Table 1_Predictive value of postoperative C-reactive protein-to-albumin ratio for severe c

A retrospective analysis of clinical data from 200 gastric cancer patients who underwent radical gastrectomy between January 2023 and December 2024. The dataset likely contains patient records used to assess the predictive value of the C-reactive protein-to-albumin ratio (CAR) for severe postoperative complications. It was authored by Shoukun Chen and shared under a CC-BY-4.0 license.

Use Cases

• Predicting severe postoperative complications (Clavien-Dindo grade ≥III) based on POD 3 CAR levels.
• Analyzing the relationship between surgical factors like operation time and incision type with complication rates.
• Evaluating the performance of the CAR biomarker via ROC curve analysis for clinical decision support.
• Comparing postoperative hospital stay lengths between patient groups with high and low CAR values.

Strengths

• Includes data from 200 patient records with a defined study period from 2023 to 2024.
• Analysis identifies specific predictive thresholds, such as a CAR of 2.85 on postoperative day 3.
• Employs established clinical metrics like the Clavien-Dindo classification for complication severity.

Limitations

• The dataset is very small at 14.9 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The authors note a limited number of severe events (n=18) and a lack of internal or external validation for the biomarker.

Provenance

Source

figshare

Collection Method

Retrospective analysis of clinical patient data.

Time Range

January 2023 to December 2024

Freshness

Last updated 2026-04-30 05:41:27; freshness should be verified.