Acute Glycemic Variability and Short-Term Mortality in Subarachnoid Hemorrhage Patients

Seven cohort studies involving 10,119 adult patients with subarachnoid hemorrhage (SAH), among whom 2,485 died within 90 days. This meta-analysis, published by Lin Huang in 2026, pools odds ratios to evaluate the association between acute glucose variability during hospitalization and short-term mortality. The data was aggregated from longitudinal observational studies sourced from PubMed, Embase, Web of Science, Wanfang, and CNKI.

Use Cases

• Assessing the prognostic value of acute glycemic variability for short-term mortality based on pooled odds ratios.
• Comparing the strength of association between glucose monitoring durations (>3 days vs. ≤3 days) based on subgroup analysis results.
• Evaluating the consistency of the glycemic variability-mortality link across study designs, geographic regions, and patient demographics based on subgroup findings.

Strengths

• Pooled results from 7 studies involving 10,119 patients provide a substantial sample size.
• The analysis reports a specific pooled odds ratio (OR 1.64) with a 95% confidence interval (1.34–2.01) and low heterogeneity (I² = 15%).
• Subgroup analyses are detailed, examining factors like monitoring duration, study design, and geographic region.

Limitations

• The dataset is a single 18.5 KB DOCX file containing summary meta-analysis results, not the underlying patient-level data.
• Column-level documentation and row count for the original studies are unknown, limiting reproducibility and granular analysis.
• The temporal coverage of the included source studies is not specified beyond 'from inception' of the searched databases.

Provenance

Source

Lin Huang

Collection Method

Meta-analysis of longitudinal observational studies identified via systematic search of PubMed, Embase, Web of Science, Wanfang, and CNKI.

Freshness

Last updated 2026-05-13 04:41:07.