Department of Human and Social Sciences, Institut de Cancérologie de l'Ouest (ICO), Saint-Herblain, France.
Department of Medical Oncology, Institut de Cancérologie de l'Ouest, Saint-Herblain, France.
PLoS One. 2024 May 31;19(5):e0304556. doi: 10.1371/journal.pone.0304556. eCollection 2024.
Longer times between diagnosis and treatments of cancer patients have been estimated as effects of the COVID-19 pandemic. However, relatively few studies attempted to estimate actual delay to treatment at the patient level.
To assess changes in delays to first treatment and surgery among newly diagnosed patients with localized breast cancer (BC) during the COVID-19 pandemic.
We used data from the PAPESCO-19 multicenter cohort study, which included patients from 4 French comprehensive cancer centers. We measured the delay to first treatment as the number of days between diagnosis and the first treatment regardless of whether this was neoadjuvant chemotherapy or surgery. COVID-19 pandemic exposure was estimated with a composite index that considered both the severity of the pandemic and the level of lockdown restrictions. We ran generalized linear models with a log link function and a gamma distribution to model the association between delay and the pandemic.
Of the 187 patients included in the analysis, the median delay to first treatment was 42 (IQR:32-54) days for patients diagnosed before and after the start of the 1st lockdown (N = 99 and 88, respectively). After adjusting for age and centers of inclusion, a higher composite pandemic index (> = 50 V.S. <50) had only a small, non-significant effect on times to treatment. Longer delays were associated with factors other than the COVID-19 pandemic.
We found evidence of no direct impact of the pandemic on the actual delay to treatment among patients with localized BC.
癌症患者诊断与治疗之间的时间延长被认为是 COVID-19 大流行的影响。然而,很少有研究试图在患者层面估计实际治疗延迟。
评估 COVID-19 大流行期间局部乳腺癌(BC)新诊断患者首次治疗和手术延迟的变化。
我们使用了来自 4 家法国综合癌症中心的 PAPESCO-19 多中心队列研究的数据。我们将首次治疗的延迟定义为从诊断到首次治疗的天数,无论这是新辅助化疗还是手术。使用考虑大流行严重程度和封锁限制水平的综合指数来估计 COVID-19 大流行暴露情况。我们使用具有对数链接函数和伽马分布的广义线性模型来模拟延迟与大流行之间的关联。
在纳入分析的 187 名患者中,首次治疗的中位延迟时间为 42(IQR:32-54)天,分别为第 1 次封锁开始前和开始后诊断的患者(N=99 和 88)。调整年龄和纳入中心后,较高的综合大流行指数(> = 50 VS. <50)对治疗时间只有很小且无统计学意义的影响。更长的延迟与 COVID-19 大流行以外的因素有关。
我们没有发现 COVID-19 大流行对局部 BC 患者实际治疗延迟有直接影响的证据。