Evidence map›Paper›PMID 38984035›Full record

ArticleFrontiers in neurology2024

Validation and refinement of a predictive nomogram using artificial intelligence: assessing in-hospital mortality in patients with large hemispheric cerebral infarction.

Jian Ding, Xiaoming Ma, Wendie Huang, Chunxian Yue, Geman Xu, Yumei Wang, Shiying Sheng, Meng Liu, Yi Ren

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Jian DingDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Xiaoming MaDepartment of Neurology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
Wendie HuangDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Chunxian YueDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Geman XuDepartment of Neurology, Affiliated Fuyang People's Hospital of Anhui Medical University, Fuyang, China.
Yumei WangDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Shiying ShengDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Meng LiuDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Yi RenDepartment of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large Hemispheric Infarction (LHI) poses significant mortality and morbidity risks, necessitating predictive models for in-hospital mortality. Previous studies have explored LHI progression to malignant cerebral edema (MCE) but have not comprehensively addressed in-hospital mortality risk, especially in non-decompressive hemicraniectomy (DHC) patients. Methods: Demographic, clinical, risk factor, and laboratory data were gathered. The population was randomly divided into Development and Validation Groups at a 3:1 ratio, with no statistically significant differences observed. Variable selection utilized the Bonferroni-corrected Boruta technique ( Results: This study included 314 patients with acute anterior-circulating LHI, with 29.6% in the Death group ( Conclusion: We have utilized NIHSS score, Collateral Score, NLR, mechanical ventilation, non-MCA territorial involvement, and midline shift to develop a highly accurate, user-friendly nomogram for predicting in-hospital mortality in LHI patients. This nomogram serves as valuable reference material for future studies on LHI patient prognosis and mortality prevention, while addressing previous research limitations.

Indexed as

cerebral infarctionmortalitynomogramprognosisROC curvestroke

Identifiers

PMID38984035
PMCPMC11231922

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