Table of Characteristics by Study and Overall for SGLT-2i CKD Trials

Ransmond O. Berchie published a 5.5 KB Excel file on figshare in April 2026. The dataset supports a statistical analysis of how acute biomarker changes modify treatment effects in randomized trials. It illustrates the method using sodium-glucose cotransporter-2 inhibitors and clinical endpoints in chronic kidney disease.

Use Cases

• Applying principal stratification models based on the correlation between potential biomarker changes under treatment and placebo.
• Estimating conditional average treatment effects on clinical endpoints given acute biomarker changes under treatment.
• Illustrating statistical methods for disentangling treatment effects from natural biomarker variability in chronic kidney disease trials.
• Analyzing how acute changes in estimated glomerular filtration rate modify the expected effect of SGLT-2 inhibitors.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a compact and focused dataset.
• The description provides a detailed methodological context for the data's intended use.

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 after download.

Provenance

Source

figshare

Collection Method

Likely derived from or summarizing characteristics of randomized clinical trials, as described in the accompanying methodological paper.

Time Range

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Freshness

Last updated 2026-04-29 17:47:00; freshness should be verified.

Geography

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