Evidence mapPaperPMID 41772108Full record

ArticleJournal of gastroenterology2026

Regional differences for the risk of in-hospital mortality after pancreaticoduodenectomy: a cross-sectional study analyzing data from a Japanese nationwide database including 86,339 patients.

Teruchika Koyama, Nobutoshi Nawa, Hisaaki Nishimura, Mariko Hanafusa, Keiichi Akahoshi, Hiroki Ueda, Kiyohide Fushimi, Takeo Fujiwara

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Article in Journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Teruchika KoyamaDepartment of Public Health, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-KuTokyo, 113-8510, Japan.
Nobutoshi NawaDepartment of Global Environmental Health, Institute of Science Tokyo, Tokyo, Japan.
Hisaaki NishimuraDepartment of Public Health, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-KuTokyo, 113-8510, Japan.
Mariko HanafusaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Keiichi AkahoshiDepartment of Hepatobiliary and Pancreatic Surgery, Institute of Science Tokyo, Tokyo, Japan.
Hiroki UedaDepartment of Hepatobiliary and Pancreatic Surgery, Institute of Science Tokyo, Tokyo, Japan.
Kiyohide FushimiDepartment of Health Policy and Informatics, Institute of Science Tokyo, Tokyo, Japan.
Takeo FujiwaraDepartment of Public Health, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-KuTokyo, 113-8510, Japan. fujiwara.hlth@tmd.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreaticoduodenectomy is the only curative treatment for pancreatic cancer, though it is an invasive procedure, with a high perioperative mortality rate, which may differ by region. The objectives of this study are to 1) investigate the risk of in-hospital mortality after pancreaticoduodenectomy in urban and rural hospitals, and 2) investigate its differences, stratified by age groups and hospital volume.

methodsThis study analyzed data from 86,339 patients who underwent pancreaticoduodenectomy from a Japanese nationwide database between 2010 and 2021. Hospitals were classified as urban if located in cities with ≥ 500,000 residents or in municipalities where ≥ 1.5% of residents commute to such cities, and all others were classified as rural. The primary outcome was in-hospital mortality within 90 days after pancreaticoduodenectomy. Logistic regression was applied.

resultsThe risk for in-hospital mortality within 90 days after pancreaticoduodenectomy was significantly higher for patients in rural hospitals than those in urban hospitals (OR 1.17 [1.04-1.31]). Stratified analysis by age groups showed rural location was a significantly higher risk for patients ≧80 years old (OR 1.41 [1.11-1.80]), whereas there was no significant difference among patients aged ≤ 79 years. Stratified analysis by hospital volume and age groups showed that rural location was a significantly higher risk for patients ≧80 years old in low-volume hospitals (OR 1.43 [1.09-1.87]), whereas that was not significant for patients in high-volume hospitals.

conclusionsThe risk for in-hospital mortality was higher for rural hospitals than urban. Patients aged ≥ 80 years old in low-volume rural hospitals represented the highest-risk subgroup.

Indexed as

Hospital MortalityHospitals, RuralHospitals, UrbanPancreatic NeoplasmsPancreaticoduodenectomyAdultAgedAged, 80 and overAge FactorsCross-Sectional StudiesDatabases, FactualFemaleHumansJapanMaleMiddle AgedAgingPancreaticoduodenectomyRurality

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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 Socratic graph.