A Prediction Model of Hematological Recovery After High-dose Chemotherapy in Pediatric Solid Tumor
1 other identifier
observational
10
1 country
1
Brief Summary
This study aims to compare and evaluate the predicted values of the participants, and the algorithm predicted values of ANC level reduction periods after high-capacity chemotherapy in pediatric solid tumor patients. The participants are pediatricians who voluntarily participate in this study and consent to this study.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jul 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 30, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2021
CompletedFirst Submitted
Initial submission to the registry
August 10, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
August 12, 2021
CompletedFirst Posted
Study publicly available on registry
August 27, 2021
CompletedSeptember 13, 2021
July 1, 2021
Same day
August 10, 2021
September 7, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
accuracy of algorithm
primary outcome is the difference between result of algorithm and prediction values of doctors. total number of pediatric patients who performed chemotherapy and high-capacity chemotherapy at Samsung Medical Center in 2019-2020 - (Exclusion such as insufficient data or death) +10 reliability check questions expected to be approximately 100 questions The test based on data consisting of blood test results from approximately 100 patients, is recorded in anticipation of the first date (recovery date) of a day when ANC levels over 500 last more than 3 days.
This clinical trial is conducted in one day, and the Survey is conducted after completing the test using data from 99 pediatric patients.
A quantitative study on usability
We would like to ask 17 questions to identify the user's thoughts on AI and how they affect change of opinion. The following are examples are as follows: Do you think you can easily adapt to new technologies or programs? Do you value subjective thoughts and experiences over other people's opinions in your work? Do you tend to browse information online when making decisions during work? Apart from this study, are you positive about the use of predictive models in clinical trials? Do you think the items and information in the given data are sufficient to predict the values you want to predict?
This clinical trial is conducted in one day, and the Survey is conducted after completing the test using data from 99 pediatric patients.
Study Arms (1)
Pediatric physicians
Assigned Interventions 1. Prediction of the first date of recovery period with given data about chemotherapy of pediatric patients who diagnosed solid tumor at Samsung medical center during 2010-2018 2. Sees the result of the prediction algorithm. 3. Change or maintain their prediction values. 4. Participate in the usability questionnaires.
Eligibility Criteria
a physician who is working at Samsung Medical Center as a pediatric doctor
You may qualify if:
- physician who is working at Samsung Medical Center as a pediatric doctor
- A person who voluntarily agrees to participate in the study
You may not qualify if:
- Those who disagree with the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Samsung Medical Centre
Seoul, 06351, South Korea
MeSH Terms
Conditions
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 10, 2021
First Posted
August 27, 2021
Study Start
July 30, 2021
Primary Completion
July 30, 2021
Study Completion
August 12, 2021
Last Updated
September 13, 2021
Record last verified: 2021-07