Evidence map›Paper›PMID 40410894›Full record

ArticleCritical care (London, England)2025

Computed tomography perfusion assessment of poor neurological outcome in comatose cardiac arrest patients (CANCCAP): a prospective study.

Jai Shankar, Susan Alcock, Evan Wiens, Marco Ayroso, JaeYeon Park, Navjit Singh, Benjamin Blackwood, Reva Trivedi, Roman Marin, Namita Sinha and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

14 authors.

Jai ShankarDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada. shivajai1@gmail.com.
Susan AlcockDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Evan WiensDepartment of Cardiology, University of Manitoba, Winnipeg, MB, Canada.
Marco AyrosoDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
JaeYeon ParkDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Navjit SinghDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Benjamin BlackwoodDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Reva TrivediDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Roman MarinDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Namita SinhaDepartment of Pathology, University of Manitoba, Winnipeg, MB, Canada.
Anurag TrivediDepartment of Neurology, University of Manitoba, Winnipeg, MB, Canada.
Iain KirkpatrickDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Marco EssigDepartment of Radiology, University of Manitoba, Winnipeg, MB, Canada.
Stephen SchafferDepartment of Cardiology, University of Manitoba, Winnipeg, MB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputed tomography perfusion (CTP) of the brain, are increasingly being employed for the assessment of critically ill patients admitted to intensive care units (ICU), including comatose cardiac arrest patients (CCAP). The purpose of our study was to validate the use of CTP in predicting in-hospital mortality in CCAPs.

methodThis prospective cohort study enrolled newly admitted adult CCAP, with an out of hospital cardiac arrest (OHCA) and were scheduled for admission to the ICU for further management. Just before ICU admission, CCAP underwent a routine CT scan of the head and CTP of whole head. The treating physicians remained blinded to the CTP results and all patients received standard management. The CTP maps were evaluated to determine a binary outcome of non-survivable brain injury (NSBI), by two independent neuroradiologists, blinded to each other's assessment and to the clinical history of the patients.

resultsA total of 91 patients were enrolled and 90 (Male-78; mean age-62 years) were included in the final analysis. One patient declined consent. Of these, 42 individuals (47%) had in-hospital mortality. Patients with in-hospital mortality were older; had higher levels of creatinine, blood urea nitrogen, blood CO

conclusionCTP was safe and demonstrated very high specificity and positive predictive value and may be used as an additional diagnostic tool for identifying patients at high risk of in-hospital mortality.

Indexed as

ComaHeart ArrestTomography, X-Ray ComputedAgedCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesCardiac arrestComatosed cardiac arrest patientsCT perfusionIn-hospital mortalityNeurological outcome

Identifiers

PMID40410894
PMCPMC12102899

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.