Unique ID issued by UMIN | UMIN000050958 |
---|---|
Receipt number | R000057909 |
Scientific Title | Palonosetron for prevention of delayed chemotherapy-induced nausea and vomiting in pediatric patients: a meta-analysis |
Date of disclosure of the study information | 2023/05/01 |
Last modified on | 2024/04/15 08:33:20 |
Palonosetron for prevention of delayed chemotherapy-induced nausea and vomiting in pediatric patients: a meta-analysis
Palonosetron for prevention of delayed chemotherapy-induced nausea and vomiting in pediatric patients: a meta-analysis
Palonosetron for prevention of delayed chemotherapy-induced nausea and vomiting in pediatric patients: a meta-analysis
Palonosetron for prevention of delayed chemotherapy-induced nausea and vomiting in pediatric patients: a meta-analysis
Japan |
Chemotherapy-induced nausea and vomiting
Hematology and clinical oncology |
Malignancy
NO
This study aims to evaluate the efficacy of palonosetron for CINV in pediatric patients.
Safety,Efficacy
Others
Others
Not applicable
Complete response (CR: defined as no emesis and no rescue medication) rate for delayed CINV, defined as occurring CINV after 24 hours from chemotherapy, between palonosetron and first-generation 5-HT3 receptor antagonist in pediatric patients.
CR for overall CINV
CR for acute CINV, defined as CINV occurring within 24 hours from chemotherapy
Incidence of adverse events
Others,meta-analysis etc
Not applicable |
18 | years-old | >= |
Male and Female
We will include randomized controlled trials (RCT) comparing palonosetron with first-generation 5-HT3 receptor antagonists for CINV, evaluating CR in pediatric patients.
Exclude the following
1. Clinical trials comparing different combination regimens including 5-HT3 receptor antagonists and other antiemetics.
2. Incomplete information or data.
1st name | Atsushi |
Middle name | |
Last name | Yamaguchi |
Hokkaido University Hospital
Department of Pharmacy
060-8648
Kita-14-jo, Nishi-5-chome, Kita-ku, Sapporo, Japan
011-706-5681
y-atsushi@huhp.hokudai.ac.jp
1st name | Atsushi |
Middle name | |
Last name | Yamaguchi |
Hokkaido University Hospital
Department of Pharmacy
060-8648
Kita-14-jo, Nishi-5-chome, Kita-ku, Sapporo, Japan
011-706-5681
y-atsushi@huhp.hokudai.ac.jp
Department of Pharmacy, Hokkaido University Hospital
Self funding
Self funding
Not applicable.
Not applicable
Not applicable
Not applicable
NO
2023 | Year | 05 | Month | 01 | Day |
Unpublished
Completed
2023 | Year | 04 | Month | 12 | Day |
2023 | Year | 04 | Month | 12 | Day |
2023 | Year | 04 | Month | 12 | Day |
2023 | Year | 10 | Month | 12 | Day |
We will perform a meta-analysis according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement. We will develop a search strategy to identify related records, with no language restriction, for MEDLINE/PubMed, Embase, Cochrane Library, Web of Science from database inception to March 31, 2023. The search terms will include palonosetron, chemotherapy-induced nausea and vomiting, and randomized controlled trial. Screening and data extraction will be conducted two individuals. We will extract the following data: author, publication year, study design, intervention, CR, incidence of adverse events. Data will be analyze using Review Manager 5.4 software and R. Meta-analysis will be performed using the fixed or random effects model and the Mantel-Haenszel (M-H) method. We will calculate the odds ratio (OR) and 95% confidence interval (95% CI). Statistical significance will be defined as a Z index p-value<0.05. The heterogeneity among studies will be assessed using the Cochran Q test (Chi2) and the I2 statistics: Chi2 p-value <0.1 will correlate high heterogeneity; I2<25%, 25%-50%, and >50% will indicate low, moderate, and high heterogeneity, respectively. To explore the possibility of publication bias, we will generate funnel plots (visual inspection) and will perform Begg's test (rank correlation) and Egger's test (linear regression); an asymmetric funnel plot and a p-value<0.1 implied potential publication bias. Bias risk will be assess using Cochrane Risk of Bias (RoB) Tool.
2023 | Year | 04 | Month | 28 | Day |
2024 | Year | 04 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000057909