Evidence map›Paper›PMID 31244970›Full record

ArticleThe Neurohospitalist2019

Effect of Clinical History on Interpretation of Computed Tomography for Acute Stroke.

Peter Hung, Caitlin Finn, Monica Chen, Ashley Knight-Greenfield, Hediyeh Baradaran, Praneil Patel, Iván Díaz, Hooman Kamel, Ajay Gupta

Abstract read
In one paragraph

Article in The Neurohospitalist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Peter HungClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.ORCID https://orcid.org/0000-0003-0522-8795
Caitlin FinnClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Monica ChenClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Ashley Knight-GreenfieldDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Hediyeh BaradaranDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Praneil PatelDepartment of Radiology, Weill Cornell Medical College, New York, NY, USA.
Iván DíazDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
Hooman KamelClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.
Ajay GuptaClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute, New York, NY, USA.

Funding

AtRial Cardiopathy and Antithrombotic Drugs In prevention After cryptogenicstroke (ARCADIA)U01NS095869 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRODERICK, JOSEPH PAUL, KAMEL, HOOMAN · 2017 to 2022
$22.0M
Predictive model of spread of Parkinson's pathology using network diffusionR01NS092802 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, RAJ, ASHISH · 2016 to 2020
$2.8M
Multiple Sclerosis Lesion Magnetic Susceptibility ActivityR01NS090464 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI WANG, YI · 2015 to 2020
$2.3M
Clinical and Translational Science CenterKL2TR000458 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$2.1M
Left Atrial abNormality, ThromboEmbolism, and Race: Novel risk factors for stroke (LANTERN)R01NS097443 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2016 to 2019
$1.5M
Atrial Fibrillation Precursors May Be Novel Stroke Risk FactorsK23NS082367 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2013 to 2017
$937k
Feasibility of challenge-free QSM based quantitative mapping of cerebral metabolic rate of oxygenR21EB024366 · NIBIB · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOYAL, MANU S, SU, YI · 2017 to 2018
$474k
NCATS NIH HHS KL2 TR000458NIBIB NIH HHS R21 EB024366NINDS NIH HHS K23 NS082367NINDS NIH HHS R01 NS090464NINDS NIH HHS R01 NS092802NINDS NIH HHS R01 NS097443NINDS NIH HHS U01 NS095869
6 · The paper itself

Abstract

objectiveWe assessed whether providing detailed clinical information alongside computed tomography (CT) images improves their interpretation for acute stroke.

methodsUsing the prospective Cornell AcutE Stroke Academic Registry, we randomly selected 100 patients who underwent noncontrast head CT within 6 hours of transient ischemic attack or minor acute ischemic stroke and underwent magnetic resonance imaging (MRI) within 6 hours of the CT. Three radiologist investigators evaluated each of the 100 CT studies twice, once with and once without accompanying information on medical history, signs, and symptoms. In random sequence, each study was interpreted in one condition (ie, with or without detailed accompanying information) and then after a 4-week washout period, in the opposite condition. Using MRI diffusion-weighted imaging (DWI) as the reference standard, we classified CT interpretations as correct (true positives or negatives) or incorrect (false positives or negatives). We used logistic regression with sandwich estimators to compare the proportion of correct interpretations.

resultsIn patients with DWI-defined infarcts, acute ischemia was called on 20% of CTs with detailed history and 18% without history. In patients without infarcts, the absence of ischemia was called on 77% of CTs with history and 77% without history. The proportion of correct interpretations of CTs accompanied by detailed clinical history (49%) did not differ significantly from those without history (47%; odds ratio: 1.1; 95% confidence interval: 0.8-1.4).

conclusionsReported findings on head CT for evaluation of suspected acute ischemic stroke were similar regardless of whether detailed clinical history was provided.

Indexed as

anatomic imagingcerebrovascular disordersclinical specialtyischemic attackneuroradiologystroketechniquestransient

Identifiers

PMID31244970
PMCPMC6582386

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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.