Evidence map›Paper›PMID 33225256›Full record

ArticleWorld neurosurgery: X2021

Smoking Status Affects the Association Between Hematoma Heterogeneity and Hematoma Expansion.

Haihua Wei, Hongye Feng, Minrui Lv, Ying Zhong, Xiaolin Yang, Xi Zhou, Zhihao Lei, Jun Xia

Abstract read
In one paragraph

Article in World neurosurgery: X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Haihua WeiDepartment of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Hongye FengDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Minrui LvDepartment of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Ying ZhongThe First Clinical Medical College, Guangdong Medical University, Zhanjiang, China.
Xiaolin YangDepartment of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xi ZhouDepartment of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Zhihao LeiDepartment of Neurology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Jun XiaDepartment of Radiology, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to verify the relationship between hematoma heterogeneity and hematoma expansion and explore any effect modifiers through subgroup analyses.

methodsClinical records of 357 patients with spontaneous cerebral hemorrhage at Shenzhen Second People's Hospital from March 2016 to October 2018 were included in the study. Hematoma heterogeneity was measured on the first noncontrast computed tomography image according to the Barras scale. Hematoma expansion was defined as an absolute hematoma volume increase of 6 mL, or a 33% increase. We performed univariate and multivariate logistic regression analyses, as well as subgroup analyses, to assess the relationship between the presence of heterogeneity on noncontrast computed tomography and hematoma expansion.

resultsHematoma expansion occurred in 79 (22.13%) of the 357 patients with intracerebral hemorrhage (ICH). Among the patients with ICH, there were 83 smokers, accounting for 23.24%. The average patient age was 56.21 ± 13.75 years, and 74.51% were male. Compared with the absence of heterogeneity, the risk of hematoma expansion increased by 1.06 times (odds ratio, 2.06; 95% confidence interval, 1.10-3.86). Based on the subgroup analysis, smoking status was found to modify the association between heterogeneity and hematoma expansion; the association was stronger in smokers than in nonsmokers (odds ratio, 10.23; 95% confidence interval, 2.15-48.65).

conclusionsHeterogeneity independently predicts hematoma expansion, especially in smoking patients.

Indexed as

CI, Confidence intervalCT, Computed tomographyDBP, Diastolic blood pressureHematoma expansionHematoma heterogeneityICH, Intracerebral hemorrhageIntracerebral hemorrhageIQR, Interquartile rangeOR, Odds ratioSmoking

Identifiers

PMID33225256
PMCPMC7666337

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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.