Impact of the COVID-19 pandemic on the diagnosis of cancer in Japan: analysis of hospital-based cancer registries.

BACKGROUND: There is significant concern that cancer care is adversely impacted due to the coronavirus disease pandemic. Using the national database, we document the impact of the pandemic on cancer diagnosis in Japan. METHODS: Data from 735 hospital-based cancer registries, covering >70% of newly diagnosed cases, were analysed. We compared trends during 2016-2019 and those in 2020 by the type of cancer, diagnostic process, stage and 13 prefectures as requiring special precautions to prevent the spread of infection. RESULTS: Overall, the number of patients who began treatment decreased by 1.9% in 2020 as compared with the average number during 2016-2019. A sharp decline of 13.8% was observed for stomach cases. The decline in cases (22.0% decrease for all cancers) was more pronounced in May. Cancer screening and resulting detection decreased significantly in 2020 (8.1-24.3%). Case registrations of stage I and II gastric cancer, stage II intrahepatic cholangiocarcinoma, stage II oesophageal cancer, stage 0 and I laryngeal cancer and stage II gallbladder cancer decreased by >10% compared with those in 2018 and 2019. The trends in cancer cases by area of residence indicated a decline in 13 prefectures in May 2020 compared with other areas. CONCLUSIONS: The number of cancer diagnoses decreased during the year 2020 under coronavirus pandemic, especially right after the Japanese government declared the first state of emergency in April. We need to carefully observe the consequences of these decrease in diagnosis, or perhaps the delay in care, on patient survival or population mortality.

Coverage of the hospital-based cancer registries and the designated cancer care hospitals in Japan.

BACKGROUND: Hospital-based cancer registries were developed to describe and improve clinical care for cancer patients. We described the hospital-based cancer registry coverage as a reference for the users, including researchers, policymakers and clinicians. METHODS: The hospital-based cancer registry coverage was defined as the proportion of new cases registered in the hospital-based cancer registry to the National Cancer Registry as the denominator. To examine the coverage of respective cancer types, age groups and prefecture in the hospital-based cancer registry, cases were grouped based on the 10th International Statistical Classification of Diseases and Related Health Problems and were compared with the published report of the National Cancer Registry in 2017. RESULTS: The overall hospital-based cancer registries coverage was 71.7%, and 52.5% of patients were treated at designated cancer care hospitals. The hospital-based cancer registries coverage and treatment rates at designated cancer care hospitals varied per cancer type, age group, and prefecture. The hospital-based cancer registries covered over 80% of the patients with cancers of the larynx, uterus, oesophagus, lip, oral cavity, pharynx and skin, whereas patients' coverage with thyroid cancer was relatively low. The hospital-based cancer registry coverage of young patients (<15 years) was >80%, whereas that for elderly patients (≥85 years) was <55%. The range of coverage in each prefecture was from 43.0 to 89.7%. Over 70% of the patients with cancers of the larynx, lip, oral cavity and pharynx were treated at designated cancer care hospitals. CONCLUSIONS: The hospital-based cancer registry coverage is ~70% of all cancers. Because the coverage differed across cancers and age groups, the respective target groups' analysis should consider this factor.

Treatment selection for esophageal cancer: evaluation from a nationwide database.

BACKGROUND: Most elderly patients poorly tolerate the standard treatment for esophageal cancer; however, little information is available regarding the appropriateness of non-standard esophageal cancer treatments for those patients. This study aims to analyze the treatment costs and completion rates of patients undergoing a real-world treatment for esophageal cancer to elucidate the treatment selection and its quality. MATERIALS AND METHODS: We analyzed treatment costs and completion rates for patients with esophageal cancer and analyzed these data relative to patient age and center volumes. Patients with esophageal cancer [UICC, TMN, Clinical stage II/III (excluding T4)] who were diagnosed in 2013 were analyzed. Patients were classified into five groups defined as follows: surgical therapy, chemotherapy, concurrent chemoradiotherapy (CCRT), modified concurrent chemoradiotherapy (mCRT), and radiotherapy (RT). RESULTS: Mean and median age of patients who received surgery and CCRT were comparable; however, patients who underwent mCRT and RT tended to be older. Medical costs associated with surgery were higher than costs associated with other non-surgical treatments. Cost and completion rate of chemoradiotherapy did not differ between CCRT and mCRT; however, both had higher completion rates compared to that of RT. Surgical expenses tended to be the highest in low-volume centers and the lowest in high-volume centers. CONCLUSION: Treatment of esophageal cancer at high-volume centers seems well balanced compared with medium- to low-volume centers. mCRT was widely performed and comparable in medical cost to CCRT, although additional clinical impacts were unclear.

Completeness and Consistency of Epidemiological Variables from Hospital-Based Cancer Registries in a Brazilian State.

OBJECTIVE: To evaluate the completeness and consistency of data from hospital-based cancer registries (HCRs) in a Brazilian state. METHODS: This retrospective descriptive study was based on secondary data from an HCR in the state of Espírito Santo (ES) between 2010 and 2017. The data were collected between August and November 2020 by the ES State Health Department (SESA/ES). Cancer data were obtained from the HCR of ES using the tumor registration form of the Brazilian Hospital Cancer Registry Integrator and complete databases within the SESA/ES. The incompleteness of the data was classified as excellent (<5%), good (between 5% and 10%), regular (between 10% and 20%), poor (between 20% and 50%), and very poor (>50%), according to the percentage of the absence of information. Descriptive statistical analyses were performed using Statistical Package for the Social Sciences (SPSS® Inc., Chicago, IL, USA) version 20.0. RESULTS: Complete data were observed for the variables of sex, date of the first hospital visit, and histological type of the primary tumor; that is, there were no missing data. Most epidemiological variables, including age, origin, date of first tumor diagnosis, previous diagnosis and treatment, location of the primary tumor, first treatment received at the hospital, date of death of the patient, and probable location of the primary tumor, were classified as having excellent completeness throughout the study period. However, the variables schooling, smoking, alcohol consumption, occupation, family history of cancer, and clinical staging of the tumor were classified as poor. CONCLUSION: Most epidemiological variables from the HCR in the state of ES, Brazil, showed excellent completeness. It is essential to elucidate the sociodemographic and clinical variables of epidemiological importance for a better understanding of the health-disease process.

Construction and Validation of Hospital-Based Cancer Registry Using Various Health Records to Detect Patients with Newly Diagnosed Cancer: Experience at Asan Medical Center / 예방의학회지

OBJECTIVES: An accurate estimation of cancer patients is the basis of epidemiological studies and health services. However in Korea, cancer patients visiting out-patient clinics are usually ruled out of such studies and so these studies are suspected of underestimating the cancer patient population. The purpose of this study is to construct a more complete, hospital-based cancer patient registry using multiple sources of medical information. METHODS: We constructed a cancer patient detection algorithm using records from various sources that were obtained from both the in-patients and out-patients seen at Asan Medical Center (AMC) for any reason. The medical data from the potentially incident cancer patients was reviewed four months after first being detected by the algorithm to determine whether these patients actually did or did not have cancer. RESULTS: Besides the traditional practice of reviewing the charts of in-patients upon their discharge, five more sources of information were added for this algorithm, i.e., pathology reports, the national severe disease registry, the reason for treatment, prescriptions of chemotherapeutic agents and radiation therapy reports. The constructed algorithm was observed to have a PPV of 87.04%. Compared to the results of traditional practice, 36.8% of registry failures were avoided using the AMC algorithm. CONCLUSIONS: To minimize loss in the cancer registry, various data sources should be utilized, and the AMC algorithm can be a successful model for this. Further research will be required in order to apply novel and innovative technology to the electronic medical records system in order to generate new signals from data that has not been previously used.