Evidence map›Paper›PMID 42295652›Full record

ArticleEsophagus : official journal of the Japan Esophageal Society2026

Simulation study on the regionalization of esophagectomy using data from 27,476 patients in Japan.

Tatsuto Nishigori, Arata Takahashi, Nao Ichihara, Shigeru Tsunoda, Yasushi Toh, Masayuki Watanabe, Yasue Kimura, Hisahiro Matsubara, Hiroya Takeuchi, Yoshihiro Kakeji and 6 more

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Article in Esophagus : official journal of the Japan Esophageal Society, 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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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Tatsuto NishigoriJapan Esophageal Society, Tokyo, Japan. nsgr@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-4969-5590
Arata TakahashiDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Nao IchiharaDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Shigeru TsunodaJapan Esophageal Society, Tokyo, Japan.
Yasushi TohJapan Esophageal Society, Tokyo, Japan.
Masayuki WatanabeJapan Esophageal Society, Tokyo, Japan.
Yasue KimuraJapan Esophageal Society, Tokyo, Japan.
Hisahiro MatsubaraJapan Esophageal Society, Tokyo, Japan.
Hiroya TakeuchiJapan Esophageal Society, Tokyo, Japan.
Yoshihiro KakejiJapanese Society of Gastroenterological Surgery, Tokyo, Japan.
Hideki UenoJapanese Society of Gastroenterological Surgery, Tokyo, Japan.
Yasuyuki SetoJapanese Society of Gastroenterological Surgery, Tokyo, Japan.
Ken ShirabeJapanese Society of Gastroenterological Surgery, Tokyo, Japan.
Hiroaki MiyataDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Yoshiharu SakaiJapan Esophageal Society, Tokyo, Japan.
Kazutaka ObamaJapan Esophageal Society, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough a strong volume-outcome association for esophagectomy has been reported in Japan, no national policy for regionalization currently exists. This study simulated the impact of regionalization on operative mortality, patient travel distance, and geographic disparities using a nationwide clinical database.

methodsPatients who underwent esophagectomy with reconstruction for malignant tumors were identified from the Japanese National Clinical Database. Four simulation scenarios were established by setting minimum volume standards (MVSs) at 2, 5, 10, and 15 cases annually. Operative mortality in each simulation scenario was estimated using a model that incorporated both the post-regionalization hospital case volume and the characteristics of reassigned patients. Changes in travel distance were also evaluated across the metropolitan, provincial, and rural regions.

resultsAmong 27,476 patients treated across 1,041 hospitals, 76% of hospitals performed < 5 cases annually. The operative mortality decreased with increasing hospital volume (< 2 cases/year: 4.8%, ≥ 15 cases/year: 1.6%). Based on the simulations, applying MVSs of 2, 5, 10, and 15 reduced the mortality rates to 2.7%, 2.1%, 1.8%, and 1.7%, respectively-corresponding to 8-29 fewer deaths annually. However, 7%-38% of patients would need to travel to the nearest eligible hospital. In metropolitan areas, an MVS of 15 would increase the median travel distance by 2.6 km only. In rural areas, the distance would increase by 24 km at an MVS of 2 and by 43 km at an MVS of 15.

conclusionsRegionalization of esophagectomy in Japan could significantly reduce operative mortality. However, it would increase travel burdens among patients in rural areas. Therefore, balancing outcome improvement and accessibility will be essential for policy implementation.

Indexed as

EsophagectomyHospital volumeMinimum volume standardRegionalizationSimulation

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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.