ArticleJAMA neurology2016
Association Between Hypodensities Detected by Computed Tomography and Hematoma Expansion in Patients With Intracerebral Hemorrhage.
Article in JAMA neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 4 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
113 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis.Neuroradiology · 2024Pooled it
- Island Sign Predicts Hematoma Expansion and Poor Outcome After Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2020Pooled it
- Accuracy of spot sign in predicting hematoma expansion and clinical outcome: A meta-analysis.Medicine · 2018Pooled it
- Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis.BioMed research international · 2018Pooled it
- Tranexamic acid for acute intracerebral haemorrhage growth based on imaging assessment (TRAIGE): a multicentre, randomised, placebo-controlled trial.Stroke and vascular neurology · 2021Trial
- Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning.Brain and behavior · 2021Trial
- Blood pressure reduction and noncontrast CT markers of intracerebral hemorrhage expansion.Neurology · 2017Trial
- Intensive Blood Pressure Reduction and Spot Sign in Intracerebral Hemorrhage: A Secondary Analysis of a Randomized Clinical Trial.JAMA neurology · 2017Trial
- The frequency and predictors of hematoma expansion in wake-up intracerebral hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Integrating Time-Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score.Annals of clinical and translational neurology · 2026Article
- Prediction of intracerebral hemorrhage hematoma expansion: value of a novel deep learning system score.European radiology · 2026Article
- Predictive performance of non-contrast CT signs for hematoma expansion: A comparative analysis across traditional, revised, and conservative definitions.Neuroradiology · 2026Article
- Impact of CT slice thickness on hematoma volume estimation by planimetry and ABC/2 in acute intracerebral hemorrhage.Neuroradiology · 2026Article
- Transforming Intracerebral Hemorrhage Care with Artificial Intelligence: Opportunities, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2026Review
- Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage.World journal of radiology · 2026Article
- Temporal evolution of non-contrast CT markers of expansion relates to the dynamics of acute intracerebral hemorrhage.Neuroradiology · 2025Observational
- Development and validation of the HIGHT prediction model for early hematoma expansion in spontaneous intracerebral hemorrhage.Scientific reports · 2025Article
- Clinical and Radiological Predictors for Early Hematoma Expansion After Spontaneous Intracerebral Hemorrhage: A Retrospective Study.Neurology international · 2025Article
- Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage.Annals of clinical and translational neurology · 2025Article
- Predicting hematoma growth in spontaneous intracerebral hemorrhage: A simplified non-contrast computed tomography based five-point grading approach.World journal of radiology · 2025Article
53 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors.
Funding
Abstract
importanceHematoma expansion is a potentially modifiable predictor of poor outcome following an acute intracerebral hemorrhage (ICH). The ability to identify patients with ICH who are likeliest to experience hematoma expansion and therefore likeliest to benefit from expansion-targeted treatments remains an unmet need. Hypodensities within an ICH detected by noncontrast computed tomography (NCCT) have been suggested as a predictor of hematoma expansion.
objectiveTo determine whether hypodense regions, irrespective of their specific patterns, are associated with hematoma expansion in patients with ICH. DESIGN, SETTING, AND
participantsWe analyzed a large cohort of 784 patients with ICH (the development cohort; 55.6% female), examined NCCT findings for any hypodensity, and replicated our findings on a different cohort of patients (the replication cohort; 52.7% female). Baseline and follow-up NCCT data from consecutive patients with ICH presenting to a tertiary care hospital between 1994 and 2015 were retrospectively analyzed. Data analyses were performed between December 2015 and January 2016. MAIN OUTCOMES AND MEASURES: Hypodensities were analyzed by 2 independent blinded raters. The association between hypodensities and hematoma expansion (>6 cm3 or 33% of baseline volume) was determined by multivariable logistic regression after controlling for other variables associated with hematoma expansion in univariate analyses with P ≤ .10.
resultsA total of 1029 patients were included in the analysis. In the development and replication cohorts, 222 of 784 patients (28.3%) and 99 of 245 patients (40.4%; 321 of 1029 patients [31.2%]), respectively, had NCCT scans that demonstrated hypodensities at baseline (κ = 0.87 for interrater reliability). In univariate analyses, hypodensities were associated with hematoma expansion (86 of 163 patients with hematoma expansion had hypodensities [52.8%], whereas 136 of 621 patients without hematoma expansion had hypodensities [21.9%]; P < .001). The association between hypodensities and hematoma expansion remained significant (odds ratio, 3.42 [95% CI, 2.21-5.31]; P < .001) in a multivariable model; other independent predictors of hematoma expansion were a CT angiography spot sign, a shorter time to CT, warfarin use, and older age. The independent predictive value of hypodensities was again demonstrated in the replication cohort (odds ratio, 4.37 [95% CI, 2.05-9.62]; P < .001). CONCLUSION AND RELEVANCE: Hypodensities within an acute ICH detected on an NCCT scan may predict hematoma expansion, independent of other clinical and imaging predictors. This novel marker may help clarify the mechanism of hematoma expansion and serve as a useful addition to clinical algorithms for determining the risk of and treatment stratification for hematoma expansion.
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