Evidence map›Paper›PMID 36611476›Full record

ArticleHealthcare (Basel, Switzerland)2022

Volume-Outcome Relationship in Cancer Survival Rates: Analysis of a Regional Population-Based Cancer Registry in Japan.

Yoichiro Sato, Rena Kaneko, Yuichiro Yano, Kentaro Kamada, Yuui Kishimoto, Takashi Ikehara, Yuzuru Sato, Takahisa Matsuda, Yoshinori Igarashi

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Hospital volume stratification using stratum-specific likelihood ratios for pancreatectomy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2026
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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

9 authors at 2 institutions in 1 country.

Yoichiro SatoDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Rena KanekoDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.ORCID 0000-0002-0044-1821
Yuichiro YanoDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Kentaro KamadaDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Yuui KishimotoDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Takashi IkeharaDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Yuzuru SatoDepartment of Gastroenterology and Hepatology, Kanto Rosai Hospital, Kanagawa 211-8510, Japan.
Takahisa MatsudaDivision of Gastroenterology and Hepatology, Department of Internal Medicine (Omori), School of Medicine, Faculty of Medicine, Toho University, Tokyo 143-8541, Japan.
Yoshinori IgarashiDivision of Gastroenterology and Hepatology, Department of Internal Medicine (Omori), School of Medicine, Faculty of Medicine, Toho University, Tokyo 143-8541, Japan.
Toho University · JPYokohama Rosai Hospital · JP

Funding

Japan Organization of Occupational Health and Safety. Research funds to promote hospital functions
6 · The paper itself

Abstract

backgroundThere is limited data on the relationship between hospital volumes and outcomes with respect to cancer survival in Japan. The primary objective of this study was to evaluate the effect of hospital volume on cancer survival rate using a population-based cohort database.

methodsUsing the Kanagawa cancer registry, propensity score matching was employed to create a dataset for each cancer type by selecting 1:1 matches for cases from high- and other-volume hospitals. The 5-year survival rate was estimated and the hazard ratio (HR) for hospital volume was calculated using a Cox proportional hazard model. Additional analyses were performed limited to cancer patients who underwent surgical operation, chemotherapy, and other treatments in each tumor stage and at the time of diagnosis.

resultsThe number of cases with complete data, defined as common cancers (prostate, kidney, bladder, esophagus, stomach, liver, pancreas, colon, breast, and lung), was 181,039. Adjusted HR differed significantly among hospital volume categories for the most common cancers except bladder, and the trends varied according to cancer type. The HR ranged from 0.76 (95%CI, 0.74-0.79) for stomach cancer to 0.85 (0.81-0.90) for colon cancer.

conclusionsThis study revealed that a relationship may exist between hospital volume and cancer survival in Japan.

Indexed as

cancer survivalhospital volumemultiple imputationprognosispropensity score matching

Identifiers

PMID36611476
PMCPMC9819082
OpenAlexW4313475613

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.