Evidence map›Paper›PMID 42211158›Full record

ArticleJuntendo medical journal2026

Validation of Factors Associated with Difficult Emergency Transport in Tokyo Before and After COVID-19 Pandemic: A Retrospective Observational Study.

Ippei Osugi, Daisuke Usuda, Tomotari Inami, Masashi Kato, Eri Nakajima, Runa Shimizu, Takayuki Komatsu, Keiko Mizuno, Hiroki Takami, Tomohisa Nomura and 1 more

Abstract read
In one paragraph

Article in Juntendo medical journal, 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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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ippei Osugi
Daisuke Usuda
Tomotari Inami
Masashi Kato
Eri Nakajima
Runa Shimizu
Takayuki Komatsu
Keiko Mizuno
Hiroki Takami
Tomohisa Nomura
Manabu Sugita

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To clarify and compare factors of difficult emergency transport before and after COVID-19 in Tokyo. Materials and Methods: We conducted a retrospective observation study. Data was collected by reviewing electronic medical records, and all patients transferred to our hospital as Tokyo Rule (TR) cases between April 1, 2010, and March 31, 2022, were enrolled. After enrollment, baseline, demographic, clinical characteristics of patients, and prehospital information about emergency medical services (EMS) activity time were collected. The primary outcome was defined as 30-day death. Firstly, we defined pre-COVID-19 group as being before January 15, 2020, and COVID-19 group afterwards. To predict factor for death, a univariate and multivariable logistic-regression analysis were applied to each parameter to identify predictors of death. Results: Total of 3,988 individuals were included. Of them, 2,005 were in pre-COVID-19 group, and 1,983 in COVID-19 group. In the univariate analysis, age, weekends and holidays, transportation time, respiratory rate, comorbidity of hypertension, and major diagnostic category were associated with death in pre-COVID-19 group. A similar situation was found for age, weekends and holidays, pulse oximetry, respiratory symptoms, and comorbidity of respiratory disease in COVID-19 group. In logistic regression analysis, independent predictors included weekends and holidays, comorbidity of hypertension, and major diagnostic category of gynecology in pre-COVID-19 group and weekends and holidays, respiratory symptoms, and comorbidity of respiratory disease in COVID-19 group. Conclusions: Factors of TR cases have changed since the COVID-19 pandemic.

Indexed as

Coronavirus disease 2019difficult emergency transportemergency medical servicesTokyoTokyo Rule

Identifiers

PMID42211158
PMCPMC13212545

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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.