Evidence map›Paper›PMID 41245628›Full record

ArticleResuscitation plus2025

Out-of-hospital cardiac arrest outcomes following EMS resuscitation protocol revision during the COVID-19 pandemic: a population-based study.

Ryota Kaichi, Yoshinori Matsuoka, Tatsuya Norii, Yasukazu Hijikata, Chisato Miyakoshi, Taro Matsuoka, Naoto Hanamura, Naoto Yuge, Futoshi Toda, Takahiro Itaya and 4 more

Abstract read
In one paragraph

Article in Resuscitation plus, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

14 authors.

Ryota KaichiDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Yoshinori MatsuokaDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Tatsuya NoriiDepartment of Emergency Medicine, University of New Mexico, MSC11 6025, 1 UNM, Albuquerque, NM 87131-0001, USA.
Yasukazu HijikataDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Chisato MiyakoshiDepartment of Research Support, Center for Clinical Research and Innovation, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan.
Taro MatsuokaEmergency Medical Service Division, Kobe City Fire Bureau, 6-5-1 Kano-cho, Chuo-ku, Kobe, Hyogo 650-8570, Japan.
Naoto HanamuraEmergency Medical Service Division, Kobe City Fire Bureau, 6-5-1 Kano-cho, Chuo-ku, Kobe, Hyogo 650-8570, Japan.
Naoto YugeEmergency Medical Service Division, Kobe City Fire Bureau, 6-5-1 Kano-cho, Chuo-ku, Kobe, Hyogo 650-8570, Japan.
Futoshi TodaEmergency Medical Service Division, Kobe City Fire Bureau, 6-5-1 Kano-cho, Chuo-ku, Kobe, Hyogo 650-8570, Japan.
Takahiro ItayaDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Yoshie YamadaDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Yusuke OgawaDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Yosuke YamamotoDepartment of Healthcare Epidemiology, Graduate School of Medicine and Public Health, Kyoto University, Yoshidakonoe-cho, Sakyo-ku, Kyoto-city, Kyoto 606-8501, Japan.
Koichi AriyoshiDepartment of Emergency Medicine, Kobe City Medical Center General Hospital, 2-1-1 Minatojima-Minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: We aimed to evaluate the association between emergency medical service (EMS) protocols with enhanced infection control precautions against COVID-19 and the outcomes of patients with out-of-hospital cardiac arrest (OHCA), as well as various EMS-related time intervals, in Japan. Methods: We conducted a population-based cohort study of OHCAs in Kobe, Japan, between 2016 and 2023. In May 2020, the Japanese resuscitation protocols for EMS were revised in accordance with the guidance of the International Liaison Committee on Resuscitation. The outcomes of interest were favourable neurological outcomes and several time metrics related to EMS activities. We evaluated changes in outcomes before and after the protocol revision using segmented regression for interrupted time-series analyses. Results: A total of 10,126 patients were enrolled during the period. The proportion of favourable neurological outcomes decreased after the protocol revision: the change in the intercept was -3.4 % (95 % confidence interval [CI], -5.2 % to -1.7 %) and in the trend was 0.01 % (95 % CI, -0.02 % to 0.04 %). Delays were observed in airway management completion (186 s [95 % CI, 131 to 241] for the intercept and 6.13 s [95 % CI, 4.22 to 8.03] for the trend) and establishment of intravenous access (99 s [95 % CI, 55 to 143] for the intercept and 3.93 s [95 % CI, 2.84 to 5.02] for the trend). Conclusion: OHCA outcomes worsened after the protocol revision, with delays in several key EMS interventions. When encountering future pandemics, resuscitation protocols should be designed to balance infection control and the quality of advanced life support.

Indexed as

COVID-19Emergency medical servicesInterrupted time-series analysisOut-of-hospital cardiac arrestPopulation-based studyResuscitation protocol revision

Identifiers

PMID41245628
PMCPMC12615758

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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.