A Prediction Model of Hematological Recovery After High-dose Chemotherapy in Pediatric Solid Tumor
NCT ID: NCT05024331
Last Updated: 2021-09-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
10 participants
OBSERVATIONAL
2021-07-30
2021-08-12
Brief Summary
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Detailed Description
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Early blood culture and experiential intravenous antibiotics are required to prevent progression to sepsis if fever or other infection signs are accompanied by a decrease in absolute neutrophil count (ANC) below 500/mm3. In addition, repeated blood transfusions are needed to keep the appropriate levels constant depending on clinical symptoms in platelet reduction or anemia.
In particular, in the case of high-dose chemotherapy conducted on high-risk tumors, anticancer drugs are given over the dose expected to recover natural bone marrow function to improve the treatment performance of tumors responding to chemotherapy. Moreover, it is challenging to recover naturally after high-dose chemotherapy so that the collected in advanced hematopoietic stem cells are implanted into the patient to support ANC level recovery.
However, despite the transplantation of these self-hematopoietic stem cells, some patients need long-term continuous blood transfusions due to delayed hematological recovery and may need long-term hospitalization to treat accompanying infections and complications.
The researcher developed a model that can predict the suppression and hematological recovery of bone marrow after high-capacity anticancer drugs by analyzing blood tests and blood transfusions repeatedly from the diagnosis of pediatric solid tumors after high-capacity chemotherapy collected from 2000-2018.
Conditions
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Study Design
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CASE_ONLY
RETROSPECTIVE
Study Groups
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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.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* A person who voluntarily agrees to participate in the study
Exclusion Criteria
19 Years
ALL
Yes
Sponsors
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Samsung Medical Center
OTHER
Responsible Party
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Locations
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Samsung Medical Centre
Seoul, , South Korea
Countries
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Other Identifiers
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2021-02-059
Identifier Type: -
Identifier Source: org_study_id
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