The impact of COVID-19 on and recommendations for breast cancer care: the Singapore experience

Chan, Jack Junjie; Sim, Yirong; Ow, Samuel G.W.; Lim, Joline Si Jing; Kusumawidjaja, Grace; Zhuang, Qingyuan; Wong, Ru Xin; Wong, Fuh Yong; Tan, Veronique Kiak Mien; Tan, Tira Jing Ying

doi:10.1530/erc-20-0157

Cited by 31 publications

(37 citation statements)

References 57 publications

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“…The European Society for Medical Oncology Guidelines include increasing telehealth appointments (noting in person visits are needed for new cancer patients or urgent infections / post-operative complications) and specific guidance for management and advised that the risk/benefit balance for most patients favored continued administration of systemic therapies and chemotherapies, with additional precautions when possible (e.g., choosing less immunosuppressive therapies, regimens requiring fewer appointments) 26 . Numerous other guidance documents have emerged fluidly including from ASCO and an online resource from ASCO, and others globally 18 , 28 , 29 , 30 , 31 , 32 , 33 .…”

Section: Initial Response: Routine Health Care Deferredmentioning

confidence: 99%

The Impact of the COVID-19 Pandemic on Breast Imaging

Freer¹

2021

Radiologic Clinics of North America

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Synopsis: Starting in Wuhan, China, followed quickly in the United States in January 2020, an outbreak of a novel coronavirus, or COVID-19 escalated to a global pandemic by March 1,2 . By September 10, 2020, there were almost 28 million cases worldwide and nearly 6.4 million U.S. cases, with almost 1 million and 200,000 deaths, respectively 3 . The outbreak dramatically disrupted global public health as well as precipitated upheaval to the economy and society. With no vaccine or adequate treatment, the most significant weapon to curtail its destruction was a global policy of “social distancing”, advising people to quarantine at home, closing schools and businesses, and disrupting routine health care. As the pandemic lasted, the need to re-open the economy and health care emerged with precautions placed for masking and social distancing. Significant disruptions occurred to breast imaging including deferred screening mammography, triaging diagnostic breast imaging, and changes in breast cancer care algorithms. This article summarizes the effect of the global pandemic – and efforts to curtail its spread – on both breast cancer care and on breast imaging practices including effects on patients, clinical workflow, education and research.

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Section: Initial Response: Routine Health Care Deferredmentioning

confidence: 99%

The Impact of the COVID-19 Pandemic on Breast Imaging

Freer¹

2021

Radiologic Clinics of North America

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“…During this COVID-19 pandemic, the uncertainty of when this pandemic might end has a significant psychological impact on individuals (Tsamakis et al, 2020) and may heighten the unknowns faced by CS, raising anxiety levels. Doctors may delay non-urgent routine appointments for cancer surveillance to a later date, which could heighten worry about recurrence (Chan et al, 2020).…”

Section: Cancer Survivorship During Covid-19 As a Double Crisismentioning

confidence: 99%

Managing the impact of COVID-19 on cancer survivors in Singapore

Khng

2020

Asia Pacific Journal of Social Work and Development

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“…A total of 1.53% (441/28,904) of the included publications were about patients with cancer during the COVID-19 pandemic (eg, [88][89][90][91]). The following authors published the highest number of articles related to this topic: Solange Peters (n=6), Umberto Ricardi (n=5), Conghua Xie (n=5), Giuseppe Curigliano (n=5), and Alessio Cortellini (n=4).…”

Section: Topic 14: Patients With Cancer During the Covid-19 Pandemicmentioning

confidence: 99%

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis (Preprint)

Abd‐Alrazaq¹,

Schneider²,

Mifsud³

et al. 2020

Preprint

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BACKGROUND Shortly after the emergence of the novel coronavirus disease (COVID-19), researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccination. This led to a rapid increase in the number of COVID-19-related publications. Identifying trends and areas of interest using traditional review methods (e.g, scoping review and systematic reviews) for such a large domain area is challenging. OBJECTIVE We aimed to conduct an extensive bibliometric analysis to provide a comprehensive overview of the COVID-19 literature. METHODS We used the COVID-19 Open Research Dataset (CORD-19) that consists of enormous number of articles related to all coronaviruses. We used machine learning method to analyse most relevant COVID-19 related articles and extracted most prominent topics. Specifically, we used clustering algorithm to group articles based on similarity of their abstracts to identify the research hotspots and current research directions. RESULTS Of the 196,630 publications retrieved from the database, we included 28,904 in the analysis. The mean number of weekly publications was 990 (SD=789.3). The country that published the highest number of articles was China (n=2,950). The largest number of documents was published in BioRxiv. Lei Liu affiliated in the Southern University of Science and Technology in China published the highest number of documents (n=46). Based on titles and abstracts alone, we were able to identify 1,515 surveys, 733 systematic reviews, 512 cohort studies, 480 meta-analyses, 362 randomized control trials. We identified 19 different topics addressed by the included studies. The most dominant topic was public health response followed by clinical care practices during COVID-19, its clinical characteristics and risk factors, and epidemic models for its spread. CONCLUSIONS We provided an overview of the COVID-19 literature and identified current hotspots and research directions. Our findings can be helpful to the research community by helping prioritize research needs, and recognize leading COVID-19 researchers, institutes, countries, and publishers. This study showed that an AI-based bibliometric analysis has the potential to rapidly explore large corpora of academic publications during a public health crisis. Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.

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The impact of COVID-19 on and recommendations for breast cancer care: the Singapore experience

Cited by 31 publications

References 57 publications

The Impact of the COVID-19 Pandemic on Breast Imaging

The Impact of the COVID-19 Pandemic on Breast Imaging

Managing the impact of COVID-19 on cancer survivors in Singapore

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis (Preprint)

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