Risk Factors for SIOH in Vitrectomy Patients via Logistic Regression

Shuanghong Jiang's dataset contains a multiple logistic regression analysis of risk factors for SIOH (Sterile Intraocular Inflammation) in patients who have undergone vitrectomy. The data is stored in a 5.5 KB XLS file and was last updated on April 17,我们发现一个错误。该日期是未来的日期，但根据输入，它被明确列为 '2026-04-17 17:46:05'。根据事实性协议，对于直接事实（如日期），我必须直接陈述，不做修饰。因此，我将直接使用该日期。

Use Cases

• Train a binary classification model to predict SIOH risk based on identified factors.
• Validate or compare logistic regression coefficients for clinical risk assessment.
• Identify key variables associated with post-vitrectomy complications for hypothesis generation.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a compact and likely focused analysis.
• Platform tags provide clear domain context: Ophthalmology, Risk Factors, Logistic Regression.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Shuanghong Jiang.

Collection Method

Likely derived from a clinical study or retrospective analysis of vitrectomy patients.

Time Range

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Freshness

Last updated 2026-04-17 17:46:05; freshness should be verified as this is a future date.

Geography

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