scholarly journals Soluble interleukin-2 receptor α activation in a Children's Oncology Group randomized trial of interleukin-2 Therapy for Pediatric Acute Myeloid Leukemia

2011 ◽  
Vol 57 (3) ◽  
pp. 398-405 ◽  
Author(s):  
Beverly J. Lange ◽  
Richard K. Yang ◽  
Jacek Gan ◽  
Jaquelyn A. Hank ◽  
Eric L. Sievers ◽  
...  
2015 ◽  
Vol 21 (14) ◽  
pp. 3187-3195 ◽  
Author(s):  
George S. Laszlo ◽  
Todd A. Alonzo ◽  
Chelsea J. Gudgeon ◽  
Kimberly H. Harrington ◽  
Robert B. Gerbing ◽  
...  

2019 ◽  
Vol 8 (9) ◽  
pp. 4454-4464 ◽  
Author(s):  
Rajaram Nagarajan ◽  
Robert Gerbing ◽  
Todd Alonzo ◽  
Donna L. Johnston ◽  
Richard Aplenc ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Ursula Creutzig ◽  
Martin Zimmermann ◽  
Jean-Pierre Bourquin ◽  
Michael N. Dworzak ◽  
Gudrun Fleischhack ◽  
...  

Key Points AML induction with liposomal daunorubicin (80 mg/m2 per day for 3 days) shows antileukemic activity comparable to idarubicin (12 mg/m2 per day for 3 days). Liposomal daunorubicin promises to be more active in the t(8;21) subgroup and causes less treatment-related toxicity.


2016 ◽  
Vol 34 (13) ◽  
pp. 1537-1543 ◽  
Author(s):  
Tamara P. Miller ◽  
Yimei Li ◽  
Marko Kavcic ◽  
Andrea B. Troxel ◽  
Yuan-Shun V. Huang ◽  
...  

Purpose Reporting of adverse events (AEs) in clinical trials is critical to understanding treatment safety, but data on AE accuracy are limited. This study sought to determine the accuracy of AE reporting for pediatric acute myeloid leukemia clinical trials and to test whether an external electronic data source can improve reporting. Methods Reported AEs were evaluated on two trials, Children’s Oncology Group AAML03P1 and AAML0531 arm B, with identical chemotherapy regimens but with different toxicity reporting requirements. Chart review for 12 AEs for patients enrolled in AAML0531 at 14 hospitals was the gold standard. The sensitivity and positive predictive values (PPV) of the AAML0531 AE report and AEs detected by review of Pediatric Health Information System (PHIS) billing and microbiology data were compared with chart data. Results Select AE rates from AAML03P1 and AAML0531 arm B differed significantly and correlated with the targeted toxicities of each trial. Chart abstraction was performed on 204 patients (758 courses) on AAML0531. AE report sensitivity was < 50% for eight AEs, but PPV was > 75% for six AEs. AE reports for viridans group streptococcal bacteremia, a targeted toxicity on AAML0531, had a sensitivity of 78.3% and PPV of 98.1%. PHIS billing data had higher sensitivity (> 50% for nine AEs), but lower PPV (< 75% for 10 AEs). Viridans group streptococcal detection using PHIS microbiology data had high sensitivity (92.3%) and PPV (97.3%). Conclusion The current system of AE reporting for cooperative oncology group clinical trials in pediatric acute myeloid leukemia underestimates AE rates. The high sensitivity and PPV of PHIS microbiology data suggest that using external data sources may improve the accuracy of AE reporting.


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