Evidence map›Paper›PMID 36160129›Full record

ArticleFrontiers in medicine2022

External validation of the Survival After ROSC in Cardiac Arrest (SARICA) score for predicting survival after return of spontaneous circulation using multinational pan-asian cohorts.

Maehanyi Frances Rajendram, Faraz Zarisfi, Feng Xie, Nur Shahidah, Pin Pin Pek, Jun Wei Yeo, Benjamin Yong-Qiang Tan, Matthew Ma, Sang Do Shin, Hideharu Tanaka and 3 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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  3. Article
  4. Observational
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

13 authors.

Maehanyi Frances RajendramDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Faraz ZarisfiDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Feng XieCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Nur ShahidahDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Pin Pin PekDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Jun Wei YeoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Benjamin Yong-Qiang TanDivision of Neurology, Department of Medicine, National University Health System, Singapore, Singapore.
Matthew MaDepartment of Emergency Medicine, National Taiwan University Hospital, National Taiwan University, Taipei City, Taiwan.
Sang Do ShinDepartment of Emergency Medicine, School of Medicine, Seoul National University, Seoul, South Korea.
Hideharu TanakaDepartment of Emergency Medical System, Graduate School of Kokushikan University, Tokyo, Japan.
Marcus Eng Hock OngDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.
Nan LiuCentre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.
Andrew Fu Wah HoDepartment of Emergency Medicine, Singapore General Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Accurate and timely prognostication of patients with out-of-hospital cardiac arrest (OHCA) who attain return of spontaneous circulation (ROSC) is crucial in clinical decision-making, resource allocation, and communication with family. A clinical decision tool, Survival After ROSC in Cardiac Arrest (SARICA), was recently developed, showing excellent performance on internal validation. We aimed to externally validate SARICA in multinational cohorts within the Pan-Asian Resuscitation Outcomes Study. Materials and methods: This was an international, retrospective cohort study of patients who attained ROSC after OHCA in the Asia Pacific between January 2009 and August 2018. Pediatric (age <18 years) and traumatic arrests were excluded. The SARICA score was calculated for each patient. The primary outcome was survival. We used receiver operating characteristics (ROC) analysis to calculate the model performance of the SARICA score in predicting survival. A calibration belt plot was used to assess calibration. Results: Out of 207,450 cases of OHCA, 24,897 cases from Taiwan, Japan and South Korea were eligible for inclusion. Of this validation cohort, 30.4% survived. The median SARICA score was 4. Area under the ROC curve (AUC) was 0.759 (95% confidence interval, CI 0.753-0.766) for the total population. A higher AUC was observed in subgroups that received bystander CPR (AUC 0.791, 95% CI 0.782-0.801) and of presumed cardiac etiology (AUC 0.790, 95% CI 0.782-0.797). The model was well-calibrated. Conclusion: This external validation study of SARICA demonstrated high model performance in a multinational Pan-Asian cohort. Further modification and validation in other populations can be performed to assess its readiness for clinical translation.

Indexed as

emergency departmentout-of-hospital cardiac arrestprognosisresource allocationretrospective cohort studyreturn of spontaneous circulationscoring systemsurvival

Identifiers

PMID36160129
PMCPMC9492983

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