Receipt of mammography recommendations among White and non-White women before and after the 2009 United States Preventive Services Task Force recommendation change.

PURPOSE: Receipt of a mammography recommendation from a physician is a strong predictor of obtaining a mammogram. In 2009, the United States Preventive Services Task Force (USPSTF) recommended routine biennial mammography for women aged 50-74 but not for women aged 40-49. We examined changes in reports of clinician recommendations for mammography among White and non-White women after these age-specific recommendations were issued. METHODS: Data from women aged 40-49 and 50-74 were drawn from the 2008 and 2013 National Health Interview Surveys. We used linear probability models to determine whether the proportions of women reporting a mammography recommendation changed after the USPSTF recommendation was issued and whether any changes observed differed across White and non-White women. All analyses were stratified by age groups and mammography history. RESULTS: Among women without a recent mammogram, reported clinician recommendations did not change for White women, but they decreased by 13-percentage points (95 % CI -0.22, -0.03) among non-White women aged 40-49 (p = 0.01) and increased by 9-percentage points (95 % CI 0.01, 0.17) among non-White women aged 50-74 (p = 0.04). Among women with a mammogram in the past 2 years, reported mammography recommendation from a clinician did not change for White or non-White women. CONCLUSIONS: Recommendations to reduce screening may be differentially implemented across racial/ethnic groups. Changes in reports of mammography recommendation from a clinician after the USPSTF breast cancer screening recommendation change were observed only among non-White women without a recent history of mammography. It is unclear whether these differences are due to the clinician, the women, or both.

Challenges in meeting Healthy People 2020 objectives for cancer-related preventive services, National Health Interview Survey, 2008 and 2010.

INTRODUCTION: Healthy People (HP) is the US program that formulates and tracks national health objectives for the nation. The National Health Interview Survey (NHIS) is a designated data source for setting and evaluating several HP targets in cancer. We used data from the 2008 and 2010 NHIS to provide a benchmark for national performance toward meeting HP 2020 cancer-related objectives. METHODS: HP 2020 cancer screening, provider counseling, and health care access objectives were selected. For each objective, NHIS measures for the overall population and several sociodemographic subgroups were calculated; the findings were compared with established HP 2020 targets. RESULTS: From 2008 to 2010, rates of breast and cervical cancer screening declined slightly while colorectal cancer screening rates increased by 7 percentage points. Rates of cancer screening and provider counseling were below HP targets. Meeting HP targets seems less likely for subgroups characterized by low income, no health insurance, or no usual source of care. Meeting HP targets for access to health services will require an increase of 18 percentage points in the proportion of persons under age 65 with health insurance coverage and an increase of 10 percentage points in the proportion aged 18 to 64 with a usual source of care. CONCLUSION: Whether HP objectives for cancer screening and health care access are met may depend on implementation of health care reform measures that improve access to and coordination of care. Better integration of clinical health care and community-based efforts for delivering high-quality screening and treatment services and elimination of health disparities are also needed.

Cancer and COVID-19: US cancer incidence rates during the first year of the pandemic.

BACKGROUND: The COVID-19 pandemic has had a profound global impact on health-care systems and patient outcomes. However, the specific effects of the pandemic on cancer incidence rates in the United States during its initial year remain unknown. METHODS: In this study, we analyzed data from the Surveillance, Epidemiology, and End Results-22 registries, which encompass approximately 50% of the US population. We investigated changes in monthly incidence rates stratified by various factors, including cancer type, stage, age group, sex, race and ethnicity, socioeconomic status, rural-urban status, and registry locations. We compared the incidence rates observed during the pandemic with those from the previous year. RESULTS: Our findings revealed a decline in incidence rates for all cancer sites combined starting in March 2020, coinciding with the implementation of stay-at-home orders. This decline reached its lowest point in April 2020 and persisted at a lower level until May 2020. Notably, compared with April 2019, the incidence rates in April 2020 dropped by 48.1% and did not consistently return to prepandemic levels. The reduction in cancer rates was more pronounced in urban and affluent counties. Across all cancer types, there was a statistically significant decrease in incidence rates during the pandemic, with the largest declines observed in thyroid (71.2%), prostate (57.9%), breast (54.9%), and colon and rectum cancers (54.1%). Furthermore, these decreases were primarily observed in early stage rather than late-stage disease. CONCLUSIONS: The COVID-19 pandemic had a statistically significant impact on cancer outcomes. Monitoring long-term consequences of the pandemic on cancer incidence, stage at diagnosis, and mortality trends will be crucial.

Risk of and duration of protection from SARS-CoV-2 reinfection assessed with real-world data.

This retrospective observational study aimed to gain a better understanding of the protective duration of prior SARS-CoV-2 infection against reinfection. The objectives were two-fold: to assess the durability of immunity to SARS-CoV-2 reinfection among initially unvaccinated individuals with previous SARS-CoV-2 infection, and to evaluate the crude SARS-CoV-2 reinfection rate and associated risk factors. During the pandemic era time period from February 29, 2020, through April 30, 2021, 144,678,382 individuals with SARS-CoV-2 molecular diagnostic or antibody test results were studied. Rates of reinfection among index-positive individuals were compared to rates of infection among index-negative individuals. Factors associated with reinfection were evaluated using multivariable logistic regression. For both objectives, the outcome was a subsequent positive molecular diagnostic test result. Consistent with prior findings, the risk of reinfection among index-positive individuals was 87% lower than the risk of infection among index-negative individuals. The duration of protection against reinfection was stable over the median 5 months and up to 1-year follow-up interval. Factors associated with an increased reinfection risk included older age, comorbid immunologic conditions, and living in congregate care settings; healthcare workers had a decreased reinfection risk. This large US population-based study suggests that infection induced immunity is durable for variants circulating pre-Delta predominance.

The Cancer Survival Query System: making survival estimates from the Surveillance, Epidemiology, and End Results program more timely and relevant for recently diagnosed patients.

BACKGROUND: Population-based cancer registries that include patient follow-up generally provide information regarding net survival (ie, survival associated with the risk of dying of cancer in the absence of competing risks). However, registry data also can be used to calculate survival from cancer in the presence of competing risks, which is more clinically relevant. METHODS: Statistical methods were developed to predict the risk of death from cancer and other causes, as well as natural life expectancy if the patient did not have cancer based on a profile of prognostic factors including characteristics of the cancer, demographic factors, and comorbid conditions. The Surveillance, Epidemiology, and End Results (SEER) Program database was used to calculate the risk of dying of cancer. Because the risks of dying of cancer versus other causes are assumed to be independent conditional on the prognostic factors, a wide variety of independent data sources can be used to calculate the risk of death from other causes. Herein, the risk of death from other causes was estimated using SEER and Medicare claims data, and was matched to the closest fitting portion of the US life table to obtain a "health status-adjusted age." RESULTS: A nomogram was developed for prostate cancer as part of a Web-based Cancer Survival Query System that is targeted for use by physicians and patients to obtain information on a patient's prognosis. More nomograms currently are being developed. CONCLUSIONS: Nomograms of this type can be used as one tool to assist cancer physicians and their patients to better understand their prognosis and to weigh alternative treatment and palliative strategies.

Duration of Protection Against SARS-CoV-2 Reinfection and Associated Risk of Reinfection Assessed with Real-World Data.

IMPORTANCE: Better understanding of the protective duration of prior SARS-CoV-2 infection against reinfection is needed. OBJECTIVE: Primary: To assess the durability of immunity to SARS-CoV-2 reinfection among initially unvaccinated individuals with previous SARS-CoV-2 infection. Secondary: Evaluate the crude SARS-CoV-2 reinfection rate and associated characteristics. DESIGN AND SETTING: Retrospective observational study of HealthVerity data among 144,678,382 individuals, during the pandemic era through April 2021. PARTICIPANTS: Individuals studied had SARS-CoV-2 molecular diagnostic or antibody index test results from February 29 through December 9, 2020, with ≥365 days of pre-index continuous closed medical enrollment, claims, or electronic health record activity. MAIN OUTCOMES AND MEASURES: Rates of reinfection among index-positive individuals were compared to rates of infection among index-negative individuals. Factors associated with reinfection were evaluated using multivariable logistic regression. For both objectives, the outcome was a subsequent positive molecular diagnostic test result. RESULTS: Among 22,786,982 individuals with index SARS-CoV-2 laboratory test data (2,023,341 index positive), the crude rate of reinfection during follow-up was significantly lower (9.89/1,000-person years) than that of primary infection (78.39/1,000 person years). Consistent with prior findings, the risk of reinfection among index-positive individuals was 87% lower than the risk of infection among index-negative individuals (hazard ratio, 0.13; 95% CI, 0.13, 0.13). The cumulative incidence of reinfection among index-positive individuals and infection among index-negative individuals was 0.85% (95% CI: 0.82%, 0.88%) and 6.2% (95% CI: 6.1%, 6.3%), respectively, over follow-up of 375 days. The duration of protection against reinfection was stable over the median 5 months and up to 1-year follow-up interval. Factors associated with an increased reinfection risk included older age, comorbid immunologic conditions, and living in congregate care settings; healthcare workers had a decreased reinfection risk. CONCLUSIONS AND RELEVANCE: This large US population-based study demonstrates that SARS-CoV-2 reinfection is uncommon among individuals with laboratory evidence of a previous infection. Protection from SARS-CoV-2 reinfection is stable up to one year. Reinfection risk was primarily associated with age 85+ years, comorbid immunologic conditions and living in congregate care settings; healthcare workers demonstrated a decreased reinfection risk. These findings suggest that infection induced immunity is durable for variants circulating prior to Delta. KEY POINTS: Question: How long does prior SARS-CoV-2 infection provide protection against SARS-CoV-2 reinfection?Finding: Among >22 million individuals tested February 2020 through April 2021, the relative risk of reinfection among those with prior infection was 87% lower than the risk of infection among individuals without prior infection. This protection was durable for up to a year. Factors associated with increased likelihood of reinfection included older age (85+ years), comorbid immunologic conditions, and living in congregate care settings; healthcare workers had lower risk.Meaning: Prior SARS-CoV-2 infection provides a durable, high relative degree of protection against reinfection.

Association of SARS-CoV-2 Seropositive Antibody Test With Risk of Future Infection.

Importance: Understanding the effect of serum antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on susceptibility to infection is important for identifying at-risk populations and could have implications for vaccine deployment. Objective: The study purpose was to evaluate evidence of SARS-CoV-2 infection based on diagnostic nucleic acid amplification test (NAAT) among patients with positive vs negative test results for antibodies in an observational descriptive cohort study of clinical laboratory and linked claims data. Design, Setting, and Participants: The study created cohorts from a deidentified data set composed of commercial laboratory tests, medical and pharmacy claims, electronic health records, and hospital chargemaster data. Patients were categorized as antibody-positive or antibody-negative according to their first SARS-CoV-2 antibody test in the database. Main Outcomes and Measures: Primary end points were post-index diagnostic NAAT results, with infection defined as a positive diagnostic test post-index, measured in 30-day intervals (0-30, 31-60, 61-90, >90 days). Additional measures included demographic, geographic, and clinical characteristics at the time of the index antibody test, including recorded signs and symptoms or prior evidence of coronavirus 2019 (COVID) diagnoses or positive NAAT results and recorded comorbidities. Results: The cohort included 3 257 478 unique patients with an index antibody test; 56% were female with a median (SD) age of 48 (20) years. Of these, 2 876 773 (88.3%) had a negative index antibody result, and 378 606 (11.6%) had a positive index antibody result. Patients with a negative antibody test result were older than those with a positive result (mean age 48 vs 44 years). Of index-positive patients, 18.4% converted to seronegative over the follow-up period. During the follow-up periods, the ratio (95% CI) of positive NAAT results among individuals who had a positive antibody test at index vs those with a negative antibody test at index was 2.85 (95% CI, 2.73-2.97) at 0 to 30 days, 0.67 (95% CI, 0.6-0.74) at 31 to 60 days, 0.29 (95% CI, 0.24-0.35) at 61 to 90 days, and 0.10 (95% CI, 0.05-0.19) at more than 90 days. Conclusions and Relevance: In this cohort study, patients with positive antibody test results were initially more likely to have positive NAAT results, consistent with prolonged RNA shedding, but became markedly less likely to have positive NAAT results over time, suggesting that seropositivity is associated with protection from infection. The duration of protection is unknown, and protection may wane over time.

Real-world data suggest antibody positivity to SARS-CoV-2 is associated with a decreased risk of future infection.

Importance There is limited evidence regarding whether the presence of serum antibodies to SARS-CoV-2 is associated with a decreased risk of future infection. Understanding susceptibility to infection and the role of immune memory is important for identifying at-risk populations and could have implications for vaccine deployment. Objective The purpose of this study was to evaluate subsequent evidence of SARS-CoV-2 infection based on diagnostic nucleic acid amplification test (NAAT) among individuals who are antibody-positive compared with those who are antibody-negative, using real-world data. Design This was an observational descriptive cohort study. Participants The study utilized a national sample to create cohorts from a de-identified dataset composed of commercial laboratory test results, open and closed medical and pharmacy claims, electronic health records, hospital billing (chargemaster) data, and payer enrollment files from the United States. Patients were indexed as antibody-positive or antibody-negative according to their first SARS-CoV-2 antibody test recorded in the database. Patients with more than 1 antibody test on the index date where results were discordant were excluded. Main Outcomes/Measures Primary endpoints were index antibody test results and post-index diagnostic NAAT results, with infection defined as a positive diagnostic test post-index, as measured in 30-day intervals (0-30, 31-60, 61-90, >90 days). Additional measures included demographic, geographic, and clinical characteristics at the time of the index antibody test, such as recorded signs and symptoms or prior evidence of COVID-19 (diagnoses or NAAT+) and recorded comorbidities. Results We included 3,257,478 unique patients with an index antibody test. Of these, 2,876,773 (88.3%) had a negative index antibody result, 378,606 (11.6%) had a positive index antibody result, and 2,099 (0.1%) had an inconclusive index antibody result. Patients with a negative antibody test were somewhat older at index than those with a positive result (mean of 48 versus 44 years). A fraction (18.4%) of individuals who were initially seropositive converted to seronegative over the follow up period. During the follow-up periods, the ratio (CI) of positive NAAT results among individuals who had a positive antibody test at index versus those with a negative antibody test at index was 2.85 (2.73 - 2.97) at 0-30 days, 0.67 (0.6 - 0.74) at 31-60 days, 0.29 (0.24 - 0.35) at 61-90 days), and 0.10 (0.05 - 0.19) at >90 days. Conclusions Patients who display positive antibody tests are initially more likely to have a positive NAAT, consistent with prolonged RNA shedding, but over time become markedly less likely to have a positive NAAT. This result suggests seropositivity using commercially available assays is associated with protection from infection. The duration of protection is unknown and may wane over time; this parameter will need to be addressed in a study with extended duration of follow up.

Reported Incidence and Survival of Fallopian Tube Carcinomas: A Population-Based Analysis From the North American Association of Central Cancer Registries.

Background: Recognition that serous tubal intraepithelial carcinoma (STIC) may represent the first manifestation of many high-grade cancers that were once considered ovarian primary tumors has led to changes in diagnostic practices that could dramatically increase the reporting of tubal carcinomas in US population-based cancer registries. Further, increased detection of early-stage tubal carcinomas through increased recognition coupled with meticulous pathology processing protocols raises important unanswered questions about the clinical behavior of such lesions, which can only be answered using large data sets. However, rates of tubal carcinomas have not been recently analyzed. Accordingly, we analyzed population-based incidence and survival data for fallopian tube carcinoma in situ (CIS; an imperfect surrogate of STIC), tubal carcinomas, and for comparison, ovarian carcinomas, in the North American Association of Central Cancer Registries (NAACCR) registries. Methods: Total counts, standardized incidence rates, and stage-specific survival were computed using 30 NAACCR registries (1999-2012). Temporal incidence rate patterns were analyzed by joinpoint regression with estimates of annual percentage change (APC). All statistical tests were two-sided. Results: Fallopian tube CIS incidence rates were stable from 1999 to 2002, then increased from 2002 to 2012 (APC = 16.2%, 95% confidence interval [CI] = 10.9% to 21.7%, P < .001). Rates of early- and late-stage tubal carcinomas showed similar patterns, whereas high-grade serous ovarian carcinoma rates were relatively stable. Five-year cause-specific survival was 97.9% (95% CI = 93.7% to 99.3%) for tubal CIS and 83.2% (95% CI = 77.3% to 87.7%) for early-stage high-grade serous tubal carcinoma. Conclusions: Reporting of tubal CIS and tubal carcinoma have increased in recent years, likely reflecting changes in pathology processing of specimens and diagnosis. Developing standardized reporting for tubal neoplasms is needed to enable analysis of outcomes for these comparatively uncommon but increasingly recognized tumors.

An Exploration of Changes in the Measurement of Mammography in the National Health Interview Survey.

Background: Using the National Health Interview Survey (NHIS), we examined the effect of question wording on estimates of past-year mammography among racially/ethnically diverse women ages 40-49 and 50-74 without a history of breast cancer.Methods: Data from one-part ("Have you had a mammogram during the past 12 months?") and two-part ("Have you ever had a mammogram"; "When did you have your most recent mammogram?") mammography history questions administered in the 2008, 2011, and 2013 NHIS were analyzed. χ2 tests provided estimates of changes in mammography when question wording was either the same (two-part question) or differed (two-part question followed by one-part question) in the two survey years compared. Crosstabulations and regression models assessed the type, extent, and correlates of inconsistent responses to the two questions in 2013.Results: Reports of past-year mammography were slightly higher in years when the one-part question was asked than when the two-part question was asked. Nearly 10% of women provided inconsistent responses to the two questions asked in 2013. Black women ages 50 to 74 [adjusted OR (aOR), 1.50; 95% confidence interval (CI), 1.16-1.93] and women ages 40-49 in poor health (aOR, 2.22; 95% CI, 1.09-4.52) had higher odds of inconsistent responses; women without a usual source of care had lower odds (40-49: aOR, 0.42; 95% CI, 0.21-0.85; 50-74: aOR, 0.42; 95% CI, 0.24-0.74).Conclusions: Self-reports of mammography are sensitive to question wording. Researchers should use equivalent questions that have been designed to minimize response biases such as telescoping and social desirability.Impact: Trend analyses relying on differently worded questions may be misleading and conceal disparities. Cancer Epidemiol Biomarkers Prev; 26(11); 1611-8. ©2017 AACR.

Influence of pre- and postdiagnosis physical activity on mortality in breast cancer survivors: the health, eating, activity, and lifestyle study.

PURPOSE: To investigate the association between pre- and postdiagnosis physical activity (as well as change in prediagnosis to postdiagnosis physical activity) and mortality among women with breast cancer. PATIENTS AND METHODS: This was a prospective observational study of 933 women enrolled onto the Health, Eating, Activity, and Lifestyle Study who were diagnosed with local or regional breast cancer between 1995 and 1998 and observed until death or September 2004, whichever came first. The primary outcomes measured were total deaths and breast cancer deaths. The primary exposures were physical activity in the year before and 2 years after diagnosis and the pre- to postdiagnosis change in physical activity. RESULTS: Compared with inactive women, the multivariable hazard ratios (HRs) for total deaths for women expending at least 9 metabolic equivalent hours per week (approximately 2 to 3 h/wk of brisk walking) were 0.69 (95% CI, 0.45 to 1.06; P = .045) for those active in the year before diagnosis and 0.33 (95% CI, 0.15 to 0.73; P = .046) for those active 2 years after diagnosis. Compared with women who were inactive both before and after diagnosis, women who increased physical activity after diagnosis had a 45% lower risk of death (HR = 0.55; 95% CI, 0.22 to 1.38), and women who decreased physical activity after diagnosis had a four-fold greater risk of death (HR = 3.95; 95% CI, 1.45 to 10.50). CONCLUSION: Moderate-intensity physical activity after a diagnosis of breast cancer may improve prognosis.