Evidence map›Paper›PMID 42146820›Full record

ArticleAnnals of gastroenterological surgery2026

Nationwide Real-World Modeling of Surgical Outcomes in Elderly Patients: Incorporating Geriatric-Specific Risk Factors Into Prediction of Mortality and Morbidity.

Naoya Sato, Hiraku Kumamaru, Mitsukazu Gotoh, Yoshihiro Kakeji, Yuko Kitagawa, Yasuyuki Seto, Hiromi Rakugi, Masahiro Akishita, Kazue Nakajima, Arata Takahashi and 2 more

Abstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

12 authors.

Naoya SatoDepartment of Hepato-Biliary-Pancreatic and Transplant Surgery Fukushima Medical University Fukushima Japan.ORCID https://orcid.org/0000-0003-4572-7855
Hiraku KumamaruDepartment of Healthcare Quality Assessment, Graduate School of Medicine The University of Tokyo Tokyo Japan.
Mitsukazu GotohOsaka General Medical Center Osaka Japan.
Yoshihiro KakejiDivision of Gastrointestinal Surgery, Department of Surgery Kobe University Graduate School of Medicine Kobe Japan.ORCID https://orcid.org/0000-0002-2727-0241
Yuko KitagawaDepartment of Surgery Keio University School of Medicine Tokyo Japan.
Yasuyuki SetoDepartment of Gastrointestinal Surgery, Graduate School of Medicine The University of Tokyo Tokyo Japan.ORCID https://orcid.org/0000-0002-6953-8752
Hiromi RakugiDepartment of Geriatric and General Medicine, Graduate School of Medicine Osaka University Osaka Japan.
Masahiro AkishitaTokyo Metropolitan Institute for Geriatrics and Gerontology Tokyo Japan.
Kazue NakajimaDepartment of Clinical Quality Management Osaka University Hospital Osaka Japan.
Arata TakahashiDepartment 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.
Shigeru MarubashiDepartment of Hepato-Biliary-Pancreatic and Transplant Surgery Fukushima Medical University Fukushima Japan.ORCID https://orcid.org/0000-0002-5263-3286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: As the aging population grows, it is crucial to evaluate the quality of surgical care considering geriatric-specific factors and outcomes. The aim of this study was to develop and validate prediction models for mortality and morbidity in patients aged 65 and older by using a large-scale, nationwide, real-world dataset to enable robust and generalizable modeling and to evaluate the contribution of geriatric-specific risk factors to the model. Methods: Data from the National Clinical Database in 2021, incorporating 22 geriatric-specific variables, was used to develop prediction models for 30-day mortality and major complications using 70% of the dataset (development cohort), with validation on the remaining 30% (validation cohort). Results: A total of 64 868 cases from gastroenterological surgeries were analyzed. In this geriatric cohort, the 30-day mortality rate was 1.8%, and the major complication rate was 11.3%. The prediction models demonstrated strong discrimination and calibration (HL = 0.198 and c-statistics = 0.84 for mortality, HL = 0.0003 and c-statistics = 0.68 for morbidity). The mortality prediction model identified three significant geriatric-specific factors as independent predictors: surrogate consent (odds ratio [OR] 1.91; 95% confidence interval [CI] 1.55-2.35), depression (OR 1.68; 95% CI 1.02-2.75), and hospitalization from outside the home (OR 1.24; 95% CI 1.01-1.54), along with age (75-79 years vs. 65-69 years, OR 1.62; 95% CI 1.20-2.19). Conclusions: Incorporating geriatric-specific factors along with age identified clinically relevant predictors of mortality and morbidity, reinforcing the importance of geriatric assessment in elderly surgical patients.

Indexed as

comprehensive geriatric assessmentgeriatric risk modelgeriatric surgery

Identifiers

PMID42146820
PMCPMC13178288

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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.