Evidence map›Paper›PMID 36893103›Full record

ArticlePloS one2023

Clinical criteria to exclude acute vascular pathology on CT angiogram in patients with dizziness.

Long H Tu, Ajay Malhotra, Arjun K Venkatesh, Richard A Taylor, Kevin N Sheth, Reza Yaesoubi, Howard P Forman, Soundari Sureshanand, Dhasakumar Navaratnam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.9field-weighted citation impact, top 27% 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, 7 citations in OpenAlex.

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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 at 1 institution in 1 country.

Long H TuDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States of America.ORCID 0000-0002-2419-5581
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States of America.
Arjun K VenkateshDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.ORCID 0000-0002-8248-0567
Richard A TaylorDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.ORCID 0000-0002-9082-6644
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States of America.
Reza YaesoubiHealth Policy and Management, Yale School of Public Health, New Haven, CT, United States of America.ORCID 0000-0002-9276-5750
Howard P FormanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States of America.
Soundari SureshanandYale Center for Clinical Investigation, Yale School of Medicine, New Haven, CT, United States of America.
Dhasakumar NavaratnamDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States of America.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundPatients presenting to the emergency department (ED) with dizziness may be imaged via CTA head and neck to detect acute vascular pathology including large vessel occlusion. We identify commonly documented clinical variables which could delineate dizzy patients with near zero risk of acute vascular abnormality on CTA.

methodsWe performed a cross-sectional analysis of adult ED encounters with chief complaint of dizziness and CTA head and neck imaging at three EDs between 1/1/2014-12/31/2017. A decision rule was derived to exclude acute vascular pathology tested on a separate validation cohort; sensitivity analysis was performed using dizzy "stroke code" presentations.

resultsTesting, validation, and sensitivity analysis cohorts were composed of 1072, 357, and 81 cases with 41, 6, and 12 instances of acute vascular pathology respectively. The decision rule had the following features: no past medical history of stroke, arterial dissection, or transient ischemic attack (including unexplained aphasia, incoordination, or ataxia); no history of coronary artery disease, diabetes, migraines, current/long-term smoker, and current/long-term anti-coagulation or anti-platelet medication use. In the derivation phase, the rule had a sensitivity of 100% (95% CI: 0.91-1.00), specificity of 59% (95% CI: 0.56-0.62), and negative predictive value of 100% (95% CI: 0.99-1.00). In the validation phase, the rule had a sensitivity of 100% (95% CI: 0.61-1.00), specificity of 53% (95% CI: 0.48-0.58), and negative predictive value of 100% (95% CI: 0.98-1.00). The rule performed similarly on dizzy stroke codes and was more sensitive/predictive than all NIHSS cut-offs. CTAs for dizziness might be avoidable in 52% (95% CI: 0.47-0.57) of cases.

conclusionsA collection of clinical factors may be able to "exclude" acute vascular pathology in up to half of patients imaged by CTA for dizziness. These findings require further development and prospective validation, though could improve the evaluation of dizzy patients in the ED.

Indexed as

DizzinessStrokeAdultAngiographyCross-Sectional StudiesEmergency Service, HospitalHumansTomography, X-Ray ComputedVertigo

Identifiers

PMID36893103
PMCPMC9997874
OpenAlexW4323652535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.