Evidence map›Paper›PMID 28285387›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2017

Development and external validation of preoperative risk models for operative morbidities after total gastrectomy using a Japanese web-based nationwide registry.

Hirotoshi Kikuchi, Hiroaki Miyata, Hiroyuki Konno, Kinji Kamiya, Ai Tomotaki, Mitsukazu Gotoh, Go Wakabayashi, Masaki Mori

Registry-linked trialOpen access · hybridAbstract readValidation Study
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03909997 (Severe Complications After Gastrectomy for Esophagogastric Junction and Gastric Cancer), which is not on this map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% 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.

NCT03909997 unknown statusnot on this mapstarted 2019, after this paper: background citation

Severe Complications After Gastrectomy for Esophagogastric Junction and Gastric Cancer: Perioperative Results and Long Term Survival

TypeobservationalSponsorHospital Dr Sotero del RioRan2019 to 2022Enrolled300ConditionsGastric Cancer, Esophagogastric Junction Disorder
3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 4 syntheses or guidelines pooled it, 72 citations in OpenAlex.

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  10. Time-sequential prediction of postoperative complications after gastric cancer surgery using machine learning: a multicenter cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
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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 at 1 institution in 1 country.

Hirotoshi KikuchiThe Japanese Society of Gastroenterological Surgery, Working Group Database Committee, Tokyo, Japan.
Hiroaki MiyataThe Japanese Society of Gastroenterological Surgery, Database Committee, Tokyo, Japan.
Hiroyuki KonnoThe Japanese Society of Gastroenterological Surgery, Database Committee, Tokyo, Japan. kon_6416@hama-med.ac.jp.
Kinji KamiyaThe Japanese Society of Gastroenterological Surgery, Working Group Database Committee, Tokyo, Japan.
Ai TomotakiThe Japanese Society of Gastroenterological Surgery, Database Committee, Tokyo, Japan.
Mitsukazu GotohThe Japanese Society of Gastroenterological Surgery, Database Committee, Tokyo, Japan.
Go WakabayashiThe Japanese Society of Gastroenterological Surgery, Database Committee, Tokyo, Japan.
Masaki MoriThe Japanese Society of Gastroenterological Surgery, Tokyo, Japan.
The Japanese Society of Gastroenterological Surgery · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTotal gastrectomy is a relatively difficult and invasive procedure among gastrointestinal surgeries, and major morbidities following total gastrectomy can be serious and fatal. This study aimed to develop and validate preoperative risk models of morbidities associated with total gastrectomy using a Japanese web-based nationwide registry.

methodsThe national clinical database was used to retrieve the records of 39,253 patients who underwent total gastrectomy in 1,841 hospitals between January 1, 2011 and December 31, 2012.

resultsMean patient age was 69.1 years, and 73.8% of the patients were male. The overall morbidity rate was 21.5%, which included 8.1% with surgical site infection (SSI), 4.5% with anastomotic leak, 5.0% with pancreatic fistula, 3.7% with pneumonia, 1.9% with prolonged ventilation, and 1.2% with renal failure. Sex, splenectomy, and Brinkman index were selected as common risk factors for SSI, anastomotic leak, and pancreatic fistula. Pancreatectomy was the most significant preoperative risk factor in the risk model of SSI and pancreatic fistula. Need of assistance with activities of daily living, chronic obstructive pulmonary disease, previous cerebrovascular disease, American Society of Anesthesiologists score class 3 and over, presence of esophageal cancer, and body mass index more than 25 were selected as common risk factors for pneumonia, prolonged ventilation over 48 h, and renal failure.

conclusionsWe have created the first reported risk models of morbidities associated with total gastrectomy, using a Japanese nationwide database. The risk models developed in this study may be useful to preoperatively predict operative morbidities in patients undergoing total gastrectomy.

Indexed as

AdultAgedAged, 80 and overFemaleGastrectomyHumansJapanLogistic ModelsMaleMiddle AgedMorbidityPostoperative ComplicationsRegistriesRisk FactorsStomach NeoplasmsMorbidityMortalityNational Clinical DatabaseRisk modelTotal gastrectomy

Identifiers

PMID28285387
PMCPMC5658454
OpenAlexW2594069439

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LicenceCC BY
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Registered trials

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.