuchi, Hideki Endo, Taizo Hibi, Ryo Seishima, Yutaka Nakano, Hiroyuki Yamamoto, Hiroaki Miyata, Hiromichi Maeda, Kazuhiro Hanazaki, Akinobu Taketomi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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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

15 authors at 8 institutions in 1 country.

Masashi TakeuchiDepartment of Surgery Keio University School of Medicine Tokyo Japan.
Hideki EndoDepartment of Healthcare Quality Assessment Graduate School of Medicine, The University of Tokyo Tokyo Japan.ORCID https://orcid.org/0000-0003-0052-0332
Taizo HibiDepartment of Pediatric Surgery and Transplantation Kumamoto University Graduate School of Medical Sciences Kumamoto Japan.ORCID https://orcid.org/0000-0002-6867-228X
Ryo SeishimaDepartment of Surgery Keio University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0002-8892-4173
Yutaka NakanoDepartment of Surgery Keio University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0003-3228-3474
Hiroyuki YamamotoDepartment of Healthcare Quality Assessment Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Hiroaki MiyataDepartment of Healthcare Quality Assessment Graduate School of Medicine, The University of Tokyo Tokyo Japan.
Hiromichi MaedaDepartment of Surgery Kochi Medical School Kochi Japan.ORCID https://orcid.org/0000-0001-7694-8082
Kazuhiro HanazakiDepartment of Surgery Kochi Medical School Kochi Japan.
Akinobu TaketomiDepartment of Gastroenterological Surgery I Hokkaido University Hospital Hokkaido Japan.
Yoshihiro KakejiDatabase Committee, The Japanese Society of Gastroenterological Surgery Tokyo Japan.ORCID https://orcid.org/0000-0002-2727-0241
Yasuyuki SetoDepartment of Gastrointestinal Surgery Graduate School of Medicine, The University of Tokyo Tokyo Japan.ORCID https://orcid.org/0000-0002-6953-8752
Hideki UenoDatabase Committee, The Japanese Society of Gastroenterological Surgery Tokyo Japan.ORCID https://orcid.org/0000-0002-8600-1199
Masaki MoriDean, Tokai University Kanagawa Japan.
Yuko KitagawaDepartment of Surgery Keio University School of Medicine Tokyo Japan.
Keio University · JPTokyo Health Care University · JPKochi Medical School Hospital · JPThe Japanese Society of Gastroenterological Surgery · JPHokkaido University Hospital · JPKumamoto University · JPTokai University · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic had resulted in either failure to provide required medical resources or delayed treatment for gastric cancer patients. This study aimed to investigate the impact of COVID-19 on the incidence of postoperative complications using a nationwide Japanese database of patients undergoing distal gastrectomy for gastric cancer. Methods: We collected the data of patients who underwent distal gastrectomy from January 2018 to December 2021 from the National Clinical Database (NCD), a web-based surgical registration system in Japan. The number of surgical cases, the use of intensive care units, and the incidence of morbidity per month were analyzed. We also calculated the standardized mortality ratio (SMR), defined as the ratio of the number of observed patients to the expected number of patients calculated using the risk calculator established in the NCD, for several morbidities, including pneumonia, sepsis, 30-day mortality, and surgical mortality. Results: A decrease of 568 gastrectomies was observed from April 2020 to May 2020. Although the absolute number of patients admitted to intensive care units had declined since 2020, the proportion of patients admitted to the ICU did not change before and after the pandemic. Mortality and critical morbidity (such as pneumonia and sepsis) rates were not worse during the pandemic compared to pre-pandemic periods per the SMR. Conclusions: Surgical management was conducted adequately through the organized efforts of the entire surgery department in our country even in a pandemic during which medical resources and staff may have been limited.

Indexed as

COVID‐19gastrectomygastric cancerpandemicsurgical outcome

Identifiers

PMID37927923
PMCPMC10623976
OpenAlexW4368618181

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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.