Evidence map›Paper›PMID 35447508›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2022

When less is more: Non-contrast head CT alone to work-up hypertensive intracerebral hemorrhage.

Claire Chen, Sophia Girgenti, Dania Mallick, Elisabeth B Marsh

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2022. 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
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Claire ChenJohns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States.
Sophia GirgentiJohns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States.
Dania MallickJohns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States.
Elisabeth B MarshJohns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, United States. Electronic address: ebmarsh@jhmi.edu.
Johns Hopkins University · US

Funding

Mindfulness Matters: TheImpact of Mindfulness Based Stress Reduction on Post-Stroke CognitionR21AG068802 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARSH, ELISABETH BREESE · 2020 to 2020
$460k
American Heart Association-American Stroke Association 18IPA34170313NIA NIH HHS R21 AG068802NINDS NIH HHS L30 NS080244
6 · The paper itself

Abstract

Hypertension is a common cause of intracerebral hemorrhage (ICH). The work up typically involves neuroimaging of the brain and blood vessels to determine etiology. However, extensive testing may be unnecessary for presumed hypertensive hemorrhages, and instead prolong hospital stay and increase costs. This study evaluates the predictive utility of hemorrhage location on the non-contrast head CT in determining hypertensive ICH. Patients presenting with non-traumatic ICH between March 2014 and June 2019 were prospectively enrolled. Hemorrhage etiology was determined based on previously defined criteria. Chi square and Student's t tests were used to determine the association between patient demographics, ICH severity, neuroimaging characteristics, and medical variables, with hypertensive etiology. Multivariable regression models and an ROC analysis determined utility of CT to accurately diagnose hypertensive ICH. Data on 380 patients with ICH were collected; 42% were determined to be hypertensive. Along with deep location on CT, black race, history of hypertension, renal disease, left ventricular hypertrophy, and higher admission blood pressure were significantly associated with hypertensive etiology, while atrial fibrillation and anticoagulation were associated with non-hypertensive etiologies. Deep location alone resulted in an area under the curve of 0.726. When history of hypertension was added, this improved to 0.771. Additional variables did not further improve the model's predictability. Hypertensive ICH is associated with several predictive factors. Using deep location and history of hypertension alone correctly identifies the majority of hypertensive ICH without additional work-up. This model may result in more efficient diagnostic testing without sacrificing patient care.

Indexed as

HypertensionIntracranial Hemorrhage, HypertensiveCerebral HemorrhageHumansHypertrophy, Left VentricularRisk FactorsTomography, X-Ray ComputedHemorrhageHypertensionICHImagingPrediction

Identifiers

PMID35447508
PMCPMC11031262
OpenAlexW4224040449

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.