| Literature DB >> 31673103 |
Monica Tang1, Andrea Schaffer2, Belinda E Kiely3, Benjamin Daniels2, Robert J Simes3, Chee K Lee3, Sallie-Anne Pearson2.
Abstract
BACKGROUND: Randomised clinical trials (RCTs) demonstrate that trastuzumab improves survival in patients with human epidermal growth factor 2-positive early breast cancer (HER2 + EBC), but real-world patients and clinical practice often differ from RCTs. We examine real-world treatment patterns and outcomes associated with trastuzumab for HER2 + EBC.Entities:
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Year: 2019 PMID: 31673103 PMCID: PMC6889396 DOI: 10.1038/s41416-019-0612-5
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Baseline characteristics of study population of all patients dispensed trastuzumab from 2007 to 2016 (n = 14,644)
| Frequency | (%) | |
|---|---|---|
| Age at the first trastuzumab dispensing | ||
| ≤30 years | 179 | 1.2 |
| 31–40 years | 1354 | 9.3 |
| 41–50 years | 3661 | 25 |
| 51–60 years | 4558 | 31.1 |
| 61–70 years | 3333 | 22.8 |
| 71–80 years | 1349 | 9.2 |
| >80 years | 210 | 1.4 |
| Sex | ||
| Female | 14,590 | 99.6 |
| Male | 54 | 0.4 |
| Year of the first trastuzumab dispensing | ||
| 2007–2008 | 2353 | 16.1 |
| 2009–2010 | 2823 | 19.3 |
| 2011–2012 | 3068 | 21 |
| 2013–2014 | 3659 | 25 |
| 2015–2016 | 2741 | 18.7 |
| Remoteness | ||
| Capital cities | 9177 | 62.7 |
| Other metropolitan centres | 1155 | 7.9 |
| Large rural centres | 965 | 6.6 |
| Other rural | 2984 | 20.4 |
| Remote | 238 | 1.6 |
| Missing | 125 | 0.9 |
| State | ||
| New South Wales | 4892 | 33.4 |
| Australian Capital Territory | 210 | 1.4 |
| Northern Territory | 122 | 0.8 |
| Queensland | 2890 | 19.7 |
| South Australia | 1098 | 7.5 |
| Tasmania | 304 | 2.1 |
| Victoria | 3864 | 26.4 |
| Western Australia | 1264 | 8.6 |
| Index of Relative Socioeconomic Disadvantage | ||
| 1 (most disadvantage) | 1862 | 12.7 |
| 2 | 3201 | 21.9 |
| 3 | 2873 | 19.6 |
| 4 | 3413 | 23.3 |
| 5 (least disadvantage) | 3234 | 22.1 |
| Missing | 61 | 0.4 |
Baseline factors associated with completion of treatment (logistic regression) in patients with at least 540 days of follow-up from the first trastuzumab dispensing (i.e. initiated trastuzumab 2007–2014, n = 11903)
| Completed the course | Did not complete the course | Univariate analysis | Multivariable analysis | |||
|---|---|---|---|---|---|---|
| Odds ratio | 95% CI | Odds ratio | 95% CI | |||
| Age category | ||||||
| ≤30 years | 102 | 46 | 1 | Reference | 1 | |
| 31–40 years | 757 | 355 | 0.96 | 0.66–1.39 | 0.96 | 0.66–1.40 |
| 41–50 years | 2068 | 942 | 0.99 | 0.69–1.41 | 1.02 | 0.71–1.46 |
| 51–60 years | 2552 | 1206 | 0.95 | 0.67–1.36 | 0.99 | 0.69–1.42 |
| 61–70 years | 1819 | 891 | 0.92 | 0.64–1.32 | 0.95 | 0.66–1.37 |
| 71–80 years | 646 | 372 | 0.78 | 0.54–1.14 | 0.77 | 0.53–1.12 |
| 80+ years | 74 | 73 | 0.46 | 0.28–0.74 | 0.42 | 0.26–0.68 |
| State | ||||||
| New South Wales | 2764 | 1185 | 1 | 1 | ||
| Australian Capital Territory | 98 | 66 | 0.64 | 0.46–0.87 | 0.53 | 0.38–0.74 |
| Northern Territory | 64 | 41 | 0.67 | 0.45–1.00 | 0.82 | 0.54–1.25 |
| Queensland | 1531 | 826 | 0.8 | 0.71–0.89 | 0.85 | 0.76–0.96 |
| South Australia | 504 | 396 | 0.55 | 0.47–0.63 | 0.54 | 0.47–0.63 |
| Tasmania | 152 | 89 | 0.73 | 0.56–0.96 | 0.75 | 0.57–0.99 |
| Victoria | 2231 | 936 | 1.02 | 0.92–1.13 | 1.02 | 0.91–1.13 |
| Western Australia | 674 | 346 | 0.84 | 0.72–0.97 | 0.81 | 0.69–0.94 |
| Index of relative socioeconomic disadvantage | ||||||
| 1 (most disadvantage) | 946 | 529 | 1 | 1 | ||
| 2 | 1711 | 905 | 1.06 | 0.93–1.21 | 1.05 | 0.92–1.21 |
| 3 | 1549 | 797 | 1.09 | 0.95–1.25 | 1.03 | 0.89–1.19 |
| 4 | 1921 | 879 | 1.22 | 1.07–1.40 | 1.13 | 0.98–1.29 |
| 5 (least disadvantage) | 1869 | 761 | 1.37 | 1.20–1.57 | 1.23 | 1.06–1.42 |
| Missing | 22 | 14 | 0.88 | 0.45–1.73 | 0.74 | 0.36–1.51 |
| Remoteness | ||||||
| Capital cities | 5204 | 2283 | 1 | 1 | ||
| Other metropolitan centres | 631 | 261 | 1.06 | 0.91–1.24 | 1.04 | 0.88–1.22 |
| Large rural centres | 461 | 338 | 0.6 | 0.52–0.69 | 0.61 | 0.52–0.72 |
| Other rural | 1554 | 876 | 0.78 | 0.71–0.86 | 0.83 | 0.75–0.92 |
| Remote | 98 | 97 | 0.44 | 0.33–0.59 | 0.47 | 0.35–0.64 |
| Missing | 70 | 30 | 1.02 | 0.67–1.57 | 1.1 | 0.70–1.74 |
| Year of the first trastuzumab dispensing | ||||||
| 2007–2008 | 1427 | 926 | 1 | 1 | ||
| 2009–2010 | 1872 | 951 | 1.28 | 1.14–1.43 | 1.28 | 1.14–1.44 |
| 2011–2012 | 2147 | 921 | 1.51 | 1.35–1.69 | 1.55 | 1.38–1.74 |
| 2013–2014 | 2572 | 1087 | 1.54 | 1.38–1.71 | 1.62 | 1.45–1.81 |
Chemotherapy regimens based on dispensings between 120 days before and 60 days after trastuzumab initiation (n = 14,644)
| Frequency | (%) | |
|---|---|---|
| No chemotherapy drugs dispensed | 565 | 4.9 |
| At least one chemotherapy drug dispensed | 14,079 | 96.1 |
| Anthracycline- and taxane-based | 6809 | 46.5 |
| AC-TH | 3287 | 22.4 |
| FEC-DH | 1561 | 13.7 |
| Other | 1961 | 13.4 |
| Taxane-based (no anthracycline) | 6664 | 45.5 |
| TCH | 3293 | 22.5 |
| Paclitaxel–trastuzumab | 1517 | 10.4 |
| Docetaxel–trastuzumab | 586 | 4 |
| Other | ||
| Anthracycline-based (no taxane) | 426 | 2.9 |
| No anthracycline or taxane | 180 | 1.2 |
| CMF-H | 25 | 0.2 |
| Other | 155 | 1.1 |
AC-TH doxorubicin, cyclophosphamide, taxane and trastuzumab, FEC-DH 5-fluorouracil, epirubicin, cyclophosphamide, docetaxel and trastuzumab, TCH docetaxel, carboplatin and trastuzumab, CMF-H cyclophosphamide, methotrexate, 5-fluorouracil and trastuzumab
Fig. 1Annual overall and recurrence-free survival probabilities (n = 14644) of patients still in follow-up
Baseline characteristics associated with overall survival (n = 14644)
| Univariate analysis | Multivariable analysis | |||
|---|---|---|---|---|
| Hazard ratio | 95% CI | Hazard ratio | 95% CI | |
| Age category | ||||
| ≤30 years | 1 | 1 | ||
| 31–40 years | 0.81 | 0.45–1.46 | 0.81 | 0.45–1.46 |
| 41–50 years | 0.69 | 0.39–1.21 | 0.68 | 0.39–1.19 |
| 51–60 years | 0.79 | 0.45–1.37 | 0.76 | 0.44–1.33 |
| 61–70 years | 1.16 | 0.67–2.03 | 0.13 | 0.65–1.98 |
| 71–80 years | 2.05 | 1.17–3.61 | 2.07 | 1.17–3.63 |
| 80+ years | 6.11 | 3.35–11.14 | 6.45 | 3.53–11.78 |
| Remoteness | ||||
| Capital cities | 1 | |||
| Other metropolitan centres | 1.04 | 0.82–1.32 | ||
| Large rural centres | 1.11 | 0.87–1.41 | ||
| Other rural | 1.15 | 0.99–1.33 | ||
| Remote | 0.92 | 0.54–1.57 | ||
| Missing | 1.32 | 0.73–2.40 | ||
| State | ||||
| New South Wales | 1 | |||
| Australian Capital Territory | 1.23 | 0.76–2.01 | ||
| Northern Territory | 0.63 | 0.28–1.42 | ||
| Queensland | 0.9 | 0.76–1.07 | ||
| South Australia | 1.08 | 0.86–1.36 | ||
| Tasmania | 0.96 | 0.60–1.55 | ||
| Victoria | 0.97 | 0.83–1.14 | ||
| Western Australia | 0.76 | 0.58–0.98 | ||
| Index of relative socioeconomic disadvantage | ||||
| 1 (most disadvantage) | 1 | 1 | ||
| 2 | 0.97 | 0.08–1.19 | 0.95 | 0.78–1.15 |
| 3 | 0.78 | 0.63–0.97 | 0.76 | 0.62–0.94 |
| 4 | 0.8 | 0.66–0.98 | 0.78 | 0.64–0.96 |
| 5 (least disadvantage) | 0.63 | 0.51–0.78 | 0.6 | 0.48–0.74 |
| Missing | 1.56 | 0.64–3.80 | 1.75 | 0.72–4.27 |
| Year of the first dispensing | ||||
| 2007–2008 | 1 | 1 | ||
| 2009–2010 | 1.04 | 0.88–1.23 | 0.99 | 0.84–1.16 |
| 2011–2012 | 0.86 | 0.71–1.03 | 0.79 | 0.66–0.95 |
| 2013–2014 | 0.91 | 0.74–1.12 | 0.78 | 0.63–0.95 |
| 2015–2016 | 0.91 | 0.64–1.29 | 0.74 | 0.52–1.05 |
Fig. 2Number of recurrences by year of follow-up for patients with at least 5 years of follow-up (n = 5926)