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. 2022 Mar 25;114(7):1029–1035. doi: 10.1093/jnci/djac062

Table 2.

Patterns of drug switching among older women who initiated hormonal therapy with aromatase inhibitors

Drug-switching measures Non-LISa
LISa
Pregeneric entry period (n = 4978) No. (%) Postgeneric entry period (n = 10 951) No. (%) Difference, percentage point P b Pregeneric entry period (n = 1582) No. (%) Postgeneric entry period (n = 3166) No. (%) Difference, percentage point P b
Any switches 888 (17.8) 2184 (19.9) 2.1 .002 198 (12.5) 542 (17.1) 4.6 <.001
Any switches within 1 y 630 (12.7) 1637 (14.9) 2.3 .007 144 (9.1) 399 (12.6) 3.5 <.001
Any switches from TAX to AIa 58 (1.2) 151 (1.4) 0.2 .53 18 (1.1) 47 (1.5) 0.3 .33
Any switches from AI to TAX 526 (10.6) 851 (7.8) −2.8 <.001 93 (5.9) 196 (6.2) 0.3 .67
Any switches from AI to another AI 437 (8.8) 1596 (14.6) 5.8 <.001 116 (7.3) 396 (12.5) 5.2 <.001
Any switches from AI to another AI or from TAX to AIc 488 (9.8) 1698 (15.5) 5.7 <.001 132 (8.3) 432 (13.6) 5.3 <.001

Given that all women started with AIs, women who had switches from tamoxifen to AIs must first have switches from an AI to tamoxifen. AI = aromatase inhibitor; LIS = women who received low-income subsidy for all follow-up months; non-LIS = women who did not receive Medicare Part D low-income subsidy for all follow-up months; TAX = tamoxifen.

Two-sided z test.

One woman could have both types of switches (from AI to another AI and from TAX to AI), and thus percentages do not add up.