Margaret Gates Kuliszewski, Baozhen Qiao, Xiuling Zhang, Holly Anger, Maria J Schymura, Tabassum Insaf
{"title":"Ascertainment of Hepatitis B and C Infection from Linked Data Sources for Residents of New York City Diagnosed with Liver or Intrahepatic Bile Duct Cancer.","authors":"Margaret Gates Kuliszewski, Baozhen Qiao, Xiuling Zhang, Holly Anger, Maria J Schymura, Tabassum Insaf","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 4","pages":"146-157"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilizing Residential History to Examine Heterogeneous Exposure Trajectories: A Latent Class Mixed Modeling Approach Applied to Mesothelioma Patients.","authors":"Bian Liu, Furrina F Lee","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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: <i>persistent low exposure</i> (27%), <i>decreased low exposure</i> (41%), and <i>increased high exposure</i> (32%). Patient characteristics did not differ across trajectory groups, except for race and Hispanic ethnicity (<i>P</i> < .0001) and residential duration (<i>P</i> = .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.</p><p><strong>Conclusion: </strong>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","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 4","pages":"144-154"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945925/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140176914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eileen Morgan, Colette O'Neill, Aude Bardot, Paul Walsh, Isabelle Soerjomataram, Melina Arnold
{"title":"The Challenges of Collecting Long-Term Outcomes in Cancer Patients on the Population-Level: The Case of Metastatic Breast Cancer.","authors":"Eileen Morgan, Colette O'Neill, Aude Bardot, Paul Walsh, Isabelle Soerjomataram, Melina Arnold","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 4","pages":"173-175"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140176912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Finding \"Zombies\" in Your Database by Confirming Vital Status.","authors":"David K O'Brien","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>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 <i>deceased</i> 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 <i>alive</i>. 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.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 2","pages":"57-59"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414203/pdf/jrm-50-57.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9995765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"HPV-Related Cancer Incidence-Rates and Trends in Washington State.","authors":"Katie Treend, Mahesh Keitheri Cheteri, Patti Migliore Santiago, Sherylene Agcaoili","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 1","pages":"36-37"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414205/pdf/jrm-50-36.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9990506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine Levie, Betsy Cromartie, Marianna Wicks, Joseph Burkhart, Sarah Kennedy, Dana Hess, Frank Wolf, Louise Widmer
{"title":"Quality Assurance and Technology-Enabled Curation of Oncology Real-World Data: The Importance of Individual Quality Reviews.","authors":"Katherine Levie, Betsy Cromartie, Marianna Wicks, Joseph Burkhart, Sarah Kennedy, Dana Hess, Frank Wolf, Louise Widmer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 2","pages":"60-63"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414195/pdf/jrm-50-60.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9995761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"<i>Journal of Registry Management</i> Continuing Education Quiz-FALL 2023: THE TRAJECTORY OF PEDIATRIC CANCER DATA AND COLLECTION IN THE UNITED STATES.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"<p><p><b>After reading the educational posters and completing the quiz, participants will be able to:</b> 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.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 3","pages":"104"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629808/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71522881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Angela Costantini, Fernanda Silva Michels, Jennifer Ruhl, Stephanie Hill, Betsy Kohler, Serban Negoita
{"title":"The Trajectory of Pediatric Cancer Data and Collection in the United States.","authors":"Angela Costantini, Fernanda Silva Michels, Jennifer Ruhl, Stephanie Hill, Betsy Kohler, Serban Negoita","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 3","pages":"82-84"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629799/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71522889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacqueline M Mix, Maureen J Miller, Troy D Querec, Teresa M Darragh, Mona Saraiya, Sameer V Gopalani, Charles F Lynch, Trevor D Thompson, April Greek, Thomas C Tucker, Edward S Peters, Elizabeth R Unger
{"title":"Human Papillomavirus Detection in Scrotal Squamous Cell Carcinoma: Case Series from a Population-Based Cancer Registry.","authors":"Jacqueline M Mix, Maureen J Miller, Troy D Querec, Teresa M Darragh, Mona Saraiya, Sameer V Gopalani, Charles F Lynch, Trevor D Thompson, April Greek, Thomas C Tucker, Edward S Peters, Elizabeth R Unger","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Introduction: </strong>Scrotal squamous cell carcinomas (SCCs) are rare malignancies that are not considered to be associated with the human papillomavirus (HPV) by the International Agency for Research on Cancer. However, recent studies have detected HPV in these cancers. We sought to determine the presence of HPV types among scrotal cancer cases identified through population-based cancer registries.</p><p><strong>Methods: </strong>Primary scrotal SCCs diagnosed from 2014 to 2015 were identified, and tissue sections from formalin-fixed, paraffin-embedded tissue blocks were obtained for laboratory testing. A pathology review was performed to confirm morphology. HPV testing was performed using L1 consensus polymerase chain reaction analysis. Immunohistochemistry was used to evaluate p16INK4a (p16) expression.</p><p><strong>Results: </strong>Five cases of scrotal SCC were identified from 1 cancer registry. Age at diagnosis ranged from 34 to 75 years (median, 56 years). Four cases were non-Hispanic White, and 1 was non-Hispanic Black. The morphologic subtype of 4 cases was keratinizing (usual), and 1 case was verrucous (warty) histologic subtype. Two of the usual cases of SCC were HPV-negative and p16-negative, and 2 were positive for HPV16 and p16. The verrucous (warty) SCC subtype case was HPV6-positive and p16-negative.</p><p><strong>Conclusions: </strong>The presence of HPV16 and p16 overexpression in the examined tissue specimens lends additional support for the role of HPV in the etiology of scrotal SCC.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 4","pages":"116-121"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140176910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Baozhen Qiao, April A Austin, Jamie Musco, Tabassum Insaf, Maria J Schymura
{"title":"Using LexisNexis to Improve Social Security Number Information in the New York State Cancer Registry.","authors":"Baozhen Qiao, April A Austin, Jamie Musco, Tabassum Insaf, Maria J Schymura","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Social Security numbers (SSNs) collected by cancer surveillance registries in the United States are used for patient matching, deduplication, follow-up, and linkage studies. However, due to various reasons, a small proportion of patient records have missing or inaccurate SSNs. Recently, New York State Cancer Registry (NYSCR) data have been linked to LexisNexis data to obtain patient demographic information, including SSNs. The current study evaluated the feasibility of using LexisNexis to improve SSN information in the NYSCR.</p><p><strong>Materials and methods: </strong>Patients diagnosed during the years 2005-2016, aged 21 or older, in the NYSCR were linked to LexisNexis data. For the matched patients, LexisNexis returned demographic information, including SSNs as available. Percentages of patients without LexisNexis matches or without LexisNexis SSNs were examined by demographic characteristics. We used multivariate logistic regression analyses to further evaluate how patient demographic characteristics affected the likelihood of no LexisNexis matches or of no SSNs returned. For patients with SSNs returned, LexisNexis SSNs were compared with registry SSNs. If patients had prior missing registry SSNs or if LexisNexis SSNs were inconsistent with registry SSNs, we used Match*Pro to review and verify match status. Registry SSNs were updated for those confirmed to be true matches. Improvement of SSNs was assessed based on percentage reduction of missingness.</p><p><strong>Results: </strong>Of 1,396,078 patient records submitted for LexisNexis linkage, 1.6% were not matched. Among those matched, 1.5% did not have SSNs returned. Multivariate logistic regression analyses indicated that patients who were female, Black, Asian Pacific Islander (API), Hispanic, born outside the United States, deceased, or living in poorer census tracts were more likely to not have LexisNexis matches, or to not have SSNs returned. Among 47,271 patients with missing registry SSNs (3.4%), 26,895 had SSNs returned from LexisNexis, and 24,919 were confirmed to be true matches. After registry SSNs updates, the percentage of SSN missingness was reduced to 1.7%, with a larger absolute reduction observed among those who were younger than 60 years, API, or alive. For 33,057 patients with inconsistent SSNs, 11,474 were due to incorrect consolidations of SSNs in the registry, and those SSNs were subsequently fixed.</p><p><strong>Conclusions: </strong>LexisNexis is a valuable resource for improving the quality of SSN information in registries. Our results showed that the overall percentage of patients with missing SSNs was reduced from 3.4% to 1.7% after LexisNexis link-age, and SSNs that were initially incorrectly consolidated for some patients were also identified and subsequently fixed. However, the magnitude of SSN improvement varied by patient demographic characteristics. Data quality improvements often require resources, and this evaluation can as","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"50 4","pages":"138-143"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10945922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140176913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}