| Literature DB >> 29180900 |
Shailesh Agarwal1, Lisa Pappas2, Jayant Agarwal3.
Abstract
BACKGROUND: Utilization of bilateral mastectomy for unilateral breast cancer is increasing despite cost and surgical risks with conflicting reports of survival benefit. Current studies evaluating death after bilateral mastectomy have included patients treated both with breast conservation therapy and unilateral mastectomy. In this study, we directly compared breast cancer-specific death of patients who underwent bilateral or unilateral mastectomy for unilateral breast cancer using a matched cohort analysis.Entities:
Keywords: bilateral mastectomy; breast cancer; contralateral prophylactic mastectomy; logistic regression; matched cohorts; survival
Year: 2017 PMID: 29180900 PMCID: PMC5695260 DOI: 10.2147/CMAR.S148456
Source DB: PubMed Journal: Cancer Manag Res ISSN: 1179-1322 Impact factor: 3.989
Pre-match patient characteristics
| Characteristics | N | Bilateral % (n) | Unilateral % (n) | Test statistic |
|---|---|---|---|---|
| N = 2,815 | N = 38,695 | |||
| 41,510 | ||||
| 1998 | 7 (204) | 12 (4,808) | ||
| 1999 | 9 (261) | 12 (4,686) | ||
| 2000 | 22 (630) | 25 (9,753) | ||
| 2001 | 30 (834) | 26 (9,975) | ||
| 2002 | 31 (886) | 24 (9,473) | ||
| 41,510 | ||||
| I | 43 (1197) | 35 (13,386) | ||
| IIA | 27 (752) | 26 (10,119) | ||
| IIB | 12 (330) | 14 (5,566) | ||
| IIIA | 10 (293) | 12 (4,782) | ||
| IIIB | 2 (67) | 3 (1,273) | ||
| IIIC | 5 (132) | 6 (2,400) | ||
| IIINOS | 0 (9) | 1 (206) | ||
| IV | 1 (35) | 2 (959) | ||
| 41,510 | 51 (43,59) | 49 (59,72) | ||
| White | 41,510 | 90 (2,532) | 80 (31,079) | |
| Black | 5 (146) | 10 (3,896) | ||
| Other | 5 (131) | 9 (3,626) | ||
| Unknown | 0 (6) | 0 (94) | ||
| 0 nodes | 41,510 | 56 (1,566) | 50 (19,367) | |
| 1–3 nodes | 27 (771) | 27 (10,389) | ||
| >3 nodes | 17 (478) | 23 (8,939) | ||
| 40,607 | 10 (17,28) | 13 (20,32) | ||
| 41,510 | ||||
| 0–20 mm | 53 (1,499) | 43 (16,528) | ||
| 21–40 mm | 32 (894) | 36 (14,083) | ||
| 41+ mm | 13 (358) | 19 (7,245) | ||
| Unknown | 2 (64) | 2 (839) | ||
| 41,510 | ||||
| I | 13 (375) | 12 (4,522) | ||
| II | 37 (1,037) | 38 (14,755) | ||
| III | 43 (1,211) | 44 (17,158) | ||
| IV | 3 (83) | 2 (850) | ||
| Unknown | 4 (109) | 4 (1,410) | ||
| 41,510 | 39 (1,104) | 13 (5,052) | ||
| ER: positive | 41,510 | 61 (1,722) | 61 (23,515) | |
| ER: negative | 25 (696) | 24 (9,096) | ||
| ER: borderline | 0 (6) | 0 (89) | ||
| ER: unknown | 14 (391) | 15 (5,995) | ||
| PR: positive | 53 (1,482) | 50 (19,429) | ||
| PR: negative | 32 (907) | 32 (12,404) | ||
| PR: borderline | 0 (11) | 1 (217) | ||
| PR: unknown | 15 (415) | 17 (6,645) |
Abbreviations: ER, estrogen receptor; PR, progesterone receptor.
Post-match patient characteristics
| N | Bilateral % (n) | Unilateral % (n) | Test statistic | |
|---|---|---|---|---|
| N = 2,815 | N = 11,260 | |||
| 14,075 | ||||
| 1998 | 7 (204) | 7 (816) | ||
| 1999 | 9 (261) | 9 (1,044) | ||
| 2000 | 22 (630) | 22 (2,520) | ||
| 2001 | 30 (834) | 30 (3,336) | ||
| 2002 | 31 (886) | 31 (3,544) | ||
| 14,075 | ||||
| I | 43 (1,197) | 43 (4,788) | ||
| IIA | 27 (752) | 27 (3,008) | ||
| IIB | 12 (330) | 12 (1,320) | ||
| III | 18 (501) | 18 (2,004) | ||
| IV | 1 (35) | 1 (140) | ||
| 14,075 | 43 (51,59) | 43 (51,59) | ||
| 14,075 | ||||
| White | 90 (2,532) | 81 (9,112) | ||
| Black | 5 (146) | 12 (1,295) | ||
| Other | 5 (131) | 7 (827) | ||
| Unknown | 0 (6) | 0 (26) | ||
| 14,075 | ||||
| 0 nodes | 56 (1,566) | 57 (6,445) | ||
| 1–3 nodes | 27 (771) | 25 (2,772) | ||
| >3 nodes | 17 (478) | 18 (2,043) | ||
| 13,788 | 10 (17,28) | 12 (19,30) | ||
| 9,446 | ||||
| 0–20 mm | 78 (1,499) | 75 (5,675) | ||
| 21–40 mm | 0 (0) | 0 (0) | ||
| 41+ mm | 19 (358) | 22 (1,627) | ||
| Unknown | 3 (64) | 3 (223) | ||
| 14,075 | ||||
| I | 13 (375) | 11 (1,238) | ||
| II | 37 (1,037) | 37 (4,122) | ||
| III | 43 (1,211) | 47 (5,256) | ||
| IV | 3 (83) | 2 (209) | ||
| Unknown | 4 (109) | 4 (435) | ||
| 14,075 | 39 (1,104) | 21 (2,318) | ||
| 14,075 | ||||
| ER: positive | 61 (1,722) | 60 (6,734) | ||
| ER: negative | 25 (696) | 26 (2,909) | ||
| ER: borderline | 0 (6) | 0 (27) | ||
| ER: unknown | 14 (391) | 14 (1,590) | ||
| PR: positive | 53 (1,482) | 51 (5,724) | ||
| PR: negative | 32 (907) | 34 (3,789) | ||
| PR: borderline | 0 (11) | 1 (62) | ||
| PR: unknown | 15 (415) | 15 (1,685) |
Abbreviations: ER, estrogen receptor; PR, progesterone receptor.
Figure 1Kaplan–Meier survival curves comparing breast cancer–specific survival of patients who underwent unilateral mastectomy or bilateral mastectomy for unilateral breast cancer.
Cox proportional hazards model with adjustment for matching and additional covariates
| Variables | Category | Hazard ratio and 95% confidence limits | |
|---|---|---|---|
| Mastectomy | Bilateral vs unilateral | 0.92 (0.83, 1.02) | 0.109 |
| Race | Black vs white | 1.5 (1.35, 1.67) | <0.0001 |
| Other vs white | 0.97 (0.83, 1.15) | 0.7512 | |
| Unknown vs white | 0.2 (0.03, 1.37) | 0.101 | |
| Radiation | Radiation vs no radiation | 0.93 (0.85, 1.02) | 0.1134 |
| Reconstruction | Reconstruction vs no reconstruction | 0.87 (0.79, 0.96) | 0.0074 |
| Receptor status (ER) | Borderline vs negative | 0.47 (0.17, 1.28) | 0.1398 |
| Positive vs negative | 0.76 (0.67, 0.85) | <0.0001 | |
| Unknown vs negative | 0.88 (0.6, 1.3) | 0.5221 | |
| Receptor status (PR) | Borderline vs negative | 1.18 (0.69, 2.02) | 0.5399 |
| Positive vs negative | 0.71 (0.64, 0.8) | <0.0001 | |
| Unknown vs negative | 0.82 (0.56, 1.19) | 0.2898 |
Abbreviations: ER, estrogen receptor; PR, progesterone receptor.