Search

Abstract Background Despite the large number of men diagnosed with localized prostate cancer, there is as yet no consensus concerning appropriate treatment. The purpose of this study was to describe the initial treatment patterns for localized prostate cancer in a population-based sample and to determine the clinical and patient characteristics associated with initial treatment and overall survival. Methods The analysis included 3,300 patients from seven states, diagnosed with clinically localized prostate cancer in 1997. We examined the association of sociodemographic and clinical characteristics with four treatment options: radical prostatectomy, radiation therapy, hormone therapy, and watchful waiting. Diagnostic and treatment information was abstracted from medical records. Socioeconomic measures were derived from the 2000 Census based on the patient's residence at time of diagnosis. Vital status through December 31, 2002, was obtained from medical records and linkages to state vital statistics files and the National Death Index. Multiple logistic regression analysis and Cox proportional hazards models identified factors associated with initial treatment and overall survival, respectively. Results Patients with clinically localized prostate cancer received the following treatments: radical prostatectomy (39.7%), radiation therapy (31.4%), hormone therapy (10.3%), or watchful waiting (18.6%). After multivariable adjustment, the following variables were associated with conservative treatment (hormone therapy or watchful waiting): older age, black race, being unmarried, having public insurance, having non-screen detected cancer, having normal digital rectal exam results, PSA values above 20, low Gleason score (2-4), comorbidity, and state of residence. Among patients receiving definitive treatment (radical prostatectomy or radiation therapy), older age, being unmarried, PSA values above 10, unknown Gleason score, state of residence, as well as black race in patients under 60 years of age, were associated with receipt of radiation therapy. Overall survival was related to younger age, being married, Gleason score under 8, radical prostatectomy, and state of residence. Comorbidity was only associated with risk of death within the first three years of diagnosis. Conclusions In the absence of clear-cut evidence favoring one treatment modality over another, it is important to understand the factors that inform treatment selection. Since state of residence was a significant predictor of both treatment as well as overall survival, true regional differences probably exist in how physicians and patients select treatment options. Factors affecting treatment choice and treatment effectiveness need to be further explored in future population-based studies.

Summary: Human immunodeficiency virus (HIV)‐infected people and solid organ transplant recipients have elevated risk of anaplastic large cell lymphoma (ALCL). Little is known regarding ALCL risk factors in immunosuppressed populations. We used data from US cancer registries linked to HIV registries (1996–2016) and to the national transplant registry (1992–2017). ALCL risk in HIV‐infected people and transplant recipients relative to the general population was calculated as a standardized incidence ratio (SIR). ALCL risk factors were evaluated using Poisson regression. We identified 121 incident ALCL cases in the HIV (n = 86) and transplant (n = 35) populations. We reviewed pathology reports for 45 cases and most (86·7%) were confirmed as ALCL. Epstein–Barr virus tested positive in 1/8 (12·5%) cases. Compared to the general population, ALCL risk was strongly elevated among HIV‐infected people [SIR 5·43; 95% confidence interval (CI) 4·27–6·81] and transplant recipients (5·96; 4·03–8·49). Among HIV‐infected people, ALCL incidence was strongly related to CD4 count [adjusted incidence rate ratio (aIRR) 0·15 for ≥500 vs. <200 cells/μl; P trend < 0·001]. Among transplant recipients, risk was highest within the first year (aIRR 6·82) and 10+ years post‐transplant (5·99). In conclusion, ALCL risk is strongly increased in these immunosuppressed populations but may be unrelated to EBV infection based on limited reports. [ABSTRACT FROM AUTHOR]

Background: Immunosuppressed solid organ transplant recipients (SOTRs) have elevated rates of certain rare cancers caused by viruses. Evaluating risk of rare cancers among SOTRs may provide etiological clues for additional cancers linked to poor immunity and viral infections.Methods: We performed a cohort study of 262 455 SOTRs (1987-2014) from the US SOTR registry linked to 17 population-based cancer registries. First cancers in SOTRs were categorized using an established classification scheme based on site and histology. Standardized incidence ratios (SIRs) compared risk in SOTRs with the general population. We used Poisson regression to calculate incidence rate ratios according to immune-related SOTR characteristics, including time since transplant (ie, duration of immunosuppression). All statistical tests were 2-sided.Results: We examined 694 distinct cancer subtypes, with 33 manifesting statistically significantly elevated SIRs (Bonferroni P < 7.2 × 10-5). All 33 are rare (incidence <6 per 100 000 person-years) and several have known viral etiology (eg, Merkel cell carcinoma: SIR = 24.7, 95% confidence interval [CI] = 20.8 to 29.1). Additional cancers that were increased include squamous cell carcinomas of the lip (SIR range = 18.3-19.8), eye and adnexa (SIR = 13.8, 95% CI = 7.9 to 22.3), salivary gland (SIR = 9.3, 95% CI = 6.1 to 13.5), and nasal cavity and sinuses (SIR = 4.5, 95% CI = 2.8 to 6.8); sebaceous adenocarcinoma (SIR = 34.3, 95% CI = 26.3 to 44.0); malignant fibrous histiocytoma (15.4); and subtypes of bladder, kidney, lung, and colon cancer (SIR range = 3.2-13.3). Incidence of several cancers increased over time since transplant (Ptrend < .05), including squamous cell carcinomas of the lip, salivary gland, and anogenital sites.Conclusions: SOTRs experience elevated rates of several rare cancers. Because some of these cancers exhibit aggressive behavior with poor outcomes, it is important to further characterize the role of immunity and the potential involvement of oncogenic viruses to improve prevention and treatment. [ABSTRACT FROM AUTHOR]

BACKGROUND: World Trade Center (WTC) rescue and recovery workers were exposed to a complex mix of pollutants and carcinogens. OBJECTIVE: The purpose of this investigation was to evaluate cancer incidence in responders during the first 7 years after 11 September 2001. METHODS: Cancers among 20,984 consented participants in the WTC Health Program were identified through linkage to state tumor registries in New York, New Jersey, Connecticut, and Pennsylvania. Standardized incidence ratios (SIRs) were calculated to compare cancers diagnosed in responders to predicted numbers for the general population. Multivariate regression models were used to estimate associations with degree of exposure. RESULTS: A total of 575 cancers were diagnosed in 552 individuals. Increases above registry-based expectations were noted for all cancer sites combined (SIR = 1.15; 95% CI: 1.06, 1.25), thyroid cancer (SIR = 2.39; 95% CI: 1.70, 3.27), prostate cancer (SIR = 1.21; 95% CI: 1.01, 1.44), combined hematopoietic and lymphoid cancers (SIR = 1.36; 95% CI: 1.07, 1.71), and soft tissue cancers (SIR = 2.26; 95% CI: 1.13, 4.05). When restricted to 302 cancers diagnosed > 6 months after enrollment, the SIR for all cancers decreased to 1.06 (95% CI: 0.94, 1.18), but thyroid and prostate cancer diagnoses remained greater than expected. All cancers combined were increased in very highly exposed responders and among those exposed to significant amounts of dust, compared with responders who reported lower levels of exposure. CONCLUSION: Estimates should be interpreted with caution given the short follow-up and long latency period for most cancers, the intensive medical surveillance of this cohort, and the small numbers of cancers at specific sites. However, our findings highlight the need for continued follow-up and surveillance of WTC responders. KEY WORDS: cancer, cancer incidence, cancer registry, epidemiology, September 11th, World Trade Center, WTC Health Program. Environ Health Perspect 121:699-704 (2013). http://dx.doi.org/10.1289/ehp.1205894 [Online 23 April 2013], Recent studies have documented the persistence of physical and mental health problems among rescue and recovery workers exposed to the World Trade Center (WTC) sites (Mauer et al. 2010; Skloot [...]

Evaluates the risk of cancer among women with AIDS in New York City. Comparison on the cancer experiences of AIDS-infected women with that of the general population of women; Calculation of standardized incidence ratios; Effects of anti-viral treatments and its association with cancer development among HIV-infected women.

Background: As the February 2022 Surveillance, Epidemiology, and End Results (SEER) Call for Data deadlines approached, the New York State Cancer Registry had received reports for approximately 10% fewer consolidated incident cases for 2020 than expected. We used claims data to examine changes in the volume of cancer claim records during the COVID-19 pandemic and possible contributors to the deficit in cancer reports., Methods: The New York State (NYS) Statewide Planning and Research Cooperative System (SPARCS) requires reporting of all patient encounters from licensed ambulatory surgery, emergency department, and hospital inpatient and outpatient providers. Each record includes patient demographics and up to 17 diagnosis codes from the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). For this project, we extracted 6,725,416 SPARCS records with any malignant neoplasm code for 2018 through June 2021 for NYS residents. Using SAS 9.4, we focused on comparing the cancer-related records for 2020 to the records from 2019., Results: Overall, there were 5% more cancer-related records in 2019 than in 2018 (2,009,600 vs 1,914,364), but 8.2% fewer records in 2020 (1,844,054 total) than in 2019. Looking by month and year, the number of claims in the first 2 months of 2020 exceeded the numbers from 2019 by 5%. However, a decrease in the number of claims started in March 2020, with the biggest drop in April 2020, where there was a deficit of 38.8% for cancer-related encounter reports relative to the same month the previous year. Although the numbers rose after April, the number of claims for the last half of 2020 was still 4% lower than the same time frame in 2019. There were substantial decreases in the number of records in 2020 for all encounter types and across levels of each covariate examined, including age, sex, race/ethnicity, and facility region of NYS. In analyses of all reporting facilities, facilities in New York City had a more pronounced and more prolonged drop in reporting in 2020 than facilities in the rest of the state., Conclusion: Although SPARCS data do not provide definitive evidence of decreases in incident cancer diagnoses, these data suggest that there were fewer cancers diagnosed among NYS residents in 2020. Additional analyses are needed to assess the impacts of COVID-19-related delays in cancer diagnosis and treatment on stage at diagnosis and outcomes., (© 2022 National Cancer Registrars Association.)

Background: Individuals with a history of cancer may be more susceptible to severe COVID-19 due to immunosuppression, comorbidities, or ongoing treatment. We linked inpatient claims data on COVID-19 hospitalizations to cancer diagnoses from the New York State Cancer Registry (NYSCR) to examine associations between prior cancer diagnoses and hospitalizations for COVID-19, and factors associated with death at discharge after COVID-19 hospitalization., Methods: New York State (NYS) residents diagnosed with invasive cancer before July 1, 2021, who were alive on January 1, 2020, were identified from NYSCR data. We obtained claims data for discharge year 2020 and the first half of 2021 from NYS's Statewide Planning and Research Cooperative System (SPARCS), and we linked inpatient records with COVID-19 as the primary diagnosis to cancer data from the NYSCR using deterministic matching methods. We calculated descriptive statistics and conducted multivariable-adjusted logistic regression analyses to examine associations of cancer case characteristics with COVID-19 hospitalization and with vital status at discharge among patients with a history of cancer. All analyses were conducted in SAS 9.4., Results: Our analysis included 1,257,377 individuals with a history of cancer, 10,210 of whom had a subsequent primary COVID-19 hospitalization. Individuals with a history of cancer were 16% more likely to be hospitalized with COVID-19, compared to the general population of NYS, after adjusting for age and sex (95% CI, 14%-19%). Factors independently associated with COVID-19 hospitalization among cancer patients included older age, male sex, non-Hispanic Black race or Hispanic ethnicity, diagnosis with late-stage cancer or with multiple tumors, more recent cancer diagnosis, and New York City (NYC) residency at the time of cancer diagnosis. Factors independently associated with death at discharge among individuals with COVID-19 hospitalization and a prior cancer diagnosis included older age, male sex, non-Hispanic Black or non-Hispanic Asian/Pacific Islander race or Hispanic ethnicity, residence in NYC at the time of COVID-19 hospitalization, and an active cancer diagnosis claim code at the time of COVID-19 hospitalization., Conclusion: This claims-based study identified higher risks of COVID-19 hospitalization and death at discharge among individuals with a history of cancer, and particularly those in certain demographic and diagnostic groups., (© 2022 National Cancer Registrars Association.)

Background: Multiple dates of diagnosis are often received from different reporting sources at a central cancer registry. Resolving these inconsistencies can be a labor-intensive task. To our knowledge, no algorithms for the consolidation of diagnosis dates have been published. We present such an algorithm here., Methods: The algorithm uses a "take the best" heuristic approach, incorporating the reported dates of diagnosis, class of case, service type (a New York-specific item similar to type of reporting source), and the date of first contact. The algorithm was evaluated by comparing results to those obtained with manual review by experienced certified tumor registrars (CTRs)., Results: From a sample of 209,907 tumors with multiple diagnosis dates reported to the New York State Cancer Registry (NYSCR), the algorithm determined a single date for 94.7 percent of these, with the balance designated for manual review. Of a sample of 636 tumors that were manually reviewed to evaluate the algorithm, the algorithm obtained the same year as the CTRs for 621 tumors (97.6 percent), the same month and year for 572 tumors (89.9 percent) and the same month, year, and day for 518 tumors (81.4 percent). There was much lower agreement between the manually derived dates and the originally consolidated dates., Conclusion: The algorithm presented here is accurate, efficient, and reliable, and hopefully will help the cancer registry community move toward standard practices for record consolidation.

This case study describes a patient who presented with vague visual complaints in the right eye, decreased visual acuity in the affected eye, and a difficult initial eye evaluation, including fundoscopic and slit lamp examinations, in the emergency department (ED). The preliminary finding included a darkened-appearing area of the retina on fundoscopic exam. The patient subsequently had bedside sonography of the eyes done by an emergency medicine (EM) intern which revealed a thin and serpentine strip appearing as a hyperechoic representation of the retina floating freely into the vitreous from the superior-lateral section of the posterior globe.