CLINICAL_TRIALS ClinicalTrials.gov record update

Development and Validation of a Machine Learning Model to Predict Hypothermia in Gynecological Laparoscopic Surgery Based on Preoperative Clinical Indicators: A Multicenter Prospective Cohort Study

This page presents selected fields from the linked source record. It does not add a medical interpretation.

Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT07353528
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-25T22:28:36.490089+00:00
Published At: 2026-01-20T00:00:00+00:00
Record Updated At: 2026-01-20
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["Laparoscopic Surgery", "Intraoperative Hypothermia", "Gynecological Surgery"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2026-01-20"
protocolSection.identificationModule.nctId: "NCT07353528"
protocolSection.identificationModule.officialTitle: "Development and Validation of a Machine Learning Model to Predict Hypothermia in Gynecological Laparoscopic Surgery Based on Preoperative Clinical Indicators: A Multicenter Prospective Cohort Study"
protocolSection.statusModule.overallStatus: "NOT_YET_RECRUITING"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

This index keeps the source fields it imported; it may not contain the complete original record. Verify wording and context in the linked source.