ArticleThe oncologist2020
Personalized Risk-Benefit Ratio Adaptation of Breast Cancer Care at the Epicenter of COVID-19 Outbreak.
Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Rural-urban disparities in cardiovascular and other competing risk of death among cancer patients.Journal of advanced research · 2026Article
- Article
- Psychological Distress in Breast Cancer Patients during the Italian COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Facing the Impact of the COVID-19 Pandemic: How Can We Allocate Outpatient Doctor Resources More Effectively?Tropical medicine and infectious disease · 2022Article
- Impact of COVID-19 in Cervical and Breast Cancer Screening and Systemic Treatment in São Paulo, Brazil: An Interrupted Time Series Analysis.JCO global oncology · 2022Article
- Outcomes of Breast Cancer Patients Treated with Chemotherapy, Biologic Therapy, Endocrine Therapy, or Active Surveillance During the COVID-19 Pandemic.The oncologist · 2022Article
- The Role of Telemedicine in Surgical Specialties During the COVID-19 Pandemic: A Scoping Review.World journal of surgery · 2022Article
- Management of Breast Cancer Patients During the Coronavirus Disease 2019 Pandemic: The Experience From the Epicenter of China, Wuhan.Clinical breast cancer · 2022Article
- Radiotherapy during the COVID-19: a review about management and treatment strategies.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2022Article
- The Impact of the SARS-CoV-2 Pandemic on Healthcare Provision in Italy to non-COVID Patients: a Systematic Review.Mediterranean journal of hematology and infectious diseases · 2022Review
- The Impact of the COVID-19 Pandemic on Cancer Care and Health-Related Quality of Life of Non-Hispanic Black/African American, Hispanic/Latina and Non-Hispanic White Women Diagnosed with Breast Cancer in the U.S.: A Mixed-Methods Study Protocol.International journal of environmental research and public health · 2021Article
- Medical care disruptions during the first six months of the COVID-19 pandemic: the experience of older breast cancer survivors.Breast cancer research and treatment · 2021Article
- Impact of COVID-19 pandemic on outpatient appointments of rheumatic patients in a non-outbreak area of China.Wiener klinische Wochenschrift · 2021Article
- Medical Care Disruptions During the First Six-Months of the COVID19 Pandemic: The Experience of Older Breast Cancer Survivors.Research square · 2021Article
- Breast Cancer Management During COVID-19 Pandemic in Madrid: Surgical Strategy.Clinical breast cancer · 2021Observational
- Review
- Impact of COVID-19 Outbreak on Cancer Patient Care and Treatment: Data from an Outpatient Oncology Clinic in Lombardy (Italy).Cancers · 2020Article
- A Review of Clinical Practice Guidelines and Treatment Recommendations for Cancer Care in the COVID-19 Pandemic.Cancers · 2020Review
- Cancer therapy and treatments during COVID-19 era.Advances in biological regulation · 2020Review
- Perspective of Uncertainty and Emotional Responses in Breast Cancer Patients During the COVID-19 Pandemic.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 3 institutions in 1 country.
Funding
Abstract
Northern Italy has been one of the European regions reporting the highest number of COVID-19 cases and deaths. The pandemic spread has challenged the National Health System, requiring reallocation of most of the available health care resources to treat COVID-19-positive patients, generating a competition with other health care needs, including cancer. Patients with cancer are at higher risk of developing critical illness after COVID-19 infection. Thus, mitigation strategies should be adopted to reduce the likelihood of infection in all patients with cancer. At the same time, suboptimal care and treatments may result in worse cancer-related outcome. In this article, we attempt to estimate the individual risk-benefit balance to define personalized strategies for optimal breast cancer management, avoiding as much as possible a general untailored approach. We discuss and report the strategies our Breast Unit adopted from the beginning of the COVID-19 outbreak to ensure the continuum of the best possible cancer care for our patients while mitigating the risk of infection, despite limited health care resources. IMPLICATIONS FOR PRACTICE: Managing patients with breast cancer during the COVID-19 outbreak is challenging. The present work highlights the need to estimate the individual patient risk of infection, which depends on both epidemiological considerations and individual clinical characteristics. The management of patients with breast cancer should be adapted and personalized according to the balance between COVID-19-related risk and the expected benefit of treatments. This work also provides useful suggestions on the modality of patient triage, the conduct of clinical trials, the management of an oncologic team, and the approach to patients' and health workers' psychological distress.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.