Evidence map›Paper›PMID 39184632›Full record

ArticleCureus2024

Mass Gathering Events at an Event Hall in Osaka Are a Non-direct Risk of Admission to a Neighboring Emergency Hospital.

Hiroshi Fukuoka, Hiroshi Matsuura, Hideo Yanagi, Jun Oda

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Hiroshi FukuokaEmergency Department, Tane General Hospital, Osaka, JPN.
Hiroshi MatsuuraEmergency and Critical Care Center, Osaka Prefectural Nakakawachi Medical Center of Acute Medicine, Osaka, JPN.
Hideo YanagiEmergency Department, Tane General Hospital, Osaka, JPN.
Jun OdaTraumatology and Acute Critical Medicine Department, Osaka University Graduate School of Medicine, Osaka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influence of planned mass gathering events on surrounding residents is not understood sufficiently.

objectivesThe purpose of this study was to investigate how events at an event hall affect a neighboring emergency hospital throughout the year.

methodsThis was a single-center, retrospective, observational study conducted on all patients who presented to the emergency department from January 1 to December 31, 2019. The event hall is located 200 meters from the hospital, and various events such as music concerts and professional baseball games are held at the hall throughout the year. We collected patient information from the electronic medical records. The factors associated with hospitalization were assessed using a multivariable logistic regression analysis.

resultsThis study comprised 18,907 patients who visited our emergency department. The number of patients on event days was 9,981 and that on no-event days was 8,922. The mean (SD) number of patients visiting on event days was 56.4 (14.9), and that on no-event days was 47.5 (14.1) (p<0.05). The multivariable logistics regression analysis showed age (adjusted odds ratio (AOR): 1.03; 95% confidence interval (CI): 1.03-1.04), male gender (AOR: 1.21; 95% CI: 1.13-1.31), transportation by emergency medical services (AOR: 2.56; 95% CI: 2.37-2.75), rain days (AOR: 1.14; 95% CI: 1.04-1.23), and event day (AOR: 1.11; 95% CI: 1.02-1.20) to be independent risk factors of hospitalization.

conclusionsIn this study, we found that event day was one of the independent risk factors of admission to the hospital from the emergency department.

Indexed as

admissionmass gatheringpenumbraplanned eventrisk factor

Identifiers

PMID39184632
PMCPMC11344889

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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.