Research Article
Machine Learning for Predicting Hyperglycemic Cases Induced by PD-1/PD-L1 Inhibitors
Table 1
Main characteristics of cases in complete data.
| Drugs | TCN (PCN) | PCN (%) | Age (year) | Male (%) | Weight (kg) | Year range |
| Cam | 37 (1) | 2.7 | 55.6 ± 13.2 | 64.9 | 59.5 ± 12.4 | 2017–2021 | Cem | 52 (1) | 1.9 | 73 ± 13 | 82.7 | 76.9 ± 15.8 | 2018–2021 | Avel | 1074 (22) | 2 | 65.1 ± 11.6 | 61.6 | 75.3 ± 20.8 | 2014–2021 | Dur | 1715 (46) | 2.7 | 65.9 ± 10.3 | 67.6 | 69.7 ± 18.1 | 2011–2021 | Atez | 7073 (133) | 1.9 | 64.2 ± 11.6 | 56 | 70.5 ± 18.4 | 2012–2021 | Pem | 9416 (310) | 3.3 | 65.8 ± 11.5 | 63 | 68.6 ± 20.7 | 2000–2021 | Nivo | 15629 (708) | 4.5 | 63.3 ± 12.8 | 64.3 | 73.7 ± 22.1 | 2010–2021 | Ipi | 7907 (378) | 4.8 | 61.7 ± 13 | 63.7 | 77.3 ± 21.4 | 2007–2021 |
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TCN: total case number. PCN: positive case number. Cases reported with wrong year were deleted: dur (1979), pem (1921), nivo (2022). |