Evidence map›Paper›PMID 39885977›Full record

ArticleResuscitation plus2025

Validity of out-of-hospital and in-hospital cardiac arrest algorithms in the Danish National Patient Registry.

Katrine D Brodersen, Søren R Petersen, Kasper Bonnesen, Christian J Terkelsen, Morten Schmidt

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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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

5 authors.

Katrine D BrodersenDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, DK-8200 Aarhus N, Denmark.
Søren R PetersenDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, DK-8200 Aarhus N, Denmark.
Kasper BonnesenDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, DK-8200 Aarhus N, Denmark.
Christian J TerkelsenDepartment of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus N, Denmark.
Morten SchmidtDepartment of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, DK-8200 Aarhus N, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Cardiac arrest is registered in the Danish National Patient Registry (DNPR) with the International Classification of Diseases 10 Methods: From Aarhus University Hospital, Denmark, we sampled patients with a primary or secondary cardiac arrest discharge diagnosis during 2019-2023. The algorithm categorized these patients as OHCA if they (1) only had a single department course during their hospitalization or (2) had multiple department courses during their hospitalization but were discharged with a cardiac arrest diagnosis from the first department course. The algorithm categorized the remaining patients as IHCA. We randomly sampled 200 patients with algorithm-based OHCA ( Results: Cardiac arrest was confirmed in 192 of 200 cases, yielding a PPV for cardiac arrest overall of 96% (95% CI: 92-98%). The PPV was 87% (95% CI: 79-92%) for OHCA and 61% (95% CI: 51-70%) for IHCA. The results were robust in age and sex strata. Conclusions: The validity of a cardiac arrest diagnosis in the DNPR was overall high. The algorithm to distinguish cardiac arrest subtypes showed a high PPV for OHCA but a poor PPV for IHCA.

Indexed as

Cardiac arrestData qualityEpidemiologyRegistriesValidation

Identifiers

PMID39885977
PMCPMC11780140

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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.