Risk Factors for SIOH in Vitrectomy Patients: Univariate Logistic Regression

5.5 KB of tabular data from a univariate logistic regression analysis of risk factors for SIOH (Sustained Intraocular Hypotony) in patients who underwent vitrectomy. The dataset was authored by Shuanghong Jiang and last updated on April 17, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Train a binary classification model to predict SIOH risk based on the identified factors.
• Benchmark feature importance for SIOH using the univariate logistic regression results.
• Conduct a meta-analysis of vitrectomy complications by incorporating this statistical summary.
• Validate clinical risk prediction tools against the regression coefficients provided.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Specific focus on a defined medical outcome (SIOH) and procedure (vitrectomy).
• Clear methodological context: univariate logistic regression.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection.

Provenance

Source

figshare, author Shuanghong Jiang.

Collection Method

Likely derived from a clinical study or retrospective analysis, as indicated by the logistic regression methodology.

Time Range

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Freshness

Last updated 2026-04-17 17:46:04; freshness should be verified.

Geography

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