Evidence map›Paper›PMID 37576575›Full record

ReviewBrain circulation

Computed tomography perfusion stroke mimics on RAPID commercial software: A case-based review.

Amara Ahmed, Omar Hamam, Sanaz Ghaderi Niri, Georg Oeltzchner, Tushar Garg, Omar Elmandouh, Jarunee Intrapiromkul, Vivek Yedavalli

Open access · diamondAbstract readReview
In one paragraph

Review in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

8 authors at 5 institutions in 1 country.

Amara AhmedDepartment of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA.
Omar HamamDivision of Neuroradiology, Massachusetts General Hospital, Boston, MA, USA.
Sanaz Ghaderi NiriDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Georg OeltzchnerDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Tushar GargDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Omar ElmandouhRussell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jarunee IntrapiromkulDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Vivek YedavalliDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Mayo Clinic in Florida · USWinnMed · USFlorida State University · USJohns Hopkins Medicine · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute ischemic stroke (AIS) is a leading cause of morbidity worldwide and can present with nonspecific symptoms, making diagnosis difficult. Many neurologic diseases present similarly to stroke; stroke mimics account for up to half of all hospital admissions for stroke. Stroke therapies carry risk, so accurate diagnosis of AIS is crucial for prompt treatment and prevention of adverse outcomes for patients with stroke mimics. Computed tomography (CT) perfusion techniques have been used to distinguish between nonviable tissue and penumbra. RAPID is an operator-independent, automated CT perfusion imaging software that can aid clinicians in diagnosing strokes quickly and accurately. In this case-based review, we demonstrate the applications of RAPID in differentiating between strokes and stroke mimics.

Indexed as

Acute ischemic strokeemergency medicineneuroimagingstroke mimics

Identifiers

PMID37576575
PMCPMC10419735
OpenAlexW4382677495

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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 OpenQuestion graph.