July 16, 2025Frontiers in NeurologyOpen Access

Risk prediction models for short-term mortality in ICU stroke patients: a systematic review and meta-analysis

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Authors

JZJiali ZhangAcademy of Medical Sciences YFYijie FuChengdu University YLYan LiuSun Yat-sen University

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Implication

Systematic review evaluates risk prediction models for short-term mortality in ICU stroke patients, highlighting significant bias and applicability concerns.

Key Points

MAIN FINDING: Prediction models for short-term mortality in ICU stroke patients show good discriminative ability with AUC of 0.82.
KEY EVIDENCE: Among 14 identified models, AUC values ranged from 0.761 to 0.977, indicating variability in performance.
APPROACH: The study analyzed 12 studies, evaluated bias with PROBAST, and performed a meta-analysis using random-effects model.
SIGNIFICANCE: High risk of bias and low applicability indicate that the quality of existing models must be improved for better clinical use.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/689a02c3e6551bb0af8ccb95 https://doi.org/10.3389/fneur.2025.1623645

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Implication

Systematic review evaluates risk prediction models for short-term mortality in ICU stroke patients, highlighting significant bias and applicability concerns.

Risk prediction models for short-term mortality in ICU stroke patients: a systematic review and meta-analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Risk prediction models for short-term mortality in ICU stroke patients: a systematic review and meta-analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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