Evidence map›Paper›PMID 37968720›Full record

ArticleCritical care (London, England)2023

In-hospital extracorporeal cardiopulmonary resuscitation for patients with out-of-hospital cardiac arrest: an analysis by time-dependent propensity score matching using a nationwide database in Japan.

Yohei Okada, Sho Komukai, Taro Irisawa, Tomoki Yamada, Kazuhisa Yoshiya, Changhwi Park, Tetsuro Nishimura, Takuya Ishibe, Hitoshi Kobata, Takeyuki Kiguchi and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Article
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

30 authors.

Yohei OkadaDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan. yokada-kyf@umin.ac.jp.
Sho KomukaiDivision of Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Taro IrisawaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Tomoki YamadaEmergency and Critical Care Medical Center, Osaka Police Hospital, Osaka, Japan.
Kazuhisa YoshiyaDepartment of Emergency and Critical Care Medicine, Kansai Medical University, Takii Hospital, Moriguchi, Japan.
Changhwi ParkDepartment of Emergency Medicine, Tane General Hospital, Osaka, Japan.
Tetsuro NishimuraDepartment of Critical Care Medicine, Osaka City University, Osaka, Japan.
Takuya IshibeDepartment of Emergency and Critical Care Medicine, Faculty of Medicine, Kindai University, Osaka-Sayama, Japan.
Hitoshi KobataOsaka Mishima Emergency Critical Care Center, Takatsuki, Japan.
Takeyuki KiguchiCritical Care and Trauma Center, Osaka General Medical Center, Osaka, Japan.
Masafumi KishimotoOsaka Prefectural Nakakawachi Medical Center of Acute Medicine, Higashi-Osaka, Japan.
Sung-Ho KimSenshu Trauma and Critical Care Center, Osaka, Japan.
Yusuke ItoSenri Critical Care Medical Center, Saiseikai Senri Hospital, Suita, Japan.
Taku SogabeTraumatology and Critical Care Medical Center, National Hospital Organization Osaka National Hospital, Osaka, Japan.
Takaya MorookaEmergency and Critical Care Medical Center, Osaka City General Hospital, Osaka, Japan.
Haruko SakamotoDepartment of Pediatrics, Osaka Red Cross Hospital, Osaka, Japan.
Keitaro SuzukiEmergency and Critical Care Medical Center, Kishiwada Tokushukai Hospital, Osaka, Japan.
Atsunori OnoeDepartment of Emergency and Critical Care Medicine, Kansai Medical University, Hirakata, Osaka, Japan.
Tasuku MatsuyamaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Norihiro NishiokaDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Satoshi MatsuiDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Satoshi YoshimuraDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Shunsuke KimataDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Shunsuke KawaiDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Yuto MakinoDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Kosuke KiyoharaDepartment of Food Science Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan.
Ling ZhaDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Marcus Eng Hock OngHealth Services and Systems Research, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
Taku IwamiDepartment of Preventive Services, School of Public Health/Graduate School of Medicine, Kyoto University, Yoshida-Konoe-Cho, Sakyo, Kyoto, 606-8501, Japan.
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.

Funding

Japan Society for the Promotion of Science JP22H03313Japan Society for the Promotion of Science JP22K09139Japan Society for the Promotion of Science JP22K21143
6 · The paper itself

Abstract

backgroundExtracorporeal cardiopulmonary resuscitation (ECPR) has been proposed as a rescue therapy for patients with refractory cardiac arrest. This study aimed to evaluate the association between ECPR and clinical outcomes among patients with out-of-hospital cardiac arrest (OHCA) using risk-set matching with a time-dependent propensity score.

methodsThis was a secondary analysis of the JAAM-OHCA registry data, a nationwide multicenter prospective study of patients with OHCA, from June 2014 and December 2019, that included adults (≥ 18 years) with OHCA. Initial cardiac rhythm was classified as shockable and non-shockable. Patients who received ECPR were sequentially matched with the control, within the same time (minutes) based on time-dependent propensity scores calculated from potential confounders. The odds ratios with 95% confidence intervals (CI) for 30-day survival and 30-day favorable neurological outcomes were estimated for ECPR cases using a conditional logistic model.

resultsOf 57,754 patients in the JAAM-OHCA registry, we selected 1826 patients with an initial shockable rhythm (treated with ECPR, n = 913 and control, n = 913) and a cohort of 740 patients with an initial non-shockable rhythm (treated with ECPR, n = 370 and control, n = 370). In these matched cohorts, the odds ratio for 30-day survival in the ECPR group was 1.76 [95%CI 1.38-2.25] for shockable rhythm and 5.37 [95%CI 2.53-11.43] for non-shockable rhythm, compared to controls. For favorable neurological outcomes, the odds ratio in the ECPR group was 1.11 [95%CI 0.82-1.49] for shockable rhythm and 4.25 [95%CI 1.43-12.63] for non-shockable rhythm, compared to controls.

conclusionECPR was associated with increased 30-day survival in patients with OHCA with initial shockable and even non-shockable rhythms. Further research is warranted to investigate the reproducibility of the results and who is the best candidate for ECPR.

Indexed as

Cardiopulmonary ResuscitationOut-of-Hospital Cardiac ArrestAdultHospitalsHumansJapanPropensity ScoreProspective StudiesRegistriesReproducibility of ResultsRetrospective StudiesExtracorporeal cardiopulmonary resuscitationJapaneseNationwide databaseOut-of-hospital cardiac arrestRescue therapyTime-dependent propensity score matching

Identifiers

PMID37968720
PMCPMC10652510

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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.