Evidence map›Paper›PMID 41142211›Full record

ArticleResuscitation plus2025

Methodology for creating a novel cardiac arrest registry using the Trinetx electronic health record database.

Ryan Huebinger, Ryan A Coute, Larissa Myaskovsky, Cameron Crandall, Ethan Abbott, Keith E Kocher, Aditya C Shekhar, Benjamin S Abella

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.

0numbers the graph read from it
0cells of the map it votes in
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–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.

Ryan HuebingerDepartment of Emergency Medicine, University of New Mexico, Albuquerque, NM, United States.
Ryan A CouteDepartment of Emergency Medicine, University of Alabama Birmingham Heersink School of Medicine, Birmingham, AL, United States.
Larissa MyaskovskyDepartment of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, United States.
Cameron CrandallDepartment of Emergency Medicine, University of New Mexico, Albuquerque, NM, United States.
Ethan AbbottDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Keith E KocherDepartments of Emergency Medicine and Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.
Aditya C ShekharIcahn School of Medicine at Mount Sinai, New York, NY, United States.
Benjamin S AbellaDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Care in the hospital, post-arrest care, is a crucial component of out-of-hospital cardiac arrest (OHCA) management, but current OHCA databases contain limited post-arrest care data. To address this, we present the methodology for assembling a multicenter, real-world post-arrest care research registry using the Trinetx database. Methods: We queried the Trinetx research database (01/01/2000-02/19/2025), a federated database of electronic health record data from over 100 healthcare organisations in the US and internationally, to identify OHCAs from ICD codes for cardiac arrest related to emergency department (ED) visits. To define our cohort of patients eligible to receive post-arrest care, we identified OHCAs that survived to admission based on having a temporally associated inpatient encounter (based on encounter type/Current Procedure Terminology codes) or an ED visit lasting >24 h. We defined survival to discharge as 1) having an encounter after the hospitalisation and 2) having a death date after the end of the hospitalisation. We report patient characteristics and the number of clinical variables available in each data table for the cohort. Results: We identified 222,868 OHCAs and included 88,753 patients (39.8%) who survived to admission. The median age was 65, 60.3% were male, and 59.8% were White. Survival to discharge rate was 48.5%. The database contained 188,038,385 clinical data points: 40,868,707 vital signs, 52,145,594 labs, 17,781,035 procedures, 72,575,389 medication administrations, and 4,667,660 diagnoses. Conclusion: Using Trinetx real-world data, it is possible to create a multicentre, OHCA post-arrest care database with a substantial number of clinical variables, enabling novel post-arrest care research.

Indexed as

Cardiac arrestInpatientOut-of-hospital cardiac arrestPost-arrest careRegistry

Identifiers

PMID41142211
PMCPMC12546797

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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.