Evidence map›Paper›PMID 34569877›Full record

ArticleInternational journal of stroke : official journal of the International Stroke Society2022

The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume.

Stefan P Haider, Adnan I Qureshi, Abhi Jain, Hishan Tharmaseelan, Elisa R Berson, Shahram Majidi, Christopher G Filippi, Adrian Mak, David J Werring, Julian N Acosta and 6 more

Abstract read
In one paragraph

Article in International journal of stroke : official journal of the International Stroke Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

16 authors.

Stefan P HaiderDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7640-3645
Adnan I QureshiZeenat Qureshi Stroke Institute and Department of Neurology, University of Missouri, Columbia, MO, USA.
Abhi JainDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Hishan TharmaseelanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Elisa R BersonDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Shahram MajidiDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Christopher G FilippiDepartment of Radiology, Tufts University School of Medicine, Boston, MA, USA.
Adrian MakDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
David J WerringStroke Research Centre, University College London, Queen Square Institute of Neurology, London, UK.
Julian N AcostaDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9223-6640
Jennifer A KimDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Lauren H SansingDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Guido J FalconeDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Seyedmehdi PayabvashDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.

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
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
The Recovery in Stroke Using PAP (RISE UP) StudyR01NR018335 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, SHETH, KEVIN NAVIN · 2019 to 2023
$3.4M
Southern New England Partnership In Stroke Research, Innovation and Treatment (SPIRIT)U24NS107215 · NINDS · YALE UNIVERSITY · PI MARK Jay ALBERTS, Karen L Furie · 2018 to 2026
$3.0M
Dynamic Neuroimmune Profiling in Patients with Acute Intracerebral HemorrhageR01NS097728 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2016 to 2020
$2.8M
Efferocytosis and the resolution of inflammation after intracerebral hemorrhageR01NS095993 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2016 to 2020
$1.8M
Yale Clinical Site: Investigations For Improved Neurological Treatments at Yale (INFINITY)U24NS107136 · NINDS · YALE UNIVERSITY · PI SHETH, KEVIN NAVIN, SPUDICH, SERENA S · 2018 to 2022
$1.7M
Precision blood pressure management after endovascular stroke therapy based on real-time autoregulation measurementsK23NS110980 · NINDS · YALE UNIVERSITY · PI PETERSEN, NILS H. · 2020 to 2024
$951k
Targeting Myeloid Populations to Reduce Injury after Intracerebral HemorrhageK08NS078110 · NINDS · YALE UNIVERSITY · PI SANSING, LAUREN H · 2012 to 2016
$938k
Big Data Neuroimaging to Predict Motor Behavior After StrokeK01HD091283 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIEW, SOOK-LEI · 2017 to 2020
$802k
Doris Duke Charitable Foundation 2020097NCATS NIH HHS UL1 TR001863NHLBI NIH HHS T35 HL007649NIA NIH HHS K76 AG059992NIA NIH HHS P30 AG021342NICHD NIH HHS K01 HD091283NINDS NIH HHS K08 NS078110NINDS NIH HHS K23 NS110980NINDS NIH HHS K23 NS118056NINDS NIH HHS R01 NS095993NINDS NIH HHS R01 NS097728NINDS NIH HHS R03 NS112859NINDS NIH HHS U01 NS106513NINDS NIH HHS U24 NS107136NINDS NIH HHS U24 NS107215NINR NIH HHS R01 NR018335
6 · The paper itself

Abstract

backgroundAmong prognostic imaging variables, the hematoma volume on admission computed tomography (CT) has long been considered the strongest predictor of outcome and mortality in intracerebral hemorrhage.

aimsTo examine whether different features of hematoma shape are associated with functional outcome in deep intracerebral hemorrhage.

methodsWe analyzed 790 patients from the ATACH-2 trial, and 14 shape features were quantified. We calculated Spearman's Rho to assess the correlation between shape features and three-month modified Rankin scale (mRS) score, and the area under the receiver operating characteristic curve (AUC) to quantify the association between shape features and poor outcome defined as mRS>2 as well as mRS > 3.

resultsAmong 14 shape features, the maximum intracerebral hemorrhage diameter in the coronal plane was the strongest predictor of functional outcome, with a maximum coronal diameter >∼3.5 cm indicating higher three-month mRS scores. The maximum coronal diameter versus hematoma volume yielded a Rho of 0.40 versus 0.35 (

conclusionsA coronal-plane maximum diameter measurement offers greater prognostic value in deep intracerebral hemorrhage than hematoma volume. This simple shape metric may expedite assessment of admission head CTs, offer a potential biomarker for hematoma size eligibility criteria in clinical trials, and may substitute volume in prognostic intracerebral hemorrhage scoring systems.

Indexed as

StrokeCerebral HemorrhageHematomaHumansPrognosisROC Curvecomputed tomographyCThematomaIntracerebral hemorrhageoutcomeshape featurevolume

Identifiers

PMID34569877
PMCPMC9005571

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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.