Postoperative Satisfaction Factors Analyzed by Tear Size Group

Statistical models evaluating factors associated with postoperative satisfaction, fitted separately within tear size groups. Results are presented as odds ratios with 95% confidence intervals and p-values. The dataset was authored by Ala’ Hawa and uploaded to figshare in May 2026.

Use Cases

• Identify demographic or clinical factors influencing patient satisfaction based on the described statistical associations.
• Compare the strength of associations between different tear size groups based on the separate fitted models.
• Validate or contextualize findings from other studies on postoperative outcomes using the odds ratios and confidence intervals.
• Support meta-analyses or systematic reviews by incorporating the reported statistical results.

Strengths

• Results are presented with statistical rigor, including odds ratios, 95% confidence intervals, and p-values.
• Analysis is stratified by tear size group, which may allow for more granular insights.
• The dataset is openly licensed under CC-BY-4.0.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-22 17:34:57; freshness should be verified.