Evidence map›Paper›PMID 39815189›Full record

ArticleBMC neurology2025

Predicting the risk of hematoma expansion in acute intracerebral hemorrhage: the GIVE score.

Tian-Nan Yang, Xin-Ni Lv, Zi-Jie Wang, Xiao Hu, Li-Bo Zhao, Jing Cheng, Qi Li

Abstract read
In one paragraph

Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Tian-Nan Yang *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, NO1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Xin-Ni Lv *Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, NO1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Zi-Jie WangDepartment of Neurology, The Second Affiliated Hospital of Anhui Medical University, Anhui, 230601, China.
Xiao HuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, NO1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Li-Bo ZhaoDepartment of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, 402160, China.
Jing ChengDepartment of Neurology and Neurosurgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, 401120, China.
Qi LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, NO1 Youyi Road, Yuzhong District, Chongqing, 400016, China. qili_md@126.com.

Funding

Chongqing Science Fund for Distinguished Young Scholars No. cstc2021jcyj-jqX0029National Natural Science Foundation of China No. 82071337the First Affiliated Hospital of Chongqing Medical University PhD Innovation Program No. CYYY-BSYJSCXXM-202314
6 · The paper itself

Abstract

backgroundNumerous noncontrast computed tomography (NCCT) markers have been reported and validated as effective predictors of hematoma expansion (HE). Our objective was to develop and validate a score based on NCCT markers and clinical characteristics to predict risk of HE in acute intracerebral hemorrhage (ICH) patients.

methodsWe prospectively collected spontaneous ICH patients at the First Affiliated Hospital of Chongqing Medical University to form the development cohort (n = 395) and at the Third Affiliated Hospital of Chongqing Medical University to establish the validation cohort (n = 139). We adopted a revised HE definition, incorporating the standard definition of HE (> 6 mL or > 33%) and intraventricular hemorrhage (IVH) expansion (any new IVH or IVH expansion ≥ 1 ml). The predictive score was formulated based on the parameter estimates derived from the multivariable logistic regression analysis.

resultThe Glasgow Coma Scale, island sign, ventricular hemorrhage and time elapsed from onset to NCCT scan (GIVE) score was created as a total of individual points (0-6) based on Glasgow Coma Scale (2 points for ≤ 11), island sign (1 point for presence), ventricular hemorrhage (1 point for presence), and time elapsed from onset to NCCT scan (2 points for ≤ 2.5 h). The c statistic was 0.72(95% confidence interval [CI], 0.66-0.78) and 0.73(95% CI, 0.63-0.82) in the development and validation cohorts, respectively.

conclusionA six-point scoring algorithm has been developed and validated to assess the risk of HE in patients with ICH. This scoring system facilitates the rapid and accurate identification of patients at increased risk for HE.

Indexed as

Cerebral HemorrhageHematomaAgedAged, 80 and overCohort StudiesFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk FactorsTomography, X-Ray ComputedHematoma expansionIntracerebral hemorrhageNoncontrast computed tomography markers

Identifiers

PMID39815189
PMCPMC11734401

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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.