Gestational Diabetes Lactogenesis Risk Model Data

figshare hosts a 275.5 KB document detailing a prospective multicenter study with 511 mothers with gestational diabetes mellitus. The research developed and validated a risk prediction model for delayed onset of lactogenesis using logistic regression, achieving an AUC of 0.828. The study was conducted across seven hospitals in Guangdong Province, China, between October 2023 and December 2024.

Use Cases

• Validate the reported risk prediction model for delayed onset of lactogenesis using the identified factors like pre-delivery BMI and Edinburgh Postnatal Depression Scale score.
• Analyze the relationship between serum albumin levels and LATCH score as predictors of lactogenesis timing in the 511-patient cohort.
• Assess the clinical utility of the model's blood glucose control during pregnancy variable via the provided decision curve analysis.
• Reproduce the nomogram construction using the logistic regression methodology described for the specified risk factors.

Strengths

• Model demonstrates high discrimination with an AUC of 0.828 and internal validation AUC of 0.806.
• Study design includes 511 participants from seven tertiary hospitals, providing a multicenter perspective.
• Model performance is evaluated with multiple metrics including sensitivity (70.9%), specificity (83.7%), and Hosmer-Lemeshow test results.

Limitations

• The dataset is contained within a 275.5 KB DOC file, likely a manuscript or data sheet, not a structured data table for direct analysis.
• Sample is geographically limited to five cities in Guangdong Province, China, which may limit generalizability.
• Underlying raw clinical data for the 511 mothers is not provided, only the study's analysis and results.

Provenance

Source

Yu-Ting Luo via figshare.

Collection Method

Prospective study using convenience sampling of hospitalized mothers.

Time Range

October 10, NA to December 8, NA.

Freshness

Data collection concluded in December 2024; the record was last updated in March 2026.

Geography

Seven tertiary hospitals in five cities of Guangdong Province, China.