Data Sheet 1_A predictive nomogram for postoperative ovarian endometrioma recurrence in pa

A retrospective cohort study of 139 patients with congenital obstructive Müllerian anomalies and histologically confirmed ovarian endometrioma, treated between January 2013 and December 2020. The dataset was used to develop and validate a predictive nomogram for recurrence risk, with a mean follow-up of 80.8 months. The study was authored by Xiaotong Liu and published on figshare in March 2026.

Use Cases

• Train a survival analysis model based on the identified risk factors such as preoperative hematometra volume and rASRM score.
• Validate predictive model performance using time-dependent ROC, calibration, and decision curve analysis methods described.
• Analyze the impact of postoperative pregnancy and hormonal treatment duration on recurrence rates.
• Benchmark new predictive models against the reported 5-year AUC of 0.862 and 10-year AUC of 0.808.

Strengths

• Includes 139 patient records with a mean follow-up period of 80.8 months, providing longitudinal data.
• Model performance is quantified with specific metrics: 5-year AUC of 0.862 and 10-year AUC of 0.808.
• Identifies specific, statistically significant risk factors with hazard ratios, such as non-postoperative pregnancy (HR: 5.329).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and institutional bias inherent to a single-center retrospective study.

Provenance

Source

figshare, authored by Xiaotong Liu.

Collection Method

Retrospective cohort study of patients undergoing surgical intervention.

Time Range

Patient treatment from January 2013 to December 2020, with follow-up.

Freshness

Last updated 2026-03-18 07:41:07; freshness should be verified.

Geography

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