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Background: The novel coronavirus disease 2019 (COVID-19) pandemic has significantly impacted end-of-life decisions for cancer patients in Japan, with disparities existing between preferred and actual care settings. Our study investigates the potential shifts in cancer death locations during the pandemic and if there were excess cancer deaths.
Methods: Utilizing national mortality data from the Ministry of Health, Labour and Welfare from January 2012 to February 2023, we identified cancer deaths using International Classification of Disease, 10 revision codes. We assessed death locations, including medical institutions, nursing facilities, and homes. The Farrington algorithm was employed to estimate expected death counts, and the differences between observed and expected counts were denoted as excess deaths.
Results: From January 2018 to February 2023, there was consistently increase in the weekly observed cancer deaths. The presence of a definitive excess during the pandemic period remains uncertain. The percentage of deaths in medical institutions declined from 83.3% to 70.1%, while home deaths increased from 12.1% to 22.9%. Between April 2020 and February 2023, deaths in medical institutions frequently fell below the 95% prediction lower limit. Home deaths consistently exceeded the 95% prediction upper limit, with significant excess deaths reported annually.
Conclusion: Our study found a shift in cancer death locations from medical institutions to homes in Japan during the COVID-19 pandemic. Our study did not confirm an overall increase in cancer deaths during this period. As with global trends, the profound shift from hospitals to homes in Japan calls for a comprehensive exploration to grasp the pandemic's multifaceted impact on end-of-life cancer care decisions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11167266 | PMC |
http://dx.doi.org/10.2188/jea.JE20230235 | DOI Listing |
Front Oncol
August 2025
Department of Radiotherapy, Nantong First People's Hospital (Affiliated Hospital 2 of Nantong University), Nantong, Jiangsu, China.
Purpose: Non-completion of radiotherapy courses (NCRC) may happen in patients undergoing intensity-modulated radiotherapy (IMRT). Analyzing the reasons and risk factors for NCRC can lead to possible targeted measures to reduce the incidence rate. This six-year retrospective study will present a cohort analysis of NCRC from a single center.
View Article and Find Full Text PDFCurr Alzheimer Res
September 2025
Department of Biochemistry, General Medicine Practice Program, Batterjee Medical College, Jeddah, Saudi Arabia.
A serine/threonine kinase with a wide variety of substrates, Glycogen Synthase Kinase-3 (GSK-3) is widely expressed. GSK-3 is a key player in cell metabolism and signaling, modulating numerous cellular functions and playing significant roles in both healthy and diseased states. The two histopathological features of Alzheimer's disease, the intracellular neurofibrillary tangles composed of hyperphosphorylated tau, and the extracellular senile plaques composed of beta-amyloid, have been linked to GSK-3.
View Article and Find Full Text PDFEnviron Res
September 2025
Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; National Institute of Health Data Science, Peking University, Beijing 100191, China; Renal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing 1
Objective: The impact of desert-originated dust has been underestimated in fine particulate matters (PM)-related disease burden studies. This study aimed to assess the association of long-term dust PM exposure and all-cause mortality among older adults in China.
Methods: A cohort study using electronic health records (2010-2020) across Weinan, a city in northwest China, which experiences persistently high PM levels and frequent sand and dust storms, included 1,553,724 adults aged ≥45 years.
J Clin Neurosci
September 2025
Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Electronic address:
Background: Meningiomas exhibit considerable phenotypic variation within each WHO grade, thus additional markers are needed to identify prognostically relevant subgroups and optimize long-term management. Among biomarkers, genetic signatures correlate with prognoses. High Ki-67 proliferation indices and TERT promotor mutations and loss of CDKNA are known prognostic markers.
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