Evidence map›Paper›PMID 37422167›Full record

ArticleResuscitation2023

Diagnostic yield of computed tomography after non-traumatic out-of-hospital cardiac arrest.

Jonathan Tam, Christopher Soufleris, Cecelia Ratay, Adam Frisch, Jonathan Elmer, Nicholas Case, Katharyn L Flickinger, Clifton W Callaway, Patrick J Coppler, University of Pittsburgh Post-Cardiac Arrest Service

Open access · greenAbstract read
In one paragraph

Article in Resuscitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Balloon occlusion of the aorta during cardiac arrest -a death blow to the intestines?Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Neurological diseases in intensive care.Intensive care medicine · 2023
    Article
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 at 1 institution in 1 country.

Jonathan TamDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Christopher SouflerisDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Cecelia RatayDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Adam FrischDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jonathan ElmerDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Nicholas CaseDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Katharyn L FlickingerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Clifton W CallawayDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Patrick J CopplerDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: copplerpj@upmc.edu.
University of Pittsburgh Post-Cardiac Arrest Service
University of Pittsburgh · US

Funding

Emergency Medicine Research TrainingT32HL134615 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Clifton W. Callaway, DONALD M YEALY · 2017 to 2026
$2.4M
NHLBI NIH HHS T32 HL134615
6 · The paper itself

Abstract

aimDetermine the frequency with which computed tomography (CT) after out-of-hospital cardiac arrest (OHCA) identifies clinically important findings.

methodsWe included non-traumatic OHCA patients treated at a single center from February 2019 to February 2021. Clinical practice was to obtain CT head in comatose patients. Additionally, CT of the cervical spine, chest, abdomen, and pelvis were obtained if clinically indicated. We identified CT imaging obtained within 24 hours of emergency department (ED) arrival and summarized radiology findings. We used descriptive statistics to summarize population characteristics and imaging results, report their frequencies and, post hoc, compared time from ED arrival to catheterization between patients who did and did not undergo CT.

resultsWe included 597 subjects, of which 491 (82.2%) had a CT obtained. Time to CT was 4.1 hours [2.8-5.7]. Most (n = 480, 80.4%) underwent CT head, of which 36 (7.5%) had intracranial hemorrhage and 161 (33.5%) had cerebral edema. Fewer subjects (230, 38.5%) underwent a cervical spine CT, and 4 (1.7%) had acute vertebral fractures. Most subjects (410, 68.7%) underwent a chest CT, and abdomen and pelvis CT (363, 60.8%). Chest CT abnormalities included rib or sternal fractures (227, 55.4%), pneumothorax (27, 6.6%), aspiration or pneumonia (309, 75.4%), mediastinal hematoma (18, 4.4%) and pulmonary embolism (6, 3.7%). Significant abdomen and pelvis findings were bowel ischemia (24, 6.6%) and solid organ laceration (7, 1.9%). Most subjects that had CT imaging deferred were awake and had shorter time to catheterization.

conclusionsCT identifies clinically important pathology after OHCA.

Indexed as

Out-of-Hospital Cardiac ArrestThoracic InjuriesEmergency Service, HospitalHumansIntracranial HemorrhagesRetrospective StudiesTomography, X-Ray ComputedCardiac arrestComputed tomographyHeart arrestInjuries

Identifiers

PMID37422167
PMCPMC11527794
OpenAlexW4383340930

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.