| Unique ID issued by UMIN | UMIN000061803 |
|---|---|
| Receipt number | R000070722 |
| Scientific Title | The Impact of Hospital Surgical Volumes on Short-Term Outcomes Following Brain Tumor Surgery from a Nationwide Database in Japan |
| Date of disclosure of the study information | 2026/06/05 |
| Last modified on | 2026/06/04 20:09:47 |
The Impact of Hospital Surgical Volumes on Short-Term Outcomes Following Brain Tumor Surgery from a Nationwide Database in Japan
The Impact of Hospital Surgical Volumes on Short-Term Outcomes Following Brain Tumor Surgery from a Nationwide Database in Japan
The Impact of Hospital Surgical Volumes on Short-Term Outcomes Following Brain Tumor Surgery from a Nationwide Database in Japan
The Impact of Hospital Surgical Volumes on Short-Term Outcomes Following Brain Tumor Surgery from a Nationwide Database in Japan
| Japan |
Central Nervous System Tumors
| Neurosurgery |
Malignancy
NO
The literature suggests that patients with brain tumors show better prognoses when treated at hospitals with high surgical volumes, and this is considered one of the key factors contributing to favorable outcomes. However, previous studies have primarily focused on estimating conditional effects, and to the best of our knowledge, there are no reports estimating the average causal effect within the population when surgical volume is treated as an intervention variable. In this study, we will conduct an epidemiological study using the DPC (Diagnosis Procedure Combination) database-a nationwide database in Japan-and a methodology called "Target Trial Emulation", which simulates an ideal randomized controlled trial (target trial). The objective of this study is to estimate the causal effect between intervention strategies that altering the number of brain tumor surgeries performed at medical institutions and short-term postoperative outcomes for brain tumors by clearly defining ideal trial conditions and emulating them using observational study data.
Others
In-hospital mortality, mortality within 30 days of surgery and unscheduled readmission within 30 days of surgery.
Exploratory
Not applicable
In-hospital mortality
30-day postoperative mortality and unscheduled readmissions within 30 days of surgery
Observational
| Not applicable |
| Not applicable |
Male and Female
1. Observation period: Patients who (1) have DPC data for hospitalizations between April 2018 and March 2023, based on the date of discharge; (2) underwent specific surgeries for brain tumors (defined by seven types of K-codes: K1691, K1692, K154-3, K169-2, K 169-3, K 171-22, K171-21) during the observation period; (3) classified under ICD-10 codes Cxx and Dxx, which indicate neoplasms (tumors); (4) were all ages.
None. (We will cope with multiple imputation for missing value of covariates in analysis.)
27000
| 1st name | Atsushi |
| Middle name | |
| Last name | Goto |
Yokohama City University Graduate School of Medicine
Department of Public Health
236-0004
3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, Japan
045-787-2610
agoto@yokohama-cu.ac.jp
| 1st name | Chihiro |
| Middle name | |
| Last name | Oka |
Yokohama City University Graduate School of Medicine
Department of Public Health
236-0004
3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, Japan
045-787-2610
oka.chi.ld@yokohama-cu.ac.jp
Yokohama City University
Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for JSPS Research Fellows (JSPS Research Fellow)
Japanese Governmental office
Japan
Children's Cancer Association of Japan
The Ethics Committee of the School of Medicine, Yokohama City University
3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, Japan
045-370-7627
rinri@yokohama-cu.ac.jp
NO
| 2026 | Year | 06 | Month | 05 | Day |
Unpublished
Preinitiation
| 2026 | Year | 06 | Month | 04 | Day |
| 2025 | Year | 11 | Month | 21 | Day |
| 2026 | Year | 06 | Month | 05 | Day |
| 2026 | Year | 06 | Month | 06 | Day |
The objective of this study is to conduct a retrospective observational study using DPC (Diagnosis-Procedure Combination). The study population consists of patients who underwent specific brain tumor surgeries between April 1, 2018, and March 31, 2023.
"Exposure" refers to the number of surgeries performed in the previous year at the facility where each patient underwent surgery. The study population and exposure are defined by age and the K code for the surgical procedure. Within each patient cohort, participants are classified according to the following intervention strategies:
Interventions involving surgery at hospitals with 1) zero percentile or higher, 2) 25th percentile or higher, or 3) 50th percentile or higher, or 4) 75th percentile or higher in the number of surgeries performed.
The primary outcome is in-hospital death after surgery, and we will estimate changes in the cumulative incidence rate.
| 2026 | Year | 06 | Month | 04 | Day |
| 2026 | Year | 06 | Month | 04 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000070722