Impact of the COVID-19 pandemic on breast cancer screening indicators in a Spanish population-based program: a cohort study
Abstract
Background: To assess the effect of the COVID-19 pandemic on performance indicators in the population-based breast cancer screening program of Parc de Salut Mar (PSMAR), Barcelona, Spain.
Methods: We conducted a before-and-after, study to evaluate participation, recall, false-positives, the cancer detection rate, and cancer characteristics in our screening population from March 2020 to March 2021 compared with the four previous rounds (2012-2019). Using multi-level logistic regression models, we estimated the adjusted odds ratios (aOR) of each of the performance indicators for the COVID-19 period, controlling by type of screening (prevalent or incident), socioeconomic index, family history of breast cancer, and menopausal status. We analyzed 144,779 invitations from 47,571 women.
Results: During the COVID-19 period, the odds of participation were lower in first-time invitees (aOR=0.90[95%CI=0.84-0.96]) and in those who had previously participated regularly and irregularly (aOR=0.63 [95%CI=0.59-0.67] and aOR=0.95 [95%CI=0.86-1.05], respectively). Participation showed a modest increase in women not attending any of the previous rounds (aOR=1.10 [95%CI=1.01-1.20]). The recall rate decreased in both prevalent and incident screening (aOR=0.74 [95%CI 0.56-0.99] and aOR=0.80 [95%CI 0.68-0.95], respectively). False positives also decreased in both groups (prevalent aOR=0.92 [95%CI 0.66-1.28] and incident aOR=0.72 [95%CI 0.59-0.88]. No significant differences were observed in compliance with recall (OR= 1.26, 95%CI 0.76-2.23), cancer detection rate (aOR=0.91 [95%CI=0.69-1.18]) or cancer stages.
Conclusions: The COVID-19 pandemic negatively affected screening attendance, especially in previous participants and newcomers. We found a reduction in recall and false-positives and no marked differences in cancer detection, indicating the robustness of the program. There is a need for further evaluations of interval cancers and potential diagnostic delays.
Funding: This study has received funding by grantsPI19/00007 and PI21/00058, funded by Instituto de Salud Carlos III (ISCIII) and co-funded by the European Union and Grant RD21/0016/0020 funded by Instituto de Salud Carlos III and by the European Union NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia (MRR).
Data availability
Source data form all tables and figures can be found in the following Dataset:BOSCH, GUILLERMO, 2022, "Breast cancer screening program invitations (2012-2021)", https://doi.org/10.7910/DVN/VVQNWM, Harvard Dataverse, V1, UNF:6:CaW3sEp4tMsg13z2I1eZbQ== [fileUNF]Data from "Impact on covid19 dataset invited women.sav" was used in tables 1 and 2 and figures 1,2 and 3. Data from "cancer characteristics database.tab" was used in table 3.
Article and author information
Author details
Funding
Instituto de Salud Carlos III (PI19/00007)
- Margarita Posso
Instituto de Salud Carlos III (PI21/00058)
- Guillermo Bosch
Instituto de Salud Carlos III (PI21/00058)
- Javier Louro
Instituto de Salud Carlos III (PI21/00058)
- Marta Roman
Instituto de Salud Carlos III (PI21/00058)
- Francesc Macià
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: Due to the retrospective nature of the study and the absence of direct contact with women, which did not affect their relationship with the program, informed consent was waived by the Ethics Committee of PSMAR, which approved the study (reg.2021/9866). The study guaranteed Spain's legal regulations on data confidentiality (law 15/99 of December 13 on the protection of personal data).
Copyright
© 2022, Bosch et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 2,267
- views
-
- 224
- downloads
-
- 13
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Epidemiology and Global Health
- Medicine
- Microbiology and Infectious Disease
eLife has published the following articles on SARS-CoV-2 and COVID-19.
-
- Epidemiology and Global Health
- Genetics and Genomics
Alzheimer’s disease (AD) is a complex degenerative disease of the central nervous system, and elucidating its pathogenesis remains challenging. In this study, we used the inverse-variance weighted (IVW) model as the major analysis method to perform hypothesis-free Mendelian randomization (MR) analysis on the data from MRC IEU OpenGWAS (18,097 exposure traits and 16 AD outcome traits), and conducted sensitivity analysis with six models, to assess the robustness of the IVW results, to identify various classes of risk or protective factors for AD, early-onset AD, and late-onset AD. We generated 400,274 data entries in total, among which the major analysis method of the IVW model consists of 73,129 records with 4840 exposure traits, which fall into 10 categories: Disease, Medical laboratory science, Imaging, Anthropometric, Treatment, Molecular trait, Gut microbiota, Past history, Family history, and Lifestyle trait. More importantly, a freely accessed online platform called MRAD (https://gwasmrad.com/mrad/) has been developed using the Shiny package with MR analysis results. Additionally, novel potential AD therapeutic targets (CD33, TBCA, VPS29, GNAI3, PSME1) are identified, among which CD33 was positively associated with the main outcome traits of AD, as well as with both EOAD and LOAD. TBCA and VPS29 were negatively associated with the main outcome traits of AD, as well as with both EOAD and LOAD. GNAI3 and PSME1 were negatively associated with the main outcome traits of AD, as well as with LOAD, but had no significant causal association with EOAD. The findings of our research advance our understanding of the etiology of AD.