Long Non-Coding RNAs as Diagnostic Biomarkers for Ischemic Stroke
Author Information
Author(s): Pan Jianwei, Fan Weijian, Gu Chenjie, Xi Yongmei, Wang Yu, Wang Peter
Primary Institution: The First Affiliated Hospital, Zhejiang University School of Medicine
Hypothesis
This study seeks to investigate the potential diagnostic value of long non-coding RNAs (lncRNAs) for ischemic stroke by analyzing existing research.
Conclusion
LncRNAs demonstrated strong diagnostic accuracy in distinguishing ischemic stroke patients from healthy controls, underscoring their potential as reliable biomarkers.
Supporting Evidence
- The pooled sensitivity of lncRNAs in the diagnosis of ischemic stroke was 79%.
- The pooled specificity was 88%.
- The area under the curve (AUC) was 0.88.
- LncRNA H19 had superior diagnostic performance.
- Seventeen studies reported the potential of lncRNAs as biomarkers of ischemic stroke.
Takeaway
Researchers found that certain long non-coding RNAs can help doctors tell if someone has had a stroke, which is really important for getting them the right treatment quickly.
Methodology
A comprehensive literature search was conducted across multiple databases, and statistical analyses were performed using Stata 17.0 software to calculate pooled sensitivity, specificity, and other diagnostic metrics.
Potential Biases
The patient selection domain had a higher risk of bias, as all studies were designed as controlled trials.
Limitations
Most of the articles included in this study originate from China, which limits the generalizability of the findings.
Participant Demographics
The study included 4302 ischemic stroke patients and 3725 healthy controls, with variations in age and gender across studies.
Statistical Information
P-Value
p<0.05
Confidence Interval
95% CI: 73–84%
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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