Evidence map›Paper›PMID 38541048›Full record

ArticleJournal of personalized medicine2024

A Seasonal Variation of Clinical and Neurological Outcomes in Patients with Out-of-Hospital Cardiac Arrest Treated with Extracorporeal Cardiopulmonary Resuscitation: A Secondary Data Analysis of the SaveJ II Study.

Kei Ito, Wataru Takayama, Yasuhiro Otomo, Akihiko Inoue, Toru Hifumi, Tetsuya Sakamoto, Yasuhiro Kuroda, On Behalf Of The Save-J Ii Study Group

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Article in Journal of personalized medicine, 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

8 authors.

Kei ItoTrauma and Acute Critical Care Center, Tokyo Medical and Dental University Hospital of Medicine, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.
Wataru TakayamaTrauma and Acute Critical Care Center, Tokyo Medical and Dental University Hospital of Medicine, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.
Yasuhiro OtomoTrauma and Acute Critical Care Center, Tokyo Medical and Dental University Hospital of Medicine, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.ORCID 0000-0002-9674-1369
Akihiko InoueDepartment of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe 651-0073, Japan.ORCID 0000-0002-9627-3702
Toru HifumiDepartment of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo 104-8560, Japan.
Tetsuya SakamotoDepartment of Emergency Medicine, Teikyo University School of Medicine, Tokyo 173-8606, Japan.
Yasuhiro KurodaDepartment of Emergency Medicine, Kagawa University School of Medicine, Takamatsu 761-0793, Japan.
On Behalf Of The Save-J Ii Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis for patients with out-of-hospital cardiac arrest (OHCA) has been reported to be worse in the cold season. On the other hand, it is unclear whether a similar trend exists in OHCA patients who are treated with extracorporeal cardiopulmonary resuscitation (ECPR). This study was a retrospective multicenter registry study. We examined the association between ECPR and season. We compared the prognosis in four seasonal groups according to the day of occurrence. Multivariable logistic regression analysis was performed for the assessment of clinical and neurological outcomes. A total of 2024 patients with OHCA who received ECRP were included. There were no significant differences in in-hospital mortality (

Indexed as

ECPRextracorporeal cardiopulmonary resuscitationout-of-hospital cardiac arrestseasonal variation

Identifiers

PMID38541048
PMCPMC10971145

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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.