Center for Health Decision Science, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA.
Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA.
Lancet Oncol. 2021 Sep;22(9):1301-1311. doi: 10.1016/S1470-2045(21)00403-4. Epub 2021 Aug 17.
Female breast cancer is the most commonly diagnosed cancer in the world, with wide variations in reported survival by country. Women in low-income and middle-income countries (LMICs) in particular face several barriers to breast cancer services, including diagnostics and treatment. We aimed to estimate the potential impact of scaling up the availability of treatment and imaging modalities on breast cancer survival globally, together with improvements in quality of care.
For this simulation-based analysis, we used a microsimulation model of global cancer survival, which accounts for the availability and stage-specific survival impact of specific treatment modalities (chemotherapy, radiotherapy, surgery, and targeted therapy), imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single-photon emission computed tomography [SPECT]), and quality of cancer care, to simulate 5-year net survival for women with newly diagnosed breast cancer in 200 countries and territories in 2018. We calibrated the model to empirical data on 5-year net breast cancer survival in 2010-14 from CONCORD-3. We evaluated the potential impact of scaling up specific imaging and treatment modalities and quality of care to the mean level of high-income countries, individually and in combination. We ran 1000 simulations for each policy intervention and report the means and 95% uncertainty intervals (UIs) for all model outcomes.
We estimate that global 5-year net survival for women diagnosed with breast cancer in 2018 was 67·9% (95% UI 62·9-73·4) overall, with an almost 25-times difference between low-income (3·5% [0·4-10·0]) and high-income (87·0% [85·6-88·4]) countries. Among individual treatment modalities, scaling up access to surgery alone was estimated to yield the largest survival gains globally (2·7% [95% UI 0·4-8·3]), and scaling up CT alone would have the largest global impact among imaging modalities (0·5% [0·0-2·0]). Scaling up a package of traditional modalities (surgery, chemotherapy, radiotherapy, ultrasound, and x-ray) could improve global 5-year net survival to 75·6% (95% UI 70·6-79·4), with survival in low-income countries improving from 3·5% (0·4-10·0) to 28·6% (4·9-60·1). Adding concurrent improvements in quality of care could further improve global 5-year net survival to 78·2% (95% UI 74·9-80·4), with a substantial impact in low-income countries, improving net survival to 55·3% (42·2-67·8). Comprehensive scale-up of access to all modalities and improvements in quality of care could improve global 5-year net survival to 82·3% (95% UI 79·3-85·0).
Comprehensive scale-up of treatment and imaging modalities, and improvements in quality of care could improve global 5-year net breast cancer survival by nearly 15 percentage points. Scale-up of traditional modalities and quality-of-care improvements could achieve 70% of these total potential gains, with substantial impact in LMICs, providing a more feasible pathway to improving breast cancer survival in these settings even without the benefits of future investments in targeted therapy and advanced imaging.
Harvard T H Chan School of Public Health, and National Cancer Institute P30 Cancer Center Support Grant to Memorial Sloan Kettering Cancer Center.
女性乳腺癌是全球最常见的癌症,各国报告的生存率存在广泛差异。特别是在低收入和中等收入国家(LMICs),女性在获得乳腺癌服务方面面临着多种障碍,包括诊断和治疗。我们旨在估计在全球范围内扩大治疗和成像方式的可用性以及提高护理质量对乳腺癌生存率的潜在影响。
对于这种基于模拟的分析,我们使用了一种全球癌症生存的微观模拟模型,该模型考虑了特定治疗方式(化疗、放疗、手术和靶向治疗)、成像方式(超声、X 射线、CT、MRI、PET 和单光子发射计算机断层扫描[SPECT])以及癌症护理质量的可用性和特定阶段对生存率的影响,以模拟 2018 年全球 200 个国家和地区新诊断为乳腺癌的女性 5 年净生存率。我们根据 CONCORD-3 中 2010-14 年的 5 年净乳腺癌生存率的经验数据对模型进行了校准。我们评估了将特定成像和治疗方式以及护理质量提高到高收入国家平均水平的潜在影响,分别和联合评估。我们对每种政策干预措施进行了 1000 次模拟,并报告了所有模型结果的平均值和 95%置信区间(UI)。
我们估计,2018 年全球新诊断为乳腺癌的女性 5 年净生存率总体为 67.9%(95%UI 62.9-73.4),而低收入(3.5%[0.4-10.0])和高收入(87.0%[85.6-88.4])国家之间的差距几乎相差 25 倍。在单独的治疗方式中,仅扩大手术的获取量预计将在全球范围内带来最大的生存获益(2.7%[95%UI 0.4-8.3]),而仅扩大 CT 扫描的使用量将在成像方式中产生最大的全球影响(0.5%[0.0-2.0])。扩大传统治疗方式(手术、化疗、放疗、超声和 X 射线)的综合方案可将全球 5 年净生存率提高至 75.6%(95%UI 70.6-79.4%),使低收入国家的生存率从 3.5%(0.4-10.0)提高至 28.6%(4.9-60.1)。同时提高护理质量也可进一步将全球 5 年净生存率提高至 78.2%(95%UI 74.9-80.4%),在低收入国家的影响较大,将净生存率提高至 55.3%(42.2-67.8%)。全面扩大所有治疗方式的获取和提高护理质量可以将全球 5 年净乳腺癌生存率提高近 15 个百分点。扩大传统治疗方式和提高护理质量可以实现这些潜在获益的 70%,在 LMICs 中产生重大影响,为改善这些环境中的乳腺癌生存率提供了更可行的途径,即使没有未来在靶向治疗和先进成像方面的投资带来的好处。
综合扩大治疗和成像方式的使用,以及提高护理质量,可以使全球乳腺癌 5 年净生存率提高近 15 个百分点。扩大传统治疗方式和提高护理质量可以实现这些潜在获益的 70%,在低收入国家产生重大影响,为改善这些地区的乳腺癌生存率提供了更可行的途径,即使没有未来在靶向治疗和先进成像方面的投资带来的好处。
哈佛 T H Chan 公共卫生学院和国家癌症研究所 P30 癌症中心支持纪念斯隆凯特琳癌症中心。