Evidence map›Paper›PMID 42487083›Full record

ArticleNeurocritical care2026

Hematoma Coagulation is Associated with Perihematoma Edema Volume in Patients with Acute Intracerebral Hemorrhage.

Gabriel Galan Castro, Seth B Boren, Faruk Md Hossain, Khader M Hasan, Kareem M Elzamly, Hailey Allen, Vahed Maroufy, Clark W Sitton, Jaroslaw Aronowski, Sean I Savitz and 1 more

Abstract read
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Article in Neurocritical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

11 authors.

Gabriel Galan CastroInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Seth B BorenInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Faruk Md HossainDepartment of Biostatistics and Data Science, School of Public Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX, 77030, USA.
Khader M HasanDepartment of Interventional Diagnostic Radiology, School of Public Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Kareem M ElzamlyNeurocritical Care Department of Neurosurgery, School of Public Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Hailey AllenInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Vahed MaroufyDepartment of Biostatistics and Data Science, School of Public Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 1200 Pressler Street, Houston, TX, 77030, USA.
Clark W SittonDepartment of Interventional Diagnostic Radiology, School of Public Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Jaroslaw AronowskiInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Sean I SavitzInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA.
Muhammad E HaqueInstitute for Stroke and Cerebrovascular Diseases and Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, USA. Muhammad.E.Haque@uth.tmc.edu.ORCID http://orcid.org/0000-0002-1453-5618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn acute intracerebral hemorrhage (ICH), hematoma mass and perihematomal edema (PHE) contribute to elevated intracranial pressure (ICP). The release of red blood cell lysis products accelerates PHE formation. Animal studies show that the accumulation of blood-clotting factors contributes to PHE growth. Controlling hematoma expansion (HE) remains a medical priority. Promoting hematoma coagulation reduces HE; however, coagulation may increase PHE. Using quantitative magnetic resonance imaging (MRI) for imaging coagulation status, we studied the interaction between coagulation and PHE.

methodsTwenty patients with hypertensive ICH who completed three consecutive MRIs at three time points (T1, T2, T3) within the first 72 h after onset were included in this study. Images were obtained on a 3 T MRI system with three-dimensional (3D) FLAIR, T1w, and multi-gradient echo (mGRE) sequences. FLAIR and mGRE images quantified the hematoma volume (HV) and PHE volume, while clotted blood volume (CBVol) was measured via Quantitative Susceptibility Maps (QSM). Within the hematoma, voxels with susceptibility greater than 0.5 ppm were considered clotted blood. CBVol was analyzed in relation to hematoma and PHE volumes. Group-wise comparisons across serial time points were performed using Wilcoxon signed-rank tests.

resultsAmong 12 M/8F patients, the mean age was 63.4 ± 11.5 years. Between the first (T1) and last imaging (T3), the PHE volume (22.6 ± 14.2 to 31.5 ± 20.2 mL; p = 0.005), and CBVol (3.21 ± 3.3 to 5.58 ± 4.8 mL; p = 0.0007) significantly increased. The CBVol demonstrated a significant positive correlation with PHE volume at T2 (r = 0.543, p < 0.05) and T3 (r = 0.80, p < 0.001). After adjusting for HV, the association remained independently significant at T3 [(partial r = 0.554, p = 0.021)]. Similarly, HV showed a strongly significant association with PHE volume at all time points (p < 0.001), and after adjusting for CBVol, the association remained significant across all time points [(partial r = 0.578-0.692, all p < 0.02)].

conclusionsBoth hematoma clotting and hematoma size influence PHE volume. The findings of this study have implications for clinical management when treating patients with procoagulant therapies.

Indexed as

Acute intracerebral hemorrhageClinical outcomeClotted blood volumeCoagulation factorsPerihematomal edemaSerial magnetic resonance imaging

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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.