Using real-world evidence in haematology

被引:1
作者
Passamonti, Francesco [1 ,2 ]
Corrao, Giovanni [3 ]
Castellani, Gastone [4 ]
Mora, Barbara [5 ]
Maggioni, Giulia [6 ,8 ]
Della Porta, Matteo Giovanni [6 ,8 ]
Gale, Robert Peter [7 ,9 ]
机构
[1] Univ Milan, Milan, Italy
[2] Fdn IRCCS, Cagranda Ospedale Maggiore Policlin, RCCS CaGranda Osped Maggiore Policlin, Milan, Italy
[3] Univ Milano Bicocca, Dept Stat & Quantitat Methods, Lab Healthcare Res & Pharmacoepidemiol, Milan, Italy
[4] Univ Bologna, Dept Phys & Astron, Bologna, Italy
[5] Osped Circolo Varese, Hematol, ASST Sette Laghi, Varese, Italy
[6] IRCCS Humanitas Res Hosp, Ctr Accelerating Leukemia, Lymphoma Res CALR, Milan, Italy
[7] Imperial Coll London, Haematol Res Ctr, Dept Immunolgy & Inflammat, London, England
[8] Humanitas Univ, Dept Biomed Sci, Milan, Italy
[9] Imperial Coll Sci Technol & Med London, Ctr Haematol, Dept Immunol & Inflammat, P 1-908-656-0484 F 1-310-388-1230 E, London SW7 2AZ, England
关键词
Real world evidence; Real world data; Artificial intelligence; Haematological cancers; Leukemia; Lymphoma; RANDOMIZED CONTROLLED-TRIALS; ACUTE MYELOID-LEUKEMIA; RUXOLITINIB; MALIGNANCIES; AZACITIDINE; THERAPY; VENETOCLAX; DATABASE; CANCER;
D O I
10.1016/j.beha.2024.101536
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Most new drug approvals are based on data from large randomized clinical trials (RCTs). However, there are sometimes contradictory conclusions from seemingly similar trials and generalizability of conclusions from these trials is limited. These considerations explain, in part, the gap between conclusions from data of RCTs and those from registries termed real world data (RWD). Recently, real-world evidence (RWE) from RWD processed by artificial intelligence has received increasing attention. We describe the potential of using RWD in haematology concluding RWE from RWD may complement data from RCTs to support regulatory decisions.
引用
收藏
页数:5
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