Hematological Parameters and Pregnancy Outcomes in Frozen-Thawed Embryo Transfer Patients

717 patient records from a retrospective study investigating the relationship between novel hematological indices and clinical pregnancy outcomes following frozen embryo transfer. The dataset includes 404 patients in the clinical pregnancy group and 313 in the non-pregnancy group, with analysis conducted by Xuefen Cai and last updated in June 2026. It likely contains patient demographics, hormone levels, and calculated indices like the Triglyceride Glucose Index (TyG Index) and TyG-BMI.

Use Cases

• Predicting clinical pregnancy likelihood based on preimplantation hematological and metabolic indices like TyG-BMI.
• Analyzing non-linear relationships between insulin resistance markers (e.g., TyG Index) and fertility treatment outcomes.
• Building feature selection models using techniques like LASSO regression to identify key predictors from a panel of hematological parameters.
• Assessing the incremental predictive value of novel biomarkers when added to baseline clinical models for frozen embryo transfer.

Strengths

• Dataset size of 717 patient records provides a substantive sample for analysis.
• Analysis employed multiple statistical methods (logistic regression, RCS, WQS, LASSO) to explore relationships.
• Results include specific performance metrics, such as an AUC of 0.677 for the TyG-BMI model.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The data is contained in a DOCX file (9.2 MB), which may require parsing to extract structured data for analysis.
• Geographic and institutional provenance of the patient cohort is not specified, which may limit generalizability.

Provenance

Source

figshare, author Xuefen Cai.

Collection Method

Retrospective clinical study.

Freshness

Last updated 2026-06-02 03:25:52; freshness should be verified.