Impact of Comorbidities on Prostate Cancer Stage at Diagnosis in Florida

A spatial assessment of prostate cancer mortality-to-incidence ratios among South Carolina veterans: 1999-2015

PURPOSE

To assess veteran-specific prostate cancer (PrCA) mortality-to-incidence ratios (MIR) in South Carolina's (SC) veteran population.

METHODS

U.S. Veterans Health Administration electronic medical records from January 1999 to December 2015 identified 3,073 PrCA patients residing in 345 ZIP code tabulation areas (ZCTA) within SC. MIRs were calculated for all SC ZCTAs and by key patient- and neighborhood-level risk factors for PrCA. Comparisons between ZCTAs identified as part of a spatial cluster were compared with non-significant ZCTAs using t tests.

RESULTS

The MIR was 0.17 overall, ranging from a low of 0.15 among Black men to 0.20 among White men. Among metropolitan ZCTAs, the MIR was 0.18 compared to 0.16 in non-metropolitan ZCTAs. Two clusters of higher-than-expected MIRs were found in the Upstate region.

CONCLUSIONS

Identification of spatial clusters of higher- or lower-than-expected MIRs allows for further testing of possible explanatory factors, and the capacity to target resources and policies according to greatest need.

Comorbidity and stage at diagnosis among lung cancer patients in the US military health system

PURPOSE

We investigated the association between comorbidities and stage at diagnosis among NSCLC patients in the US Military Health System (MHS), which provides universal health care to its beneficiaries.

METHODS

The linked data from the Department of Defense's Central Cancer Registry (CCR) and the MHS Data Repository (MDR) were used. The study included 4768 patients with histologically confirmed primary NSCLC. Comorbid conditions were extracted from the MDR data. Comorbid conditions were those included in the Charlson Comorbidity Index (CCI) and were defined as a diagnosis during a 3-year time frame prior to the NSCLC diagnosis. Multivariable logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (95% CI) of late stage (stages III and IV) versus early stage (stages I and II) in relation to pre-existing comorbidities.

RESULTS

Compared to patients with no comorbidities, those with prior comorbidities tended to be less likely to have lung cancer diagnosed at late stage. When specific comorbidities were analyzed, decreased odds of being diagnosed at late stage were observed among those with chronic obstructive pulmonary disease (COPD) (adjusted OR 0.78, 95% CI 0.68 to 0.90). In contrast, patients with a congestive heart failure or a liver cirrhosis/chronic hepatitis had an increased likelihood of being diagnosed at late stage (adjusted OR 1.30, 95% CI 1.00 to 1.69 and adjusted OR 1.87, 95% CI 1.24 to 2.82, respectively).

CONCLUSIONS

Among NSCLC patients in an equal access health system, the likelihood of late stage at diagnosis differed by specific comorbid diseases.

Pain, fatigue and depression symptom cluster in survivors of prostate cancer

Purpose

Pain, fatigue and depression are common sequelae of a cancer diagnosis. The extent to which these occur together in prostate cancer survivors is unknown. We (i) investigated prevalence of the pain-fatigue-depression symptom cluster and (ii) identified factors associated with experiencing the symptom cluster among prostate cancer survivors.

Methods

Men in Ireland diagnosed with prostate cancer 2–18 years previously were identified from population-based cancer registries and sent postal questionnaires. Cancer-related pain and fatigue were measured using the EORTC QLQ-C30 and depression using the DASS-21. Cut-offs to define ‘caseness’ were pain ≥ 25, fatigue ≥ 39 and depression ≥ 10. Associations between survivor-related factors, clinical variables and specific prostate cancer physical symptoms and the symptom cluster were assessed using multivariate logistic regression.

Results

A total of 3348 men participated (response rate = 54%). Twenty-four percent had clinically significant pain, 19.7% had clinically significant fatigue, and 14.4% had depression; 7.3% had all three symptoms. In multivariate analysis, factors significantly associated with the symptom cluster were living in Northern Ireland, experiencing back pain at diagnosis and being affected by incontinence, loss of sexual desire, bowel problems, gynecomastia and hot flashes post-treatment. There was a strong association between the cluster and health-related quality of life.

Conclusions

The pain-fatigue-depression symptom cluster is present in 1 in 13 prostate cancer survivors. Physical after-effects of prostate cancer treatment are associated with this cluster. More attention should be paid to identifying and supporting survivors who experience multiple symptoms; this may help health-related quality of life improve among the growing population of prostate cancer survivors.

Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms

An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians' decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.

Geographical Variations in Prostate Cancer Outcomes: A Systematic Review of International Evidence

Background: Previous reviews of geographical disparities in the prostate cancer continuum from diagnosis to mortality have identified a consistent pattern of poorer outcomes with increasing residential disadvantage and for rural residents. However, there are no contemporary, systematic reviews summarizing the latest available evidence. Our objective was to systematically review the published international evidence for geographical variations in prostate cancer indicators by residential rurality and disadvantage.

Methods: Systematic searches of peer-reviewed articles in English published from 1/1/1998 to 30/06/2018 using PubMed, EMBASE, CINAHL, and Informit databases. Inclusion criteria were: population was adult prostate cancer patients; outcome measure was PSA testing, prostate cancer incidence, stage at diagnosis, access to and use of services, survival, and prostate cancer mortality with quantitative results by residential rurality and/or disadvantage. Studies were critically appraised using a modified Newcastle-Ottawa Scale.

Results: Overall 169 studies met the inclusion criteria. Around 50% were assessed as high quality and 50% moderate. Men from disadvantaged areas had consistently lower prostate-specific antigen (PSA) testing and prostate cancer incidence, poorer survival, more advanced disease and a trend toward higher mortality. Although less consistent, predominant patterns by rurality were lower PSA testing, prostate cancer incidence and survival, but higher stage disease and mortality among rural men. Both geographical measures were associated with variations in access and use of prostate cancer-related services for low to high risk disease.

Conclusions: This review found substantial evidence that prostate cancer indicators varied by residential location across diverse populations and geographies. While wide variations in study design limited comparisons across studies, our review indicated that internationally, men living in disadvantaged areas, and to a lesser extent more rural areas, face a greater prostate cancer burden. This review highlights the need for a better understanding of the complex social, environmental, and behavioral reasons for these variations, recognizing that, while important, geographical access is not the only issue. Implementing research strategies to help identify these processes and to better understand the central role of disadvantage to variations in health outcome are crucial to inform the development of evidence-based targeted interventions.

Contextual effects and cancer outcomes in the United States: a systematic review of characteristics in multilevel analyses

PURPOSE

There is increasing call for the utilization of multilevel modeling to explore the relationship between place-based contextual effects and cancer outcomes in the United States. To gain a better understanding of how contextual factors are being considered, we performed a systematic review.

METHODS

We reviewed studies published between January 1, 2002 and December 31, 2016 and assessed the following attributes: (1) contextual considerations such as geographic scale and contextual factors used; (2) methods used to quantify contextual factors; and (3) cancer type and outcomes. We searched PubMed, Scopus, and Web of Science and initially identified 1060 studies. One hundred twenty-two studies remained after exclusions.

RESULTS

Most studies utilized a two-level structure; census tracts were the most commonly used geographic scale. Socioeconomic factors, health care access, racial/ethnic factors, and rural-urban status were the most common contextual factors addressed in multilevel models. Breast and colorectal cancers were the most common cancer types, and screening and staging were the most common outcomes assessed in these studies.

CONCLUSIONS

Opportunities for future research include deriving contextual factors using more rigorous approaches, considering cross-classified structures and cross-level interactions, and using multilevel modeling to explore understudied cancers and outcomes.

Risk factors for metastatic prostate cancer: A sentinel event case series

BACKGROUND

Root cause analysis is a technique used to assess systems factors related to "sentinel events"-serious adverse events within healthcare systems. This technique is commonly used to identify factors, which allowed these adverse events to occur, to target areas for improvement and to improve health care delivery systems. We sought to apply this technique to men presenting with metastatic prostate cancer (PCa).

METHODS

We performed an in-depth case series analysis of 15 patients, who presented with metastatic disease at Johns Hopkins Sidney Kimmel Comprehensive Cancer Center using root cause analysis to refine a list of health system factors that lead to late stage presentation in the current era.

RESULTS

Key factors in late diagnosis of PCa included lack of insurance, lack of routine PSA testing, comorbidities, reticence of patients to follow up actionable PSA, and aggressive disease. Three patients had aggressive disease that would not have been discovered at an early stage in the disease process, despite routine screening. However, analysis of the remaining 12 patients illuminated health system factors led to missing important diagnostic information, which might have led to diagnosis of PCa at a curable stage.

CONCLUSIONS

The cases help highlight the need for systems based approaches to early diagnosis of PCa. A heterogeneous group of barriers to early diagnosis were identified in our series of patients including economic, health systems, and cultural factors. These findings underscore the need for individualized approaches to preventing delayed diagnosis of PCa. While limited by our single-institution scope, this approach provides a model for research and quality improvement initiatives to identify modifiable systems factors impeding appropriate diagnoses of PCa.

Association between Types of Chronic Conditions and Cancer Stage at Diagnosis among Elderly Medicare Beneficiaries with Prostate Cancer

The current retrospective observational study was conducted to examine the association between types of chronic conditions and cancer stage at diagnosis among elderly Medicare beneficiaries with prostate cancer using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database. The study cohort consisted of elderly men (≥66 years) with prostate cancer diagnosed between 2002 and 2009 (N = 103,820). Cancer stage at diagnosis (localized versus advanced) was derived using the American Joint Committee on Cancer classification. Chronic conditions were identified during the year before cancer diagnosis and classified as: (1) only cardiometabolic (CM); (2) only mental health (MH); (3) only respiratory (RESP); (4) CM + MH; (5) CM + RESP; (6) MH + RESP; (7) CM+ MH + RESP; and (8) none of the 3 types of conditions. Chi-square tests and multivariable logistic regressions were used to test the unadjusted and adjusted associations between types of chronic conditions and cancer stage at diagnosis. The highest percentage (5.8%) of advanced prostate cancer was observed among elderly men with none of the 3 types of chronic conditions (CM, RESP, MH). In the adjusted logistic regression, those with none of the 3 types of chronic conditions were 44% more likely to be diagnosed with advanced prostate cancer compared to men with all the 3 types of chronic conditions. Elderly men without any of the selected chronic conditions were more likely to be diagnosed with advanced prostate cancer; therefore, strategies to reduce the risk of advanced prostate cancer should be targeted toward elderly men without these conditions.