Journal of registry management最新文献

This quiz is derived from the article, "An examination of liver cancer incidence in California" by Fran Maguire, PhD and co-authors. After reading the article and completing the quiz, participants will be able to: Identify the trends in the 2 main types of liver cancerDescribe demographic patterns of liver cancer trends.

Colorectal cancer (CRC) is a common malignancy in the United States, ranking as the third-leading cause of cancer-related deaths. Early detection is crucial for prognosis, treatment, and survival, yet disparities persist in CRC outcomes based on age, sex, race, and geography. In Arkansas, a significant proportion of CRC cases are diagnosed at a late stage, with notable disparities observed among different demographic groups. In this study, we utilized data from the Arkansas Central Cancer Registry (ACCR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program to analyze CRC incidence and mortality rates in Arkansas and examine the associated disparities and risk factors. Data were stratified by sex, race, age, geographic area, and stage at diagnosis. Temporal trends and age-adjusted rates were computed using SEER*Stat software, and a bootstrapped logistic regression model was developed to identify predictors of late-stage CRC diagnosis. The analysis revealed that men had higher CRC mortality and incidence rates compared to women, with a mortality rate ratio (MRR) of 1.47 and an incidence rate ratio (IRR) of 1.35. Black individuals exhibited higher CRC mortality and incidence rates than their White counterparts (MRR, 1.46; IRR, 1.29). Late-stage CRC diagnosis was more common among men and individuals of Black race. Temporal trends showed a decline in CRC incidence from 2001 to 2011, followed by an increase from 2011 to 2019. Individuals aged 18-49 years experienced a significant rise in CRC incidence, highlighting an emerging concern for early-onset CRC. Geographic analysis indicated higher CRC incidence in rural vs urban areas. Overall, significant disparities in CRC outcomes were observed by sex, race, age, and geography. The increase in CRC incidence among younger adults underscores the need for targeted screening and early detection strategies. Geographic disparities highlight the necessity of improving health care access and screening services in rural areas.

Background: Chronic infection with hepatitis B or C substantially increases risk of hepatocellular carcinoma. However, central cancer registries do not routinely collect information on hepatitis diagnoses. We evaluated the extent to which information on hepatitis B or C diagnosis could be ascertained from linked external data sources for cancers reported to the New York State Cancer Registry.

Methods: We linked data for 14,747 New York City (NYC) residents diagnosed with liver or intrahepatic bile duct cancer during 2004-2018 to 2 data sources: (1) the NYC Viral Hepatitis Surveillance Registry, which collects information on reported probable and confirmed cases of hepatitis B and C from New York laboratories and health care providers, and (2) the New York Statewide Planning and Research Cooperative System (SPARCS), which captures hepatitis diagnosis codes from hospital inpatient stays and outpatient encounters. We determined whether documentation of hepatitis B or C was present in 1 or both data sources, assessed concordance between the data sources, and used multivariable-adjusted logistic regression to examine factors associated with discordance in hepatitis positivity.

Results: Of the 14,747 cancer cases included, 3,972 had documentation in either data source of hepatitis B (26.9%), 7,599 had documentation of hepatitis C (51.5%), and 9,753 had either diagnosis (66.1%). There was moderate to substantial agreement between the 2 data sources. The percent of NYC patients with any unrecorded hepatitis infection was 12.7% for the hepatitis registry and 7.8% for SPARCS, and discordance in hepatitis positivity was more common in certain individuals, including those aged ≥70 years at cancer diagnosis and those with intrahepatic bile duct cancer, Hispanic ethnicity (hepatitis registry only), and Black or Asian race (SPARCS only).

Conclusions: These results indicate that hospital discharge and public health surveillance data can be used to assess individual-level hepatitis B and C infection status in people diagnosed with liver cancer. Possible reasons for discrepancies between the data sources include incomplete reporting in the hepatitis registry, especially for earlier diagnosis years, differing case inclusion criteria, and differences in the linkage methods for the 2 data sources. This information can be used to enrich cancer registry data for epidemiologic analyses of hepatocellular carcinoma and other cancers.

Background: Life-course exposure assessment, as opposed to a one-time snapshot assessment based on the address at cancer diagnosis, has become increasingly possible with available cancer patients' residential history data. To demonstrate a novel application of residential history data, we examined the heterogeneous trajectories of the nonasbestos air toxic exposures among mesothelioma patients, and compared the patients' residential locations with the spatiotemporal clusters estimated from the National Air Toxic Assessment (NATA) data.

Methods: Patients' residential histories were obtained by linking mesothelioma cases diagnosed during 2011-2015 in the New York State (NYS) Cancer Registry to LexisNexis administrative data and inpatient claims data. To compare cancer risks over time, yearly relative exposure (RE) was calculated by dividing the NATA cancer risk at individual census tracts by the NYS average and subtracting 1. We used a latent class mixed model to identify distinct exposure trajectories among patients with a 15-year residential history prior to cancer diagnosis (n = 909). We further examined patient characteristics by the latent trajectory groups using bivariate comparisons and a logistic regression model. The spatiotemporal clusters of RE were generated based on all NATA data (n = 72,079) across the contiguous United States and using the SaTScan software.

Results: The median number of addresses lived was 2 (IQR, 1-4), with a median residential duration of 8 years (IQR, 4.7-13.2 years). We identified 3 distinct exposure trajectories: persistent low exposure (27%), decreased low exposure (41%), and increased high exposure (32%). Patient characteristics did not differ across trajectory groups, except for race and Hispanic ethnicity (P < .0001) and residential duration (P = .03). Compared to their counterparts, non-Hispanic White patients had a significantly lower odds of belonging to the increased high exposure group (adjusted odds ratio, 0.14; 95% CI, 0.09-0.23) than the persistent low exposure and decreased low exposure groups. Patients in the increased high exposure group tended to reside in New York City (NYC), which was covered by one of the high-RE clusters. On the other hand, patients in the persistent low exposure group tended to reside outside of NYC within NYS, which was largely covered by 2 low-RE clusters.

Conclusion: Using mesothelioma as an example, we quantified the heterogeneous trajectories of nonasbestos air toxic exposure based on patients' residential histories. We found that patients' race and ethnicity differed across the latent groups, likely reflecting the differences in patients' residential mobility before their cancer diagnoses. Our method can be used to study cancer types that do not have a clear etiology and may have a higher attributable risk due to environmental exposures as well as

The Alaska Cancer Registry (ACR) conducted a study to identify and correct the vital status of certain cases in its database. These cases were reported as deceased by the original reporting health care facility but were not identified as being deceased using routine death resources. Cases incorrectly reported as deceased are referred to here as "zombies," as they are the "living dead" in the registry database. Zombie cases are problematic as they contribute toward artificially high mortality rates and artificially low survival rates. They are the opposite of "immortals," a term used in the literature to indicate cases that are alive in the registry database but are actually deceased. To start the study, ACR first linked its registry database to the state mortality database, the Social Security Death Index (SSDI), and the National Death Index (NDI). ACR has 3 non-North American Association of Central Cancer Registries (NAACCR) flag fields indicating the status of the linkage with these 3 data sources. ACR was able to identify zombie candidates by selecting deceased cases that did not successfully link with any of these 3 mortality data sources. After all 3 linkages were completed, ACR identified 20 zombie candidates out of 19,590 deceased cases. ACR researched these patients in several state-specific databases and found that 14 of them were true zombies and changed their vital status to alive. Of the remaining 6 deceased cases, 3 died out of country, 2 died in state, and 1 died out of state. ACR recommends that other state registries consider adding these 3 non-NAACCR mortality database flag fields, as they would make searching for zombie cases fairly routine. It would also serve as a way to perform a quality control check on deceased cases that accidentally become alive again after consolidation with a new facility source record.

Quality assurance is the foundation of clinical data abstraction. Meaningful insights can only be drawn from quality data. Through the development of robust quality-control processes for technology-enabled curation, Syapse's certified tumor registrars enrich real-world oncology data, supporting oncology patient care and research for a network of community health systems.

After reading the educational posters and completing the quiz, participants will be able to: Describe the primary goal of the National Childhood Cancer Registry (NCCR)Understand the purpose of the Pediatric Site-Specific Data Items (SSDI) Work GroupDescribe the Toronto Pediatric Cancer Stage Guidelines.

The past several years have been marked by substantial growth in pediatric cancer data and collection across the world. In the United States, multiple projects and standard setters have laid a foundation for the growth of this data, and the need for an overview and explanation of a few of the programs directly relevant to cancer registrars has become apparent. This article will discuss 3 initiatives that highlight many of the efforts and intricacies involved with the collection of pediatric cancer data in the cancer registry world: the National Childhood Cancer Registry, the Toronto Pediatric Cancer Stage Guidelines, and the Pediatric Site-Specific Data Items Work Group.