Evidence map›Paper›PMID 35399085›Full record

ArticleCritical care (London, England)2022

External validation of the 2020 ERC/ESICM prognostication strategy algorithm after cardiac arrest.

Chun Song Youn, Kyu Nam Park, Soo Hyun Kim, Byung Kook Lee, Tobias Cronberg, Sang Hoon Oh, Kyung Woon Jeung, In Soo Cho, Seung Pill Choi, Korean Hypothermia Network Investigators

Abstract read
In one paragraph

Article in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. [Neurological prognosis after cardiac arrest and resuscitation].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026
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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

10 authors.

Chun Song YounDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea.
Kyu Nam ParkDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea. emsky@catholic.ac.kr.ORCID 0000-0001-7108-7690
Soo Hyun KimDepartment of Emergency Medicine, Eunpyeong St. Mary Hospital, College of Medicine, The Catholic University of Korea, Seoul, 137-701, South Korea.
Byung Kook LeeDepartment of Emergency Medicine, Chonnam National University Medical School, Gwangju, Korea.
Tobias CronbergDepartment of Clinical Sciences, Neurology, Skåne University Hospital, Lund University, Lund, Sweden.
Sang Hoon OhDepartment of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea.
Kyung Woon JeungDepartment of Emergency Medicine, Chonnam National University Medical School, Gwangju, Korea.
In Soo ChoDepartment of Emergency Medicine, Hanil General Hospital, Korea Electric Power Medical Corporation, Seoul, Korea.
Seung Pill ChoiDepartment of Emergency Medicine, Eunpyeong St. Mary Hospital, College of Medicine, The Catholic University of Korea, Seoul, 137-701, South Korea.
Korean Hypothermia Network Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the performance of the post-cardiac arrest (CA) prognostication strategy algorithm recommended by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) in 2020.

methodsThis was a retrospective analysis of the Korean Hypothermia Network Prospective Registry 1.0. Unconscious patients without confounders at day 4 (72-96 h) after return of spontaneous circulation (ROSC) were included. The association between the prognostic factors included in the prognostication strategy algorithm, except status myoclonus and the neurological outcome, was investigated, and finally, the prognostic performance of the prognostication strategy algorithm was evaluated. Poor outcome was defined as cerebral performance categories 3-5 at 6 months after ROSC.

resultsA total of 660 patients were included in the final analysis. Of those, 108 (16.4%) patients had a good neurological outcome at 6 months after CA. The 2020 ERC/ESICM prognostication strategy algorithm identified patients with poor neurological outcome with 60.2% sensitivity (95% CI 55.9-64.4) and 100% specificity (95% CI 93.9-100) among patients who were unconscious or had a GCS_M score ≤ 3 and with 58.2% sensitivity (95% CI 53.9-62.3) and 100% specificity (95% CI 96.6-100) among unconscious patients. When two prognostic factors were combined, any combination of prognostic factors had a false positive rate (FPR) of 0 (95% CI 0-5.6 for combination of no PR/CR and poor CT, 0-30.8 for combination of No SSEP N20 and NSE 60).

conclusionThe 2020 ERC/ESICM prognostication strategy algorithm predicted poor outcome without an FPR and with sensitivities of 58.2-60.2%. Any combinations of two predictors recommended by ERC/ESICM showed 0% of FPR.

Indexed as

Heart ArrestHypothermia, InducedOut-of-Hospital Cardiac ArrestAlgorithmsCritical CareHumansPrognosisRetrospective StudiesCardiac arrestGuideline algorithmOutcomePrognostic accuracy

Identifiers

PMID35399085
PMCPMC8996564

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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.