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Chemotherapy Effectiveness in Trial-underrepresented Groups with Early Breast Cancer: A Retrospective Cohort Study

Overview
Journal PLoS Med
Specialty General Medicine
Date 2020 Jan 1
PMID 31891574
Citations 8
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Abstract

Background: Adjuvant chemotherapy in early stage breast cancer has been shown to reduce mortality in a large meta-analysis of over 100 randomised trials. However, these trials largely excluded patients aged 70 years and over or with higher levels of comorbidity. There is therefore uncertainty about whether the effectiveness of adjuvant chemotherapy generalises to these groups, hindering patient and clinician decision-making. This study utilises administrative healthcare data-real world data (RWD)-and econometric methods for causal analysis to estimate treatment effectiveness in these trial-underrepresented groups.

Methods And Findings: Women with early breast cancer aged 70 years and over and those under 70 years with a high level of comorbidity were identified and their records extracted from Scottish Cancer Registry (2001-2015) data linked to other routine health records. A high level of comorbidity was defined as scoring 1 or more on the Charlson comorbidity index, being in the top decile of inpatient stays, and/or having 5 or more visits to specific outpatient clinics, all within the 5 years preceding breast cancer diagnosis. Propensity score matching (PSM) and instrumental variable (IV) analysis, previously identified as feasible and valid in this setting, were used in conjunction with Cox regression to estimate hazard ratios for death from breast cancer and death from all causes. The analysis adjusts for age, clinical prognostic factors, and socioeconomic deprivation; the IV method may also adjust for unmeasured confounding factors. Cohorts of 9,653 and 7,965 were identified for women aged 70 years and over and those with high comorbidity, respectively. In the ≥70/high comorbidity cohorts, median follow-up was 5.17/6.53 years and there were 1,935/740 deaths from breast cancer. For women aged 70 years and over, the PSM-estimated HR was 0.73 (95% CI 0.64-0.95), while for women with high comorbidity it was 0.67 (95% CI 0.51-0.86). This translates to a mean predicted benefit in terms of overall survival at 10 years of approximately3% (percentage points) and 4%, respectively. A limitation of this analysis is that use of observational data means uncertainty remains both from sampling uncertainty and from potential bias from residual confounding.

Conclusions: The results of this study, as RWD, should be interpreted with caution and in the context of existing and emerging randomised data. The relative effectiveness of adjuvant chemotherapy in reducing mortality in patients with early stage breast cancer appears to be generalisable to the selected trial-underrepresented groups.

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References
1.
Rothwell P . External validity of randomised controlled trials: "to whom do the results of this trial apply?". Lancet. 2005; 365(9453):82-93. DOI: 10.1016/S0140-6736(04)17670-8. View

2.
Peto R, Davies C, Godwin J, Gray R, Pan H, Clarke M . Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials. Lancet. 2011; 379(9814):432-44. PMC: 3273723. DOI: 10.1016/S0140-6736(11)61625-5. View

3.
Gray E, Marti J, Brewster D, Wyatt J, Hall P . Independent validation of the PREDICT breast cancer prognosis prediction tool in 45,789 patients using Scottish Cancer Registry data. Br J Cancer. 2018; 119(7):808-814. PMC: 6189179. DOI: 10.1038/s41416-018-0256-x. View

4.
Agniel D, Kohane I, Weber G . Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ. 2018; 361:k1479. PMC: 5925441. DOI: 10.1136/bmj.k1479. View

5.
Ravdin P, Siminoff L, Davis G, Mercer M, Hewlett J, Gerson N . Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol. 2001; 19(4):980-91. DOI: 10.1200/JCO.2001.19.4.980. View