| Literature DB >> 31410067 |
Yupeng Liu1,2, Xiaosan Zhang3, Hongru Sun2, Shu Zhao4, Yuxue Zhang5, Dapeng Li2, Qingyuan Zhang4, Yashuang Zhao2.
Abstract
IMPORTANCE: Prevention of primary breast cancer (BCa) in women is of great public health importance. The existing results from observational epidemiologic studies focused on the association between bisphosphonates and primary BCa risk have been inconsistent.Entities:
Keywords: bisphosphonates; meta-analysis; primary breast cancer risk
Year: 2019 PMID: 31410067 PMCID: PMC6645691 DOI: 10.2147/CLEP.S194056
Source DB: PubMed Journal: Clin Epidemiol ISSN: 1179-1349 Impact factor: 4.790
Figure 1Flow diagram of study selection.
Abbreviations: BCa, breast cancer; BPs, bisphosphonates; CBCa, contralateral breast cancer.
The pooled association between bisphosphonates and breast cancer risk
| Subgroups | No. of studies | Modelsa | Effect estimate (95% CI) | Heterogeneity between studies | Heterogeneity | |||
|---|---|---|---|---|---|---|---|---|
| Point | Upper CI limit | |||||||
| Total | 10 | R | 0.879 (0.826–0.936) | 35.53 | 0.124 | 0.695 | 1.533 | 1.339 |
| F | 0.892 (0.858–0.927) | 1.490 | 1.370 | |||||
| Case-control study | 3 | R | 0.834 (0.711–0.979) | 61.79 | 0.073 | 0.354 | 1.688 | 1.170 |
| F | 0.903 (0.857–0.951) | 1.452 | 1.284 | |||||
| Cohort study | 5 | R | 0.874 (0.803–0.951) | 33.18 | 0.200 | 0.948 | 1.550 | 1.284 |
| F | 0.871 (0.822–0.924) | 1.148 | 1.381 | |||||
| RCT | 2 | R | 1.127 (0.808–1.573) | 0.00 | 0.918 | 1.000 | 1.505 | 1.000 |
| F | 1.127 (0.808–1.573) | 1.505 | 1.000 | |||||
| Invasive BCa | 6 | R | 0.829 (0.692–0.994) | 59.54 | 0.030 | 0.902 | 1.705 | 1.084 |
| F | 0.840 (0.757–0.932) | 1.667 | 1.353 | |||||
| Postmenopausal | 7 | R | 0.888 (0.798–0.989) | 30.50 | 0.195 | 1.000 | 1.503 | 1.117 |
| F | 0.888 (0.817–0.964) | 1.503 | 1.234 | |||||
| <1 | 5 | R | 0.904 (0.842–0.970) | 0.00 | 0.522 | 1.000 | 1.449 | 1.210 |
| F | 0.904 (0.842–0.970) | 1.449 | 1.210 | |||||
| ≥1 (including 1–2, 2–3, 3–4, and >4) | 19 | R | 0.745 (0.658–0.844) | 74.61 | <0.001 | 0.143 | 2.020 | 1.653 |
| F | 0.823 (0.785–0.864) | 1.726 | 1.584 | |||||
| 1–2 | 5 | R | 0.690 (0.534–0.893) | 87.00 | <0.001 | 0.103 | 2.256 | 1.486 |
| F | 0.859 (0.811–0.909) | 1.601 | 1.432 | |||||
| 2–3 | 4 | R | 0.732 (0.554–0.967) | 72.82 | 0.012 | 0.973 | 2.073 | 1.222 |
| F | 0.728 (0.632–0.838) | 2.090 | 1.674 | |||||
| 3–4 | 6 | R | 0.862 (0.682–1.090) | 59.40 | 0.031 | 0.638 | 1.591 | 1.000 |
| F | 0.807 (0.699–0.932) | 1.784 | 1.353 | |||||
| >4 | 4 | R | 0.678 (0.525–0.875) | 38.45 | 0.181 | 0.899 | 2.312 | 1.547 |
| F | 0.664 (0.546–0.809) | 2.379 | 1.776 | |||||
Notes: aWe used the summarized effect estimates with a random-effects model in the primary meta-analyses, and performed a sensitivity analysis using a fixed-effects model. The homogeneity between the results from a random-effects model and a fixed-effects model was evaluated with the heterogeneity between models. bE-value shows the minimum strength of association that a hypothetical residual confounding factor would need to have with both the use of bisphosphonates and the risk of primary BCa to fully explain an association between bisphosphonates and primary BCa risk. Note that these calculations assumed an optimal frequency for the hypothetical confounder. For an infrequent confounder, the strength of the associations between the confounder and bisphosphonate use and between the confounder and primary BCa risk needs to be much stronger.
Abbreviations: BCa, breast cancer; BPs, bisphosphonates; F, a fixed-effects model; R, a random-effects model.
Figure 2Forest plot for the association between bisphosphonates and primary breast cancer risk. Square markers indicate effect sizes of each study; horizontal lines, the 95% CI. The diamond data marker indicates the summarized effect size. The vertical solid line indicates the overall pooled effect. Note that the studies are ranked in order of their relative weights from random effects analysis.