The impact of the coronavirus disease 2019 (COVID-19) outbreak on cancer practice in Japan: using an administrative database
Itoshima, H.; Asami, Y.; Shin, J.-h.; Takada, D.; Morishita, T.; Bun, S.; Okuno, T.; Kunisawa, S.; Imanaka, Y.
Show abstract
BackgroundRecent researches reported the impact of the coronavirus disease 2019 (COVID - 19) pandemic on the clinical practice of specific type cancers. The aim of this study was to reveal the impact of the COVID-19 outbreak on the clinical practice of various cancers. MethodsWe included hospitalized patients aged 18 years or older diagnosed between July 2018 and June 2020 with one of the top 12 most common cancers in Japan (colon/rectum, lung, gastric, breast, bladder & urinary tract, pancreas, non-Hodgkin lymphoma, liver, prostate, esophagus, uterus, and gallbladder & biliary tract) using Diagnostic Procedure Combination data, an administrative database in Japan. The intervention was defined April 2020 based on a declaration of emergency from Japanese government. The change volume of number of monthly admissions with each cancer was tested by interrupted time series (ITS) analysis, and monthly cases with radical surgery or chemotherapy for each cancer were descripted. Results403,344 cases were included during the study period. The most common cancer was colon/rectum (20.5%), followed by lung (17.5%). In almost cancer cases, the number of admissions decreased in May 2020. In particular, colorectal, lung, gastric, breast, uterine, or esophageal cancer cases decreased by over 10%. The number of admissions with surgery or chemotherapy decreased in colorectal, lung, gastric, breast, uterine, or esophageal cancer. ITS analysis indicated that cases with gastric or esophageal cancer were affected more than other type of cancer. ConclusionsThe COVID-19 outbreak has a negative impact on the number of admission cases with cancer; the magnitude of impact varied by cancer diagnosis.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Medium-term impacts of the waves of the COVID-19 epidemic on treatments for non-COVID-19 patients in intensive care units: a retrospective cohort study in Japan 95%
- Economic impact of the first wave of the COVID-19 pandemic on acute care hospitals in Japan 95%
- Machine learning based prediction of recurrence after curative resection for rectal cancer 95%
Similar papers in this journal
- Post COVID-19 condition of the Omicron variant of SARS-CoV-2 92%
- Diagnostic performance of a novel digital immunoassay (RapidTesta SARS-CoV-2): a prospective observational study with 1,127 nasopharyngeal samples 92%
- Safety and Immunogenicity of the COVID-19 Vaccine BNT162b2 in Patients Undergoing Chemotherapy for Solid Cancer 91%
Similar papers in this journal
- DNMT family induced down-regulation of NDRG1 via DNA methylation and clinicopathological significance in gastric cancer 93%
- COVID-19 Mortality in Cancer Patients: A Report from a Tertiary Cancer Centre in India 91%
- A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization 91%
Similar papers in this journal
- The impact of the COVID-19 pandemic and related control measures on cancer diagnosis in Catalonia:A time-series analysis of primary care electronic health records covering about 5 million people. 94%
- p16 Expression and its correlation with the clinical pathological characteristics of cervical cancer patients: a systematic review and meta-Analysis 93%
- Age differences in clinical features and outcomes in patients with COVID-19, Jiangsu, China: a retrospective, multi-center cohort study 93%
Similar papers in this journal
- Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data 92%
- Cyclin G2 inhibits oral squamous cell carcinoma growth and metastasis by binding to insulin-like growth factor binding protein 3 and regulating the FAK-SRC-STAT signaling pathway 92%
- Hepatic resection versus transarterial chemoembolization for the intermediate stage hepatocellular carcinoma: A cohort study 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.