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. 2022 Oct 14;29(10):7732–7744. doi: 10.3390/curroncol29100611

Table 1.

Characteristics of patients receiving chemotherapy as the first cancer treatment within 6 months of diagnosis, stratified by COVID-19 period (n = 51,653).

Characteristics Cancer Diagnosed in Pre-Pandemic
(N = 45,807, 88.7%)
Cancer Diagnosed in the Pandemic
(N = 5846, 11.3%)
Standardized Difference a
Age at diagnosis (Mean ± SD) 63.80 ± 14.27 63.46 ± 14.24 0.02
Female 24,066 (52.5%) 3234 (55.3%) 0.06
Rural residents 5591 (12.2%) 779 (13.3%) 0.03
Immigrants 6086 (13.3%) 839 (14.4%) 0.03
Material deprivation quintile b
1, least deprived 9990 (21.8%) 1258 (21.5%) 0.01
2 9534 (20.8%) 1275 (21.8%) 0.02
3 8791 (19.2%) 1191 (20.4%) 0.03
4 8698 (19.0%) 1052 (18.0%) 0.03
5, most deprived 8413 (18.4%) 1022 (17.5%) 0.02
Region
Toronto 3678 (8.0%) 454 (7.8%) 0.01
Central 13,514 (29.5%) 1732 (29.6%) 0
East 11,529 (25.2%) 1510 (25.8%) 0.02
North 3075 (6.7%) 434 (7.4%) 0.03
West 14,010 (30.6%) 1716 (29.4%) 0.03
Comorbidity c
0 5384 (11.8%) 671 (11.5%) 0.01
1 3546 (7.7%) 435 (7.4%) 0.01
2 2240 (4.9%) 248 (4.2%) 0.03
3+ 2790 (6.1%) 300 (5.1%) 0.04
No hospitalization 31,847 (69.5%) 4192 (71.7%) 0.05
Cancer type
Breast 6682 (14.6%) 1137 (19.4%) 0.13
Central nervous system 172 (0.4%) 23 (0.4%) 0
Cervical 170 (0.4%) 15 (0.3%) 0.02
Colorectal 3,668 (8.0%) 453 (7.7%) 0.01
Endocrine 80 (0.2%) 11 (0.2%) 0
Esophagus 518 (1.1%) 70 (1.2%) 0.01
Genitourinary 766 (1.7%) 104 (1.8%) 0.01
Gynecologic (excluding cervical) 1760 (3.8%) 225 (3.8%) 0
Head and neck 522 (1.1%) 80 (1.4%) 0.02
Hepato-pancreatic biliary 3460 (7.6%) 490 (8.4%) 0.03
Lung 6222 (13.6%) 761 (13.0%) 0.02
Lymphoma 8293 (18.1%) 899 (15.4%) 0.07
Prostate 1447 (3.2%) 193 (3.3%) 0.01
Sarcoma 923 (2.0%) 101 (1.7%) 0.02
Stomach 1532 (3.3%) 161 (2.8%) 0.03
Other 9592 (20.9%) 1123 (19.2%) 0.04

a We used 0.1 to identify a statistically and clinically significant imbalance in the distribution of characteristics between the two groups of patients. There were missing data for rural living status (0.2%) and material deprivation status (0.8%) that did not differ between the two patient groups (both standardized differences < 0.01). These patients were excluded from the multivariable regression analysis. b We measured material deprivation using the Ontario Marginalization Index that considers the following neighborhood characteristics: population that is without a high school diploma, unemployed, or considered low-income, and households that are single-parent families, receiving government transfer payments, or living in dwellings that need major repair. c The Elixhauser comorbidity index was computed using a 5-year look-back window to capture records of hospitalization in administrative databases.