Journal of insurance medicine (New York, N.Y.)最新文献

{"title":"Non-Hodgkin Lymphoma - Nodal and Extranodal: 20-Year Comparative Mortality, Survival & Biologic Behavior Analysis by Age, Sex, Race, Stage, Cell Morphology/Histology, Cohort Entry Time-Period and Disease Duration: A Systematic Review of 384,651 Total NHL Cases Including 261,144 Nodal and 123,507 Extranodal Cases for Diagnosis Years 1975-2016: (SEER*Stat 8.3.6).","authors":"Anthony F Milano","doi":"10.17849/insm-50-1-1-35.1","DOIUrl":"https://doi.org/10.17849/insm-50-1-1-35.1","url":null,"abstract":"<p><p>During the past 5 decades, there have been reports of increases in the incidence and mortality rates of non-Hodgkin lymphoma (NHL) in the United States and globally. The ability to address the epidemiologic diversity, prognosis and treatment of NHL depends on the use of an accurate and consistent classification system. Historically, uniform treatment for NHL has been hampered by the lack of a systematic taxonomy of non-Hodgkin lymphoma. Before 1982, there were 6 competing classification schemes with contending terminologies for NHL: the Rappaport, Lukes-Collins, Kiel, World Health Organization, British, and Dorfman systems without consensus as to which system is most satisfactory regarding clinical relevance, scientific accuracy and reproducibility and presenting a difficult task for abstractors of incidence information. In 1982, the National Cancer Institute sponsored a workshop1 that developed a working formulation designed to: 1) provide clinicians with prognostic information for the various types of NHLs, and 2) provide a common language that might be used to compare clinical trials from various treatment centers around the world. Studies imply that prognosis is dependent on tumor stage and histology rather than the primary localization per se.2 This study utilizes the National Cancer Institute PDQ adaptation of the World Health Organization's (WHO) updated REAL (Revised European American Lymphoma) classification3 of lymphoproliferative diseases, and the SEER*Stat 8.3.6 database (released Aug 8, 2019) for diagnosis years 1975-2016. In this article, we make use of 40 years of data to examine patterns of incidence, survival and mortality, and selected cell bio-behavioral characteristics of NHL in the United States.</p><p><strong>Objective: </strong>-To update trends in incidence and prevalence in the United States of non-Hodgkin lymphoma, examine, compare and contrast short and long-term patterns of survival and mortality, and consider the outcome impacts of anatomic location of NHL nodal and extranodal subdivisions, utilizing selected ICD-O-3 histologic oncotypes stratified by age, sex, race/ethnicity, stage, cell behavioral morphology and histologic typology, cohort entry time-period and disease duration, employing the statistical database of the National Cancer Institute SEER*Stat 8.3.6 program for diagnosis years 1975-2016.4 Methods.- A retrospective, population-based cohort study using nationally representative data from the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program to evaluate 384,651 NHL cases for diagnosis years 1975-2016 comparing multiple variables of age, sex, race, stage, cell behavioral morphology, cohort entry time-period, disease duration and histologic oncotype. Relative survival statistics were analyzed in two cohorts: 1975-1995 and 1996-2016. Survival statistics were derived from SEER*Stat Database: Incidence - SEER 9 Regs Research Data, November 2018 Submission (1975-20","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41165275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Benign to Malignant: The Arrival of Pituitary Neuroendocrine Tumors (PitNETs).","authors":"Timothy Meagher","doi":"10.17849/insm-50-2-154-156.1","DOIUrl":"10.17849/insm-50-2-154-156.1","url":null,"abstract":"<p><p>Pituitary adenomas were recently reclassified as \"neuroendocrine tumors,\" and are now considered to be cancers. The evolution and justification for this change are described. Critical illness policies, which currently provide coverage of pituitary adenomas under the \"Benign Brain Tumor\" provision must now be modified to reflect this new taxonomy. This change also prompts questions about the use of the words 'benign' and 'tumor' in critical illness policies.</p>","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"JIM Reading List.","authors":"","doi":"10.17849/insm-50-2-157-163.1","DOIUrl":"10.17849/insm-50-2-157-163.1","url":null,"abstract":"","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tongue Carcinoma - 20-Year Comparative Survival and Mortality Analysis by Age, Sex, Race, Stage, Grade, Cohort Entry Time-Period and Disease Duration.","authors":"Anthony F Milano","doi":"10.17849/insm-50-2-123-138.1","DOIUrl":"10.17849/insm-50-2-123-138.1","url":null,"abstract":"<p><p>Cancer of the tongue is an uncommon cancer site, with only 31,378 cases in the SEER 1975-2017 database, fewer than 1% of all reported cancers. This article updates trends in incidence, prevalence, short and long-term survival and mortality of tongue carcinoma.</p>","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"JIM Reading List.","authors":"","doi":"10.17849/insm-50-1-74-79.1","DOIUrl":"https://doi.org/10.17849/insm-50-1-74-79.1","url":null,"abstract":"","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41112825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Antibodies to COVID-19 Due to Infection or Vaccination in US Adults.","authors":"Robert L Stout,&nbsp;Steven J Rigatti","doi":"10.17849/insm-50-1-49-53.1","DOIUrl":"https://doi.org/10.17849/insm-50-1-49-53.1","url":null,"abstract":"<p><strong>Objective: </strong>-Determine the seroprevalence of SARS-CoV-2 infection and vaccination in a population applying for life insurance.</p><p><strong>Setting: </strong>-This is a cross-sectional study of 2584 US life insurance applicants, to determine the seroprevalence of antibodies to COVID-19. This convenience sample was selected on two consecutive days April 25-26, 2022.</p><p><strong>Results: </strong>-For COVID-19, 97.3% are seropositive, and 63.9% have antibodies to nucleocapsid protein, a marker of prior infection. An additional, 33.7% have been vaccinated with no serologic evidence of infection.</p><p><strong>Methodology: </strong>-Serum and urine samples from a nationwide group of insurance applicants for routine risk assessment were collected. The examination of applicants typically occurs, in their homes, their place of employment, or a clinic. The paramedic exam occurs 7-14 days after the insurance application. Before the exam, an office assistant calls the applicant and inquires if they have been in contact with a person with SARS-CoV-2, been ill within the last 2 weeks, felt sick, or recently had a fever. If the applicant answers yes, the exam is rescheduled. Before sample collection, the applicant reads and signs a consent form to release medical information and testing. Next, the examiner records the applicant's blood pressure, height, and weight. Then, a blood and a urine sample are collected and sent with the consent form to our laboratory via Federal Express. On April 25-26, 2022, we tested 2584 convenience samples from adult insurance applicants for the presence of antibodies to nucleocapsid and spike proteins from SARS-CoV-2. As a standard practice, we reported the client-specified test profile results to our life insurance carriers. In contrast, the COVID-19 test results were only available to the authors. Patient and Public Involvement.-There was no patient involvement in study design, reporting of results, or journal publication selection. There was patient consent to publish de-identified study results. No public involvement occurred in the creation or completion of the study. The authors thank the participants in this study for approving the use of their blood samples to further society's understanding of the SARS-CoV-19 pandemic. Ethics Review.-Western Institutional Review Board reviewed the study design and determined it to be exempt under the Common Rule and applicable guidance. Therefore, it is exempt under 45 CFR § 46.104(d)(4) from using de-identified study samples for epidemiologic investigation, WIRB Work Order #1-1324846-1. In addition, all test subjects had signed a consent allowing research of their blood and urine samples with the removal of personally identifiable information.</p><p><strong>Results: </strong>-The combined seroprevalence for antibodies to nucleocapsid, a marker of prior infection, and antibodies to spike protein, an indicator of either previous infection or vaccination, was 97.3%. ","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41112826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ChatGPT: How Closely Should We Be Watching?","authors":"Timothy Meagher","doi":"10.17849/insm-50-2-143-146.1","DOIUrl":"10.17849/insm-50-2-143-146.1","url":null,"abstract":"<p><p>ChatGPT is about to make major inroads into clinical medicine. This article discusses the pros and cons of its use.</p>","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolic Muddle. MASLD and MASH on the Horizon.","authors":"Timothy Meagher","doi":"10.17849/insm-50-2-147-149.1","DOIUrl":"10.17849/insm-50-2-147-149.1","url":null,"abstract":"<p><p>NAFLD (non-alcoholic fatty liver disease) and NASH (non-alcoholic steatohepatitis) are time-honored acronyms, with widely popular acceptance. Experts now recommend discarding them in favor of MASLD for \"metabolic dysfunction-associated steatotic liver disease\" and MASH for \"metabolic dysfunction-associated steatohepatitis.\" The reasons for this change are explored and an argument about why the change is confusing, is advanced. Should these acronyms become clinically popular, risk assessment manuals will require updates.</p>","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139742262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence of Antibodies to COVID-19 Due to Infection or Vaccination in US Adults.","authors":"Robert L Stout,&nbsp;Steven J Rigatti","doi":"10.17849/insm-50-01-02.1","DOIUrl":"https://doi.org/10.17849/insm-50-01-02.1","url":null,"abstract":"<p><strong>Objective: </strong>-Determine the seroprevalence of SARS-CoV-2 infection and vaccination in a population applying for life insurance.</p><p><strong>Setting: </strong>-This is a cross-sectional study of 2584 US life insurance applicants, to determine the seroprevalence of antibodies to COVID-19. This convenience sample was selected on two consecutive days April 25-26, 2022.</p><p><strong>Results: </strong>-For COVID-19, 97.3% are seropositive, and 63.9% have antibodies to nucleocapsid protein, a marker of prior infection. An additional, 33.7% have been vaccinated with no serologic evidence of infection.</p><p><strong>Methodology: </strong>-Serum and urine samples from a nationwide group of insurance applicants for routine risk assessment were collected. The examination of applicants typically occurs, in their homes, their place of employment, or a clinic. The paramedic exam occurs 7-14 days after the insurance application. Before the exam, an office assistant calls the applicant and inquires if they have been in contact with a person with SARS-CoV-2, been ill within the last 2 weeks, felt sick, or recently had a fever. If the applicant answers yes, the exam is rescheduled. Before sample collection, the applicant reads and signs a consent form to release medical information and testing. Next, the examiner records the applicant's blood pressure, height, and weight. Then, a blood and a urine sample are collected and sent with the consent form to our laboratory via Federal Express. On April 25-26, 2022, we tested 2584 convenience samples from adult insurance applicants for the presence of antibodies to nucleocapsid and spike proteins from SARS-CoV-2. As a standard practice, we reported the client-specified test profile results to our life insurance carriers. In contrast, the COVID-19 test results were only available to the authors. Patient and Public Involvement.-There was no patient involvement in study design, reporting of results, or journal publication selection. There was patient consent to publish de-identified study results. No public involvement occurred in the creation or completion of the study. The authors thank the participants in this study for approving the use of their blood samples to further society's understanding of the SARS-CoV-19 pandemic. Ethics Review.-Western Institutional Review Board reviewed the study design and determined it to be exempt under the Common Rule and applicable guidance. Therefore, it is exempt under 45 CFR § 46.104(d)(4) from using de-identified study samples for epidemiologic investigation, WIRB Work Order #1-1324846-1. In addition, all test subjects had signed a consent allowing research of their blood and urine samples with the removal of personally identifiable information.</p><p><strong>Results: </strong>-The combined seroprevalence for antibodies to nucleocapsid, a marker of prior infection, and antibodies to spike protein, an indicator of either previous infection or vaccination, was 97.3%. ","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9514633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long Covid - Into the Third Year.","authors":"Timothy Meagher","doi":"10.17849/insm-50-1-1-5.1","DOIUrl":"https://doi.org/10.17849/insm-50-1-1-5.1","url":null,"abstract":"<p><p>As the COVID-19 pandemic reaches the end of its third year, and as COVID-related mortality in North America wanes, long Covid and its disabling symptoms are attracting more attention. Some individuals report symptoms lasting more than 2 years, and a subset report continuing disability. This article will provide an update on long Covid, with a particular focus on disease prevalence, disability, symptom clustering and risk factors. It will also discuss the longer-term outlook for individuals with long Covid.</p>","PeriodicalId":39345,"journal":{"name":"Journal of insurance medicine (New York, N.Y.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9514636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}