Evidence map›Paper›PMID 39411190›Full record

ArticleFrontiers in medicine2024

Morphological characteristics of CT blend sign predict hematoma expansion and outcomes in intracerebral hemorrhage in elderly patients.

Qian Wu, Na Chen, Yunxu Ren, Siying Ren, Fei Ye, Xu Zhao, Guofeng Wu, Likun Wang

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05548530 (Analysis of Related Factors of Hematoma Morphology in Patients With Cerebral Hemorrhage and Prognosis Analysis of Different Regimens for Cerebral Hemorrhage), which is not on this map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

NCT05548530 recruitingnot on this map

Analysis of Related Factors of Hematoma Morphology in Patients With Cerebral Hemorrhage and Prognosis Analysis of Different Regimens for Cerebral Hemorrhage

TypeobservationalSponsorThe Affiliated Hospital Of Guizhou Medical UniversityRan2014 to 2028Enrolled1,000ConditionsBrain HemorrhageArmsStereotactic intracranial hematoma puncture, decompressive craniectomy, Neuroendoscopic
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qian Wu *The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Na Chen *The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yunxu RenThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Siying RenThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Fei YeThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xu ZhaoThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Guofeng WuThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Likun WangThe Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: The underlying basis of the blend sign on brain computed tomography (CT) in patients with intracerebral hemorrhage (ICH) is unclear. Few studies have examined the morphological alterations in the CT blend sign in ICH. Therefore, we assessed changes in the CT blend sign and their association with hematoma expansion (HE) and adverse outcomes in ICH patients. Methods: We recorded the clinical and radiographic parameters of patients with ICH and blend sign on brain CT. The patients were categorized into two groups, with changes in the relatively hypoattenuating region of the blend sign (CHB group) and with no changes in the relatively hypoattenuating region of the blend sign (NHB groups). We performed univariate and multivariate logistic regression analyses to examine the correlations between CHB and HE and poor outcomes. Furthermore, receiver operating characteristic curve analysis was used to confirm the predictive power of CHB. Results: In total, 183 patients were included in the study, of whom 74 (40.4%) demonstrated changes in the hypoattenuating region of the blend sign, whereas 109 (59.6%) did not. Compared with the NHB group, patients in the CHB group exhibited significantly higher levels of HE and adverse outcomes. After adjustment for confounding factors, CHB was independently associated with HE (odds ratio, 19.401 [95% CI, 7.217-52.163]; Conclusion: Changes of a hypoattenuating region within the blend sign have good predictive accuracy for HE and short-term adverse outcomes in elderly patients with ICH. Clinical trial registration: ClinicalTrials.gov, NCT05548530.

Indexed as

blend signelderlyhematoma expansionintracerebral hemorrhagepoor outcomes

Identifiers

PMID39411190
PMCPMC11473336

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