Construction of Perioperative Medical Data Platform and Its Typical Practice to Predict Postoperative Acute Moderate to Severe Pain With Machine Learning Models

October 3, 2022 updated by: Hui Zhang, Guangdong Second Provincial General Hospital
Data intelligence platform was widely used to facilitate the process of clinical research. However, a platform that integrates natural language processing (NLP) and machine learning (ML) algorithms has not been reported in perioperative medical management.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

6500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
      • Guangzhou, China
        • Recruiting
        • Guangdong Second Provincial General Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Pain assessment was used by Numeric Rating Scale (NRS) score after surgery.

Description

Inclusion Criteria:

  • Patients were included if they were above 18 years old, undergoing non-local anesthesia surgery.

Exclusion Criteria:

  • The basic information such gender, age, height, weight, and body mass index (BMI) were missing.
  • Patients undergoing day surgery, with a history of multiple operations, or entering ICU after surgery, and losing the NRS score during movement at 24h after surgery.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Numeric Rating Scale (NRS) score after surgery <4
Other: No intervention
No intervention
Numeric Rating Scale (NRS) score after surgery ≥ 4
Other: No intervention
No intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Area under the curve
Time Frame: April 2020 to May 2021
It measures the prediction effect of the algorithm model
April 2020 to May 2021

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Guangdong Second Provincial General Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

October 1, 2022

Primary Completion (Anticipated)

October 1, 2023

Study Completion (Anticipated)

December 1, 2023

Study Registration Dates

First Submitted

October 3, 2022

First Submitted That Met QC Criteria

October 3, 2022

First Posted (Actual)

October 6, 2022

Study Record Updates

Last Update Posted (Actual)

October 6, 2022

Last Update Submitted That Met QC Criteria

October 3, 2022

Last Verified

October 1, 2022

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Guangdong2nd

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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