Assessment of Modifiable Factors for the Association of Marital Status With Cancer-Specific Survival

Investigating the role of county-level colorectal cancer screening rates on stage at diagnosis of colorectal cancer in rural Georgia

BACKGROUND

To examine the impact of county-level colorectal cancer (CRC) screening rates on stage at diagnosis of CRC and identify factors associated with stage at diagnosis across different levels of screening rates in rural Georgia.

METHODS

We performed a retrospective analysis utilizing data from 2004 to 2010 Surveillance, Epidemiology, and End Results Program. The 2013 United States Department of Agriculture rural-urban continuum codes were used to identify rural Georgia counties. The 2004-2010 National Cancer Institute small area estimates for screening behaviors were applied to link county-level CRC screening rates. Descriptive statistics and multinominal logistic regressions were performed.

RESULTS

Among 4,839 CRC patients, most patients diagnosed with localized CRC lived in low screening areas; however, many diagnosed with regionalized and distant CRC lived in high screening areas (p-value = 0.009). In multivariable analysis, rural patients living in high screening areas were 1.2-fold more likely to be diagnosed at a regionalized and distant stage of CRC (both p-value < 0.05). When examining the factors associated with stage at presentation, Black patients who lived in low screening areas were 36% more likely to be diagnosed with distant diseases compared to White patients (95% CI, 1.08-1.71). Among those living in high screening areas, patients with right-sided CRC were 38% more likely to have regionalized disease (95% CI, 1.09-1.74).

CONCLUSION

Patients living in high screening areas were more likely to have a later stage of CRC in rural Georgia.

IMPACT

Allocating CRC screening/treatment resources and improving CRC risk awareness should be prioritized for rural patients in Georgia.

Development and validation of competing risk nomograms for predicting cancer‑specific mortality in non-metastatic patients with non‑muscle invasive urothelial bladder cancer

We aimed to assess the cumulative incidences of cancer-specific mortality (CSM) in non-metastatic patients with non‑muscle invasive urothelial bladder cancer (NMIUBC) and establish competing risk nomograms to predict CSM. Patient data was sourced from the Surveillance, Epidemiology, and End Results database, as well as the electronic medical record system in our institution to form the external validation cohort. Sub-distribution proportional hazards model was utilized to determine independent risk factors influencing CSM in non-metastatic NMIUBC patients. Competitive risk nomograms were constructed to predict 3-year, 5-year, and 8-year cancer-specific survival (CSS) in all patients group, TURBT group and cystectomy group, respectively. The discrimination and accuracy of the model were validated through the concordance index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration curves. Decision curve analysis (DCA) and a risk stratification system was employed to evaluate the clinical utility of the model. Race, age, marital status, surgery in other sites, tumor size, histological type, histological grade, T stage and N stage were identified as independent risk factors to predict CSS in all patients group. The C-index for 3-year CSS was 0.771, 0.770 and 0.846 in the training, testing and external validation sets, respectively. The ROC curves showed well discrimination and the calibration plots were well fitted and consistent. Moreover, DCA demonstrated well clinical effectiveness. Altogether, the competing risk nomogram displayed excellent discrimination and accuracy for predicting CSS in non-metastatic NMIUBC patients, which can be applied in clinical practice to help tailor treatment plans and make clinical decisions.

Marital status impacts survival of stage I non-small-cell lung cancer: a propensity-score matching analysis

Aim: This population-based analysis aimed to explore the associations among marital status, prognosis and treatment of stage I non-small-cell lung cancer. Materials & methods: The propensity score matching (PSM), logistic regression and Cox proportional hazards model were used in this study. Results: A total of 13,937 patients were included. After PSM, 10579 patients were co-insured. The married were more likely to receive surgical treatment compared with the unmarried patients (OR: 1.841, p < 0.001), and patients who underwent surgery also tended to have better survival (HR: 0.293, p < 0.001). Conclusion: Compared with unmarried patients, a married group with stage I NSCLC had timely treatment and more satisfactory survival. This study highlights the importance of prompt help and care for unmarried patients.

Nomogram-Based Risk Stratification to Identify Patients with T3N0M0 Breast Cancer with Survival Benefit from Postmastectomy Radiotherapy

BACKGROUND

The survival benefit of postmastectomy radiotherapy (PMRT) for patients with T3N0M0 breast cancer remains controversial. This study aimed to identify patients with a survival benefit from PMRT by developing a novel risk stratification model.

PATIENTS AND METHODS

The study recruited 2062 patients with pT3N0M0 breast cancer from the Surveillance, Epidemiology, and End Results (SEER) database who underwent mastectomy between 2010 and 2019. Overall survival (OS) and breast-cancer-specific survival (BCSS) prognostic nomograms based on multivariate Cox regression were constructed to quantify the survival risk and classify patients into low- and high-risk groups. Subgroup analyses were undertaken to assess the role of PMRT according to age and risk stratification.

RESULTS

In the overall cohort, PMRT was beneficial in improving OS in patients with pT3N0 breast cancer (5-year OS, non-PMRT versus PMRT: 76.6% vs. 84.2%, P < 0.001), while the benefit on BCSS was not significant (P = 0.084). On the basis of the risk stratification nomogram, in the high-risk group, PMRT improved OS in young patients by 10.1%, OS in elderly patients by 12.4%, and BCSS by 10.2% (P < 0.05), but the use of PMRT in the low-risk group did not improve OS and BCSS in all patients (P > 0.05).

CONCLUSIONS

We presented a new method for quantifying risk using the nomogram to identify patients with high risk of pT3N0M0 breast cancer. This study found that older patients in the newly constructed high-risk group benefited from OS and BCSS benefits from PMRT, while for younger high-risk patients, there was only a benefit in terms of OS.

The impact of marital status on tumor aggressiveness, treatment, and screening among black and white men diagnosed with prostate cancer

PURPOSE

To examine the association of marital status with prostate cancer outcomes in a racially-diverse cohort.

METHODS

The study population consisted of men (1010 Black; 1070 White) with incident prostate cancer from the baseline North Carolina-Louisiana Prostate Cancer (PCaP) cohort. Marital status at time of diagnosis and screening history were determined by self-report. The binary measure of marital status was defined as married (including living as married) vs. not married (never married, divorced/separated, or widowed). High-aggressive tumors were defined using a composite measure of PSA, Gleason Score, and stage. Definitive treatment was defined as receipt of radical prostatectomy or radiation. Multivariable logistic regression was used to examine the association of marital status with (1) high-aggressive tumors, (2) receipt of definitive treatment, and (3) screening history among Black and White men with prostate cancer.

RESULTS

Black men were less likely to be married than White men (68.1% vs. 83.6%). Not being married (vs. married) was associated with increased odds of high-aggressive tumors in the overall study population (adjusted Odds Ratio (aOR): 1.56; 95% Confidence Interval (CI): 1.20-2.02) and both Black and White men in race-stratified analyses. Unmarried men were less likely to receive definitive treatment in the overall study population (aOR: 0.68; 95% CI: 0.54-0.85). In race-stratified analyses, unmarried Black men were less likely to receive definitive treatment. Both unmarried Black and White men were less likely to have a history of prostate cancer screening than married men.

CONCLUSION

Lower rates of marriage among Black men might signal decreased support for treatment decision-making, symptom management, and caregiver support which could potentially contribute to prostate cancer disparities.

Gender differences in all-cause and cardiovascular mortality among US adults: from NHANES 2005-2018

Background

Gender disparities in mortality have drawn great interest, with previous studies identifying various biological, social, and behavioral factors contributing to the observed gender differences. This study aims to identify the sources of gender disparities in mortality rates and quantify the extent to which these factors mediate the gender differences in all-cause mortality.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2018 were analyzed. A total of 38,924 participants were included in the study. Gender information, socioeconomic status, lifestyle factors, and baseline disease status were obtained through questionnaires. Blood samples were collected to assess serological indicators. All-cause and cardiovascular mortality were considered as primary and secondary outcomes, respectively.

Results

The study with an average age of 50.1 ± 17.9 years. Among the participants, 50.7% were women, and 41.8% were non-Hispanic White. The median follow-up length was 87 months [Inter-Quartile Range (IQR): 47-128]. Men showed higher rates of all-cause and cardiovascular mortality compared to women in both the general population and the population with cardiovascular disease. After adjustment for potential confounders (age, race, marital status, socioeconomic status, lifestyle level, smoking status, cardiovascular disease, hypertension, diabetes and cancer), the men: women hazard ratios (HRs) for all-cause and cardiovascular mortality were 1.58 [95% Confidence Interval (CI): 1.48-1.68] and 1.60 (95%CI:1.43-1.80) in the general population. Among individuals with cardiovascular disease, the fully adjusted HR for all-cause mortality was 1.34 (95% CI: 1.20 to 1.51), and for cardiovascular mortality, the fully adjusted HRs was 1.52 (95% CI: 1.26 to 1.83). Mediation analysis revealed that uric acid levels significantly mediated the association between gender and all-cause mortality, accounting for 17.53% (95% CI: 11.0% to 23.7%) in the general population and 27.47% (95% CI: 9.0% to 13.6%) in the population with cardiovascular disease.

Conclusions

The study highlights the complex interplay of biological and social factors contributing to gender disparities in mortality. Uric acid was identified as key mediators of the gender-mortality association. These findings can inform targeted interventions aimed at reducing gender disparities in mortality and promoting better public health outcomes.

Racial disparities in staging, treatment, and mortality in non-small cell lung cancer

Background

Black race is associated with advanced stage at diagnosis and increased mortality in non-small cell lung cancer (NSCLC). Most studies focus on race alone, without accounting for social determinants of health (SDOH). We explored the hypothesis that racial disparities in stage at diagnosis and outcomes are associated with SDOH and influence treatment decisions by patients and providers.

Methods

Patients with NSCLC newly diagnosed at Indiana University Simon Comprehensive Cancer Center (IUSCCC) from January 1, 2000 to May 31, 2015 were studied. Multivariable regression analyses were conducted to examine the impact of SDOH (race, gender, insurance status, and marital status) on diagnosis stage, time to treatment, receipt of and reasons for not receiving guideline concordant treatment, and 5-year overall survival (OS) based on Kaplan-Meier curves.

Results

A total of 3,349 subjects were included in the study, 12.2% of Black race. Those diagnosed with advanced-stage NSCLC had a significantly higher odds of being male, uninsured, and Black. Five-year OS was lower in those of Black race, male, single, uninsured, Medicare/Medicaid insurance, and advanced stage. Adjusted for multiple variables, individuals with Medicare, Medicare/Medicaid, uninsured, widowed, and advanced stage at diagnosis, were associated with significantly lower OS time. Black, single, widowed, and uninsured individuals were less likely to receive stage appropriate treatment for advanced disease. Those uninsured [odds ratio (OR): 3.876, P<0.001], Medicaid insurance (OR: 3.039, P=0.0017), and of Black race (OR: 1.779, P=0.0377) were less likely to receive curative-intent surgery for early-stage NSCLC because it was not a recommended treatment.

Conclusions

We found racial, gender, and socioeconomic disparities in NSCLC diagnosis stage, receipt of stage-appropriate treatment, and reasons for guideline discordance in receipt of curative intent surgery for early-stage NSCLC. While insurance type and marital status were associated with worse OS, race alone was not. This suggests racial differences in outcomes may not be associated with race alone, but rather worse SDOH disproportionately affecting Black individuals. Efforts to understand advanced diagnosis and reasons for failure to receive stage-appropriate treatment by vulnerable populations is needed to ensure equitable NSCLC care.

Prognostic factors for competing risk in patients with AIDS-related Kaposi's sarcoma: A SEER population-based study

OBJECTIVES

Despite the improved survival of patients with AIDS and Kaposi's sarcoma (KS), competing events are a non-negligible issue affecting the survival of such patients. In this study, we explored the prognostic factors of KS-specific and non-KS-specific mortality in patients with AIDS-related KS (AIDS-KS), accounting for competing risk.

METHODS

We identified 17 103 patients with AIDS-KS aged 18-65 years between 1980 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) 18 registry database. Prognostic factors for KS-specific and non-KS-specific mortality were determined by the Fine and Grey proportional subdistribution hazard model. We built competing risk nomograms and assessed their predictive performance based on the identified prognostic factors.

RESULTS

In total, 12 943 (75.68%) patients died, 1965 (15.50%) of whom died from competing events. The KS-specific mortality rate was 14 835 per 100 000 person-years, and the non-KS specific mortality rate was 2719 per 100 000 person-years. Specifically, age >44 years was associated with an 11% decrease in the subdistribution hazard of KS-specific mortality compared with age <43 years but a 50% increase in the subdistribution hazard of non-KS-specific mortality. Being male was associated with a 26% increase in the subdistribution hazard of KS-specific mortality compared with being female but a 32% decrease in the subdistribution hazard of non-KS-specific mortality. Notably, being in the antiretroviral therapy (ART) era consistently showed a decrease in the subdistribution hazard of both KS-specific and non-KS-specific mortality than being in the pre-ART era.

CONCLUSIONS

Competing events commonly occurred among patients with AIDS-KS, which deserves further attention to improve the prognosis of these patients.

Development and validation of a nomogram for predicting overall survival in patients with early-onset endometrial cancer

BACKGROUND

This study aimed to investigate the differences in the clinicopathological characteristics of younger and older patients with endometrial cancer (EC) and develop a nomogram to assess the prognosis of early onset EC in terms of overall survival.

METHODS

Patients diagnosed with EC from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015 were selected. Clinicopathological characteristics were compared between younger and older patients, and survival analysis was performed for both groups. Prognostic factors affecting overall survival in young patients with EC were identified using Cox regression. A nomogram was created and internal validation was performed using the consistency index, decision curve analysis, receiver operating characteristic curves, and calibration curves. External validation used data from 70 patients with early onset EC. Finally, Kaplan-Meier curves were plotted to compare survival outcomes across the risk subgroups.

RESULTS

A total of 1042 young patients and 12,991 older patients were included in this study. Younger patients were divided into training (732) and validation (310) cohorts in a 7:3 ratio. Cox regression analysis identified age, tumorsize, grade, FIGO stage(International Federation of Gynecology and Obstetrics) and surgery as independent risk factors for overall survival, and a nomogram was constructed based on these factors. Internal and external validations demonstrated the good predictive power of the nomogram. In particular, the C-index for the overall survival nomogram was 0.832 [95% confidence interval (0.797-0.844)] in the training cohort and 0.839 (0.810-0.868) in the internal validation cohort. The differences in the Kaplan-Meier curves between the different risk subgroups were statistically significant.

CONCLUSIONS

In this study, a nomogram for predicting overall survival of patients with early onset endometrial cancer based on the SEER database was developed to help assess the prognosis of patients and guide clinical treatment.

The association between marital status and treatment initiation in lung cancer: A systematic review and meta-analysis of observational studies

Lung cancer is associated with high mortality, and significant health burden. Marital status has been associated with lung cancer survival. This systematic review and meta-analysis set out to investigate the association between marital status and treatment receipt in lung cancer. The search was conducted across three databases: Medline (OVID), Embase and CINAHL, from inception to June 2022. Retrospective or prospective observational studies that quantified treatment receipt by marital status were eligible for inclusion. Study quality was assessed via a modified checklist for retrospective databased-based studies. Meta-analysis using a random effects model was undertaken by chemotherapy, radiotherapy, surgery, and any treatment relative to married or not married. Pooled unadjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated for each type of treatment. 837 papers were screened and 18 met the inclusion criteria with eight being eligible for inclusion in the meta-analysis. Studies were excluded from meta-analysis due to overlap in the data reported in papers; the mean quality score of the 18 included papers was 12/17. Being married was associated with increased odds of overall treatment OR 1.43 (95 % CI 1.14-1.79; I2 = 82 %; Tau2 = 0.07; six studies) and also increased receipt of: chemotherapy 1.40 (95 % CI 1.35-1.44; I2 = 82 %; Tau2 = 0.00); radiotherapy 1.29 (95 % CI 0.96-1.75; I2 = 100 %; Tau2= 0.09; four studies) and surgery (95 % CI 1.31-1.52; I2 = 86 %; Tau2 = 0.00; five studies). The results indicate that those who are married are more likely to receive treatment for lung cancer compared to those who are not married. This requires further investigation to better understand the explanations behind this finding and how we can work to combat this inequality.

Building Data Infrastructure for Disease-Focused Health Economics Research

BACKGROUND

Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research.

OBJECTIVES

To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012-2017.

RESEARCH DESIGN, PARTICIPANTS, AND MEASURES

This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis.

RESULTS

The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans.

CONCLUSIONS

Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance.

Two web-based dynamically interactive nomograms and risk stratification systems for predicting survival outcomes and guiding treatment in non-metastatic nasopharyngeal carcinoma

BACKGROUND

A nomogram is a valuable and easily accessible tool for individualizing cancer prognosis. This study aims to establish and validate two prognostic nomograms for long-term overall survival (OS) and cancer-specific survival (CSS) in non-metastatic nasopharyngeal carcinoma (NPC) patients and to investigate the treatment options for the nomogram-based risk stratification subgroups.

METHODS

A total of 3959 patients with non-metastatic NPC between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The patients were randomly allocated to the training and validation cohorts in a 7:3 ratio. Prognostic nomograms were constructed to estimate OS and CSS by integrating significant variables from multivariate Cox regression employing a backward stepwise method. We examined the correlation indices (C-index) and areas under the curves (AUC) of time-dependent receiver operating characteristic curves to assess the discriminative ability of our survival models. The comprehensive enhancements of predictive performance were evaluated with net reclassification operating improvement (NRI) and integrated discrimination improvement (IDI). Reliability was validated using calibration plots. Decision curve analysis (DCA) was used to estimate clinical efficacy and capability. Finally, the nomogram-based risk stratification system used Kaplan-Meier survival analysis and log-rank tests to examine differences between subgroups.

RESULTS

The following independent parameters were significant predictors for OS: sex, age, race, marital status, histological type, median household income, AJCC stage tumor size, and lymph node size. Except for the race variables mentioned above, the rest were independent prognostic factors for CSS. The C-index, AUC, NRI, and IDI indicated satisfactory discriminating properties. The calibration curves exhibited high concordance with the exact outcomes. Moreover, the DCA demonstrated performed well for net benefits. The prognosis significantly differed between low- and high-risk patients (p < 0.001). In a treatment-based stratified survival analysis in risk-stratified subgroups, chemotherapy benefited patients in the high-risk group compared to radiotherapy alone. Radiotherapy only was recommended in the low-risk group.

CONCLUSIONS

Our nomograms have satisfactory performance and have been validated. It can assist clinicians in prognosis assessment and individualized treatment of non-metastatic NPC patients.

Competing risk analysis of cardiovascular-specific mortality in typical carcinoid neoplasms of the lung: A SEER database analysis

Cardiovascular mortality (CVM) is a growing concern for cancer survivors. This study aimed to investigate the mortality patterns of individuals with typical carcinoid (TC) tumors, identify independent predictors of CVM, and compare these risk variables with those associated with TC deaths. The Surveillance, Epidemiology, and End Results (SEER) database from 2000 to 2019 was utilized for obtaining data on patients with TC. Standardized mortality rates were employed to evaluate the risk of CVM while multivariate competing risk models were used to determine the association between patient characteristics and the probability of CVM or TC-related deaths. Our findings show that TC patients had an increased risk of CVM, with an standardized mortality rates of 1.12 (95% CI:1.01-1.25). Furthermore, we discovered that age at diagnosis, marital status, year of diagnosis, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed independently to the risk of CVM in patients with TC, whereas age at diagnosis, sex, race, SEER stage, site, year of diagnosis, surgery, radiotherapy, and chemotherapy all contributed significantly to TC mortality. Compared to the general population in the United States, patients with TC are significantly more likely to acquire CVM. Timely introduction of cardioprotective treatments is critical for preventing CVM in patients with TC.

Association between greenspace and cancer: evidence from a systematic review and meta-analysis of multiple large cohort studies

Cancer is a chronic disease that seriously endangers human health, and studies on its association with greenspace have been published. We aimed to systematically review the epidemiological evidence and obtain the best available evidence. PubMed, Web of Science, Embase, and Cochrane Library were used as search databases, the time limit was September 12, 2022, and the cited articles were manually supplemented. Two researchers independently performed literature screening and data extraction. We performed a meta-analysis of data using a normalized difference vegetation index (NDVI) as the greenspace measure, providing hazard ratio (HR) and corresponding 95% CI. After standardization of the data, we used a random effects model for pooling. We also assessed the risk of bias for each study and the quality of each evidence body. We identified 10,108 items and included 14 studies from 11 institutions in eight countries. All studies had a low risk of bias. Quantitative analysis of 13 studies found a beneficial association of greenspace with the mortality of lung cancer (pooled HR [95% CI]=0.965 [0.947, 0.983]) and prostate cancer (HR [95% CI]=0.939 [0.898, 0.980]) based on 0.1-unit NDVI increment and a potential beneficial association with the incidence of prostate, lung, and breast cancer. Greenspace had opposite associations with cancer mortality for urban and rural populations. Indirect comparisons did not find statistically significant differences in the effects of greenspace on different cancer outcomes. The evidence body assessment was considered to be "very low." This review indicated potential beneficial associations between greenspace for lung, prostate, and breast cancer outcomes. However, there was a lack of mediation analysis to explore the underlying mechanism of a causal association. Meanwhile, the interstudy heterogeneity was large. Therefore, future studies should consider more accurate exposure assessment and more comprehensive covariate coverage, while focusing on mediating analysis. PROSPERO: CRD42022361068.

The Neurobiology of Love and Pair Bonding from Human and Animal Perspectives

Love is a powerful emotional experience that is rooted in ancient neurobiological processes shared with other species that pair bond. Considerable insights have been gained into the neural mechanisms driving the evolutionary antecedents of love by studies in animal models of pair bonding, particularly in monogamous species such as prairie voles (Microtus ochrogaster). Here, we provide an overview of the roles of oxytocin, dopamine, and vasopressin in regulating neural circuits responsible for generating bonds in animals and humans alike. We begin with the evolutionary origins of bonding in mother-infant relationships and then examine the neurobiological underpinnings of each stage of bonding. Oxytocin and dopamine interact to link the neural representation of partner stimuli with the social reward of courtship and mating to create a nurturing bond between individuals. Vasopressin facilitates mate-guarding behaviors, potentially related to the human experience of jealousy. We further discuss the psychological and physiological stress following partner separation and their adaptive function, as well as evidence of the positive health outcomes associated with being pair-bonded based on both animal and human studies.

Surveillance of prognostic risk factors in patients with SCCB using artificial intelligence: a retrospective study

Small cell carcinoma of the bladder (SCCB) is a rare urological tumor. The prognosis of SCCB is abysmal. Therefore, this study aimed to construct nomograms that predict overall survival (OS) and cancer-specific survival (CSS) in SCCB patients. Information on patients diagnosed with SCCB during 2004-2018 was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression models analyzed Independent risk factors affecting patients' OS and CSS. Nomograms predicting the OS and CSS were constructed based on the multivariate Cox regression model results. The calibration curve verified the accuracy and reliability of the nomograms, the concordance index (C-index), and the area under the curve (AUC). Decision curve analysis (DCA) assessed the potential clinical value. 975 patients were included in the training set (N = 687) and the validation set (N = 288). Multivariate COX regression models showed that age, marital status, AJCC stage, T stage, M stage, surgical approach, chemotherapy, tumor size, and lung metastasis were independent risk factors affecting the patients' OS. However, distant lymph node metastasis instead AJCC stage is the independent risk factor affecting the CSS in the patients. We successfully constructed nomograms that predict the OS and CSS for SCCB patients. The C index of the training set and the validation set of the OS were 0.747 (95% CI 0.725-0.769) and 0.765 (95% CI 0.736-0.794), respectively. The C index of the CSS were 0.749 (95% CI 0.710-0.773) and 0.786 (95% CI 0.755-0.817), respectively, indicating that the predictive models of the nomograms have excellent discriminative power. The calibration curve and the AUC also show good accuracy and discrimination of the nomograms. To sum up, We established nomograms to predict the OS and CSS of SCCB patients. The nomograms have undergone internal cross-validation and show good accuracy and reliability. The DCA shows that the nomograms have an excellent clinical value that can help doctors make clinical-assisted decision-making.

Marital status and perceived stress in men with advanced prostate cancer: A randomized-controlled trial of cognitive behavioral stress management

OBJECTIVE

Relationship status predicts numerous outcomes among medical populations. Few interventions evaluate the role of marital status on response to psychosocial treatment, and no such studies exist within advanced prostate cancer (APC). This study examined whether marital status modified the effect of a cognitive behavioral stress management (CBSM) intervention on perceived stress.

METHODS

Men with APC (N = 190) were randomized to 10-week CBSM or a health promotion (HP) intervention (#NCT03149185). The Perceived Stress Scale assessed perceived stress at baseline and 12-month follow-up. Medical status and sociodemographics were captured at enrollment.

RESULTS

Participants were mostly White (59.5%), non-Hispanic (97.4%), heterosexual (97.4%) men, 66.8% of whom were partnered. Neither condition nor marital status predicted perceived stress change at follow-up. However, a significant interaction was found between condition and marital status (p = 0.014; Cohen's f = 0.07), such that partnered men who received CBSM and unpartnered men who received HP reported greater reductions in perceived stress.

CONCLUSION

This is the first study to assess the impact of marital status on psychosocial intervention effects among men with APC. Partnered men derived greater benefit from a cognitive-behavioral intervention and unpartnered men equally benefitted from a HP intervention. Further research is necessary to understand the mechanisms underlying these relationships.

Establishment and validation of a prognostic nomogram for patients with early-onset stage I–II colon cancer

Background

The aims of this study were to establish and validate a nomogram model for predicting the survival of patients with early-onset stage I–II colon cancer (CC).

Methods

Data of eligible patients enrolled from 2012 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly allocated to training and validation groups in a 7:3 ratio. Significant prognostic factors were identified by univariate and multivariate analysis and a nomogram model constructed. The predictive performance of the nomogram was evaluated by the concordance index (C-index), calibration plots, and decision curve analysis.

Results

Our study cohort comprised 3528 early-onset CC patients with stage I–II disease, 2469 of whom were allocated to the training cohort and 1059 to the validation cohort. Race, age, marital status, tumor grade, tumor size, tumor stage (T stage), and chemotherapy were considered the significant predictor by univariate analysis. Race, marital status, and T stage were found to be independent prognostic factors by multivariate analysis. The C-indexes of the nomogram were 0.724 and 0.692 in the training and validation cohorts, respectively. Likewise, the calibration plots showed good agreement regarding the probability of 3- and 5-year observed and nomogram-predicted overall survival in the training group. Decision curve analysis showed that the nomogram model was clinically practical and effective. Moreover, applying the nomogram enabled dividing of the patients into two cohorts with different risk scores. The low-risk group thus created had a better survival than the high-risk group.

Conclusions

We developed and validated a meaningful prognostic nomogram model for patients with early-onset stage I–II CC that clinicians can use to make better decisions for individual patients.

Effect of transoral laser microsurgery vs open partial laryngectomy on the prognosis of patients with early laryngeal carcinoma: propensity score-based analysis

OBJECTIVE

To evaluate the effect of surgical procedures (transoral laser microsurgery (TLM) and open partial laryngectomy (OPL)) on the prognosis of patients with early laryngeal cancer.

METHODS

A total of 760 patients diagnosed with early laryngeal cancer (T1-2N0M0) and treated with TLM (n = 416) or OPL (n = 344) between 2004 and 2015 were abstracted from the SEER database. Propensity score matching (PSM) and stabilized inverse probability of treatment weighting (SIPTW) were performed to obtain comparable cohorts. The survival rates were estimated by the Kaplan-Meier method, and compared using the log-rank test. Univariate and multivariate Cox regression analyses with a false discovery rate (FDR) correction were applied to contrast the association between two surgical approaches and overall survival (OS) and disease-specific survival (DSS).

RESULTS

The 5-year OS for the TLM group was 79.5% versus 77.7% for the OPL group (P = 0.619). Similar results were revealed for the comparison of 5-year DSS rates (91.1% versus 91.5%, P = 0.891). After PSM and SIPTW balance the confounding factors, no significant difference was observed in the OS and DSS of patients treated with TLM compared to patients treated with OPL. The consistent results were still yielded (all P > 0.05), when stratified by gender, age, year of diagnosis, residence, household income, tumor site, T stage, differentiation, and adjuvant therapy.

CONCLUSION

This study provides strong evidence that there is no significant difference in the prognosis of early laryngeal carcinoma between the treatment of TLM and OPL, which may be helpful to guide the clinical decision-making of these patients.

Timely Curative Treatment and Overall Mortality Among Veterans With Stage I NSCLC

Introduction

Early stage lung cancer (LC) outcomes depend on the receipt of timely therapy. We aimed to determine the proportions of Veterans with stage I NSCLC in the age group eligible for LC screening (LCS) receiving timely curative treatment (≤12 wk after diagnosis), the factors associated with timely treatment and modality, and the factors associated with overall mortality.

Methods

Retrospective cohort study in Veterans aged 55 to 80 years when diagnosed with stage I NSCLC during 2011 to 2015. We used multivariate logistic regression models to determine factors associated with receiving timely therapy and receiving surgery versus stereotactic body radiation therapy (SBRT). We used multivariate Cox proportional hazards regression analysis to determine factors associated with overall mortality.

Results

We identified 4796 Veterans with stage I NSCLC; the cohort was predominantly older, White males, current or former smokers, and living in urban areas. Overall, 84% underwent surgery and 16% underwent SBRT. The median time to treatment was 63 days (61 d for surgery; 71 d for SBRT), with 30% treated more than 12 weeks. Unmarried Veterans with higher social deprivation index were less likely to receive timely therapy. Black race, female sex, and never smoking were associated with lower overall mortality. Older Veterans receiving treatment >12 wk, with higher comorbidity index, and squamous cell carcinoma had higher overall mortality.

Conclusions

A total of 30% of the Veterans with stage I NSCLC in the age group eligible for LCS received curative treatment more than 12 weeks after diagnosis, which was associated with higher overall mortality. Delays in LC treatment could decrease the mortality benefits of LCS among the Veterans.

Race and outcomes after percutaneous coronary intervention: Insights from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium

BACKGROUND

Current studies show similar in-hospital outcomes following percutaneous coronary intervention (PCI) between Black and White patients. Long-term outcomes and the role of individual and community-level socioeconomic factors in differential risk are less understood.

METHODS

We linked clinical registry data from PCIs performed between January, 2013 and March, 2018 at 48 Michigan hospitals to Medicare Fee-for-service claims. We analyzed patients of Black and White race. We used propensity score matching and logistic regression models to estimate the odds of 90-day readmission and Cox regression to evaluate the risk of postdischarge mortality. We used mediation analysis to evaluate the proportion of association mediated by socioeconomic factors.

RESULTS

Of the 29,317 patients included in this study, 10.28% were Black and 89.72% were White. There were minimal differences between groups regarding post-PCI in-hospital outcomes. Compared with White patients, Black patients were more likely to be readmitted within 90-days of discharge (adjusted OR 1.62, 95% CI [1.32-2.00]) and had significantly higher risk of all-cause mortality (adjusted HR 1.45, 95% CI 1.30-1.61) when adjusting for age and gender. These associations were significantly mediated by dual eligibility (proportion mediated [PM] for readmission: 11.0%; mortality: 21.1%); dual eligibility and economic well-being of the patient's community (PM for readmission: 22.3%; mortality: 43.0%); and dual eligibility, economic well-being of the community, and baseline clinical characteristics (PM for readmission: 45.0%; mortality: 87.8%).

CONCLUSIONS

Black patients had a higher risk of 90-day readmission and cumulative mortality following PCI compared with White patients. Associations were mediated by dual eligibility, community economic well-being, and traditional cardiovascular risk factors. Our study highlights the need for improved upstream care and streamlined postdischarge care pathways as potential strategies to improve health care disparities in cardiovascular disease.

Web-Based Dynamic Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Breast Cancer Patients with Lung Metastases

BACKGROUND

60-70% of patients who die from breast cancer have lung metastases. However, there is a lack of readily available tools for accurate risk stratification in patients with breast cancer lung metastases (BCLM). Therefore, a web-based dynamic nomogram was developed for BCLM to quickly, accurately, and intuitively assess overall and cancer-specific survival rates.

METHODS

Patients diagnosed with BCLM between 2004 and 2016 were extracted from the Surveillance, Epidemiology, and Final Results (SEER) database. After excluding incomplete data, all patients were randomly assigned to training and validation cohorts (2:1). Patients' basic clinical information, detailed pathological staging and treatment information, and sociological information were included in further analysis. Nomograms were constructed following the evaluations of the Cox regression model and verified using the concordance index (C-index), calibration curves, time-dependent receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Web-based dynamic nomograms were published online.

RESULTS

3916 breast cancer patients with lung metastases were identified from the SEER database. Based on multivariate Cox regression analysis, overall survival (OS) and cancer-specific survival (CSS) are significantly correlated with 13 variables: age, marital status, race, grade, T stage, surgery, chemotherapy, bone metastatic, brain metastatic, liver metastatic, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2). These are included in the construction of the nomogram of OS and CSS. The time-dependent receiver operating characteristic curve, decision curve analysis, consistency index, and calibration curve prove the distinct advantages of the nomogram.

CONCLUSIONS

Our web-based dynamic nomogram effectively integrates patient molecular subtype and sociodemographic characteristics with clinical characteristics and guidance and can be easily used. ER-Negative should receive attention in diagnosing and treating BCLM.

Development and Validation of a Prognostic Nomogram for Lung Adenocarcinoma: A Population-Based Study

PURPOSE

To establish an effective and accurate prognostic nomogram for lung adenocarcinoma (LUAD). Patients and Methods. 62,355 LUAD patients from 1975 to 2016 enrolled in the Surveillance, Epidemiology, and End Results (SEER) database were randomly and equally divided into the training cohort (n = 31,179) and the validation cohort (n = 31,176). Univariate and multivariate Cox regression analyses screened the predictive effects of each variable on survival. The concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC) were used to examine and validate the predictive accuracy of the nomogram. Kaplan-Meier curves were used to estimate overall survival (OS).

RESULTS

10 prognostic factors associated with OS were identified, including age, sex, race, marital status, American Joint Committee on Cancer (AJCC) TNM stage, tumor size, grade, and primary site. A nomogram was established based on these results. C-indexes of the nomogram model reached 0.777 (95% confidence interval (CI), 0.773 to 0.781) and 0.779 (95% CI, 0.775 to 0.783) in the training and validation cohorts, respectively. The calibration curves were well-fitted for both cohorts. The AUC for the 3- and 5-year OS presented great prognostic accuracy in the training cohort (AUC = 0.832 and 0.827, respectively) and validation cohort (AUC = 0.835 and 0.828, respectively). The Kaplan-Meier curves presented significant differences in OS among the groups.

CONCLUSION

The nomogram allows accurate and comprehensive prognostic prediction for patients with LUAD.

Epidemiology and prognostic analysis of patients with pancreatic signet ring cell carcinoma: a population-based study

Background

Pancreatic signet ring cell carcinoma (PSRCC) is a rare tumour subtype with poorly understood epidemiological characteristics and prognosis. We attempted to comprehensively characterise the epidemiology and survival outcomes of PSRCC.

Methods

Patients diagnosed with PSRCC between 2000 and 2018 were identified using Surveillance, Epidemiology and End Results Stat 8.3.9.2 software. Age-adjusted incidence and survival were calculated. Survival curves were plotted using the Kaplan–Meier method, and the differences between survival curves were compared using the log-rank test. Cox proportional hazards models were used to evaluate factors that independently predict overall survival. The primary analysis was a complete case analysis; multiple imputations were employed in a sensitivity analysis.

Results

We identified 585 eligible patients with PSRCC. The overall annual incidence from 2000 to 2018 was 0.349 (95% CI, 0.321–0.379) per million population. The incidence increased significantly in patients over 55 years of age and peaked at about 80 years of age (2.12 per million). Males and Black patients had the highest incidence. The observed survival rates at 1, 2 and 5 years were 20.1, 8.3 and 3.4%, respectively. Survival analysis revealed that primary surgery and chemotherapy are effective treatments for patients with PSRCC (P < 0.05). According to multivariate Cox regression analysis, early stage and receiving surgery and chemotherapy were favourable factors (P < 0.05). Similar conclusions were drawn from the interpolated data.

Conclusions

PSRCC is a highly malignant tumour that predominates in elderly, male and Black patients. The prognosis is poor with a 5-year survival rate of 3.4%; however, multivariate analysis and adjusted models accounting for missing data revealed that early diagnosis, surgery and chemotherapy are effective in improving the prognosis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12876-022-02543-z.

Influence of marital status on the treatment and survival of middle-aged and elderly patients with primary bone cancer

Objective

The role of spousal support has been recognized to benefit patients with many chronic diseases and cancers. However, the impact of marital status on the survival of middle-aged and elderly patients with primary bone tumors remains elusive.

Materials and methods

The data of patients aged ≥ 45 years with primary bone tumors diagnosed between 2000 and 2018 were extracted from the Surveillance, Epidemiology, and End Results Database. Kaplan–Meier analysis was used to assess the overall survival and tumor-specific survival of patients. The Cox proportional hazards and Fine-and-Gray models were used to calculate the hazard ratios (HRs) and sub-distribution HRs (sHR) and the corresponding 95% confidence interval (CI) of all-cause mortality and tumor-specific mortality, respectively.

Results

A total of 5,640 primary bone tumors were included in the study. In 45–59 years cohort, married, unmarried, divorced and widowed accounted for 66.0, 21.0, 11.2, and 1.8%, respectively; while 64.3, 10.1, 8.8, and 16.8% in 60+ years cohort, respectively. The widowed patients had a lower proportion of early-stage tumors at diagnosis than that married, unmarried, and divorced patients (31.0% vs. 36% vs. 37.1% vs. 39.4%; P = 0.008), and had a higher proportion of patients who did not undergo surgery than that of married, unmarried, and divorced patients (38.6% vs. 21.3% vs. 24.6% vs. 24.4%; P &lt; 0.001). The widowed population had an increased risk of all-cause mortality (HR, 1.68; 95% CI, 1.50–1.88; P &lt; 0.001) and disease-related mortality (HR, 1.33; 95% CI, 1.09–1.61; P = 0.005) compared with the married population.

Conclusion

The marital status of middle-aged and elderly people can affect the tumor stage at diagnosis, treatment, and survival prognosis of patients with primary bone cancer. Widowed patients are more inclined to choose non-surgical treatment and have the worst prognosis.

Geographic Proximity of Family Members and Healthcare Utilization After Complex Surgical Procedures

OBJECTIVE

We sought to determine the relationship between a patient's proximal familial social support, defined as the geographic proximity of family members, and healthcare utilization after complex cardiovascular and oncologic procedures.

BACKGROUND

Social support mechanisms are increasingly identified as modifiable risk factors for healthcare utilization.

METHODS

We performed a retrospective cohort study of 60,895 patients undergoing complex cardiovascular procedures or oncologic procedures. We defined healthcare utilization outcomes as 30-day all-cause readmission unplanned readmission, nonindex hospital readmission, index hospital length of stay, and home discharge disposition. For each patient, we aggregated the number of first-degree relatives (FDR) living within 30 miles of the patient's home address at the time of the surgical procedure into the following categories: 0 to 1, 2 to 3, 4 to 5, 6+ FDRs. We developed hierarchical multivariable regression models to determine the relationship between the number of FDR living within 30 miles of the patient and the healthcare utilization outcomes.

RESULTS

Compared with patients with 0 to 1 FDRs, patients with 6+ FDRs living in close proximity had significantly lower rates of all-cause readmission (12.1% vs 13.5%, P <0.001), unplanned readmission (10.9% vs 12.0%, P =0.001), nonindex readmission (2.6% vs 3.2%, P =0.003); higher rates of home discharge (88.0% vs 85.3%, P <0.001); and shorter length of stay (7.3 vs 7.5 days, P =0.02). After multivariable adjustment, a larger number of FDRs living within 30 miles of the patient was significantly associated with a lower likelihood of all-cause readmission ( P <0.001 for trend), 30-day unplanned readmission ( P <0.001), nonindex readmission ( P <0.001); higher likelihood of home discharge ( P <0.001); and shorter index length of stay ( P <0.001).

CONCLUSIONS

The geographic proximity of family members is significantly associated with decreased healthcare utilization after complex cardiovascular and oncologic surgical procedures.

Contribution of insurance status to the association between marital status and cancer-specific survival: a mediation analysis

OBJECTIVES

To evaluate the extent to which marriage influences cancer-specific survival (CSS) by influencing the insurance status among patients with common solid cancers and the feasibility of reducing the survival gap caused by marriage by increasing private insurance coverage for unmarried patients.

SETTING

A retrospective cohort study with patients retrieved from the Surveillance, Epidemiology and End Results programme.

PARTICIPANTS

Patients with nine common solid cancers diagnosed between 2007 and 2016 were included. Patients were excluded if their marital status, insurance status, socioeconomical status, stage or cause of death was unavailable, if survival time was less than 1 month, or if they were younger than 18 years at the time of diagnosis.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was CSS, which was compared between married and unmarried individuals. Mediation analyses were conducted to determine the contribution of insurance status to the association between marriage and CSS.

RESULTS

Married patients had better CSS than those unmarried (time ratio 1.778; 95% CI 1.758 to 1.797). Private health insurance was a key factor mediating the association between marital status and CSS (proportion mediated (PM), 17%; 95% CI 17% to 17.1%). The PM ranges from 10.7% in prostate cancer to 20% in kidney cancer. The contribution of private insurance to the association between marital status and CSS was greater among women than among men (PM 18.5% vs 16.7%). The mediating effect of private insurance was the greatest for the comparison between married and separated individuals (PM 25.6%; 95% CI 25.3% to 25.8%) and smallest for the comparison between married and widowed individuals (PM 11.0%; 95% CI 10.9% to 11.1%).

CONCLUSIONS

17% of the marital disparities in CSS are mediated by private insurance coverage. Increasing private insurance coverage for unmarried patients may reduce the survival gap related to marital status and sex. However, it is unclear whether better publicly funded insurance would have the same effect.

Impact of Marital Status on Prognosis of Patients With Invasive Breast Cancer: A Population-Based Study Using SEER Database

Objective

This study aimed to investigate the prognostic roles of marital status in patients with invasive breast cancer. Method: We extracted the data of patients with invasive breast cancer who were diagnosed during 2010–2015 and had complete staging and molecular typing from the Surveillance, Epidemiology, and End Results (SEER)-18 database. Kaplan–Meier curve method and Cox regression analysis were performed to investigate the differences in breast cancer–specific survival (BCSS) and overall survival (OS) in the total population and various subgroups with different marital statuses.

Results

Among the 324,062 patients with breast cancer in this study, 55.0%, 40.0%, and 5.0% were married, unmarried, and unknown, respectively; 51.8%, 32.2%, 10.5%, and 5.5% were patients with Stages I, II, III, and IV breast cancer, respectively. The 5-year BCSS and OS of married patients were 92.6% and 88.1%, respectively, higher than those of unmarried patients (88.3% and 78.1%, P < 0.001). After adjustment for sex, age, T and N stages, histological grade, insurance status, race, year of diagnosis, and molecular subtypes, married status was an independent predictor of better BCSS [hazard ratio (HR) = 0.775, 95% confidence interval (CI) = 0.753–0.797, P < 0.001) and OS (HR = 0.667, 95% CI = 0.653–0.681, P < 0.001). After multivariate analysis of various subgroups of sex, age, stage, histological grade, insurance status, race, and molecular subtype, married status was an independent predictor of better BCSS in all subgroups except for Grade IV, age < 35 years, and uninsured subgroups. Marital status was an independent predictor of better OS in all subgroups except the subgroup with age <35 years.

Conclusions

In conclusion, marital status was an independent prognostic factor for breast cancer. The unmarried patients with breast cancer had a worse prognosis, except for the subgroup with age <35 years. Hence, unmarried patients with breast cancer and age ≥35 years may need additional psychosocial and emotional support to achieve more prolonged survival, besides active treatment of primary disease.

A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer: A Population-Based Study

Objective

Prostate cancer (PC) is the second leading cause of cancer death in men in the United States after lung cancer in global incidence. Elderly male patients over 65 years old account for more than 60% of PC patients, and the impact of surgical treatment on the prognosis of PC patients is controversial. Moreover, there are currently no predictive models that can predict the prognosis of elderly PC patients undergoing surgical treatment. Therefore, we aimed to construct a new nomogram to predict cancer-specific survival (CSS) in elderly PC patients undergoing surgical treatment.

Methods

Data for surgically treated PC patients aged 65 years and older were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression models were used to identify independent risk factors for elderly PC patients undergoing surgical treatment. A nomogram of elderly PC patients undergoing surgical treatment was developed based on the multivariate Cox regression model. The consistency index (C-index), the area under the subject operating characteristic curve (AUC), and the calibration curve were used to test the accuracy and discrimination of the predictive model. Decision curve analysis (DCA) was used to examine the potential clinical value of this model.

Results

A total of 44,975 elderly PC patients undergoing surgery in 2010–2018 were randomly assigned to the training set (N = 31705) and validation set (N = 13270). the training set was used for nomogram development and the validation set was used for internal validation. Univariate and multivariate Cox regression model analysis showed that age, marriage, TNM stage, surgical style, chemotherapy, radiotherapy, Gleason score(GS), and prostate-specific antigen(PSA) were independent risk factors for CSS in elderly PC patients undergoing surgical treatment. The C index of the training set and validation indices are 0.911(95%CI: 0.899–0.923) and 0.913(95%CI: 0.893–0.933), respectively, indicating that the nomogram has a good discrimination ability. The AUC and the calibration curves also show good accuracy and discriminability.

Conclusions

To our knowledge, our nomogram is the first predictive model for elderly PC patients undergoing surgical treatment, filling the gap in current predictive models for this PC patient population. Our data comes from the SEER database, which is trustworthy and reliable. Moreover, our model has been internally validated in the validation set using the C-index,AUC and the and the calibration curve, showed that the model have good accuracy and reliability, which can help clinicians and patients make better clinical decision-making. Moreover, the DCA results show that our nomogram has a better potential clinical application value than the TNM staging system.

Lifestyle and sociodemographic factors associated with treatment choice of clinically localized prostate cancer in an equal access healthcare system

Sociodemographic and lifestyle factors may play a role in determining whether patients with clinically localized prostate cancer (PC) are managed with active surveillance (AS), radical prostatectomy (RP), or radiation therapy (RT); however, these relationships have not been well examined. In a cross-sectional study conducted within an equal access healthcare system, multivariable adjusted regression analysis revealed that living with a spouse or partner was associated with a 65% lower chance of being managed by RT (P = 0.001) and 57% lower risk of being managed by AS (P = 0.042) compared with RP. No other sociodemographic or lifestyle factors were independently associated with treatment modality.

Palliative non-small cell lung cancer treatment and end-of-life care stratified by sex and childlessness: an important interplay in unmarried patients?

PURPOSE

To analyze the interplay of sex and presence of children in unmarried patients with non-small cell lung cancer, because previous studies suggested sex-related disparities. Adult children may participate in treatment decisions and provision of social support or home care.

METHODS

Retrospective single-institution analysis of 186 unmarried deceased patients, managed according to national guidelines outside of clinical trials. Due to the absence of other oncology care providers in the region and the availability of electronic health records, all aspects of longitudinal care were captured.

RESULTS

Eighty-eight female and 98 male patients were included, the majority of whom had children. Comparable proportions in all four strata did not receive active therapy. Involvement of the palliative care team was similar, too. Patients without children were more likely to receive systemic therapy (39% utilization in women with children, 67% in women without children, 41% in men with children, 52% in men without children; p = 0.05). During the last 3 months of life, female patients spent significantly more days in hospital than their male counterparts. Place of death was not significantly different. Home death was equally uncommon in each group. In the multivariate analysis, survival was associated with age and cancer stage, in contrast to sex and presence of children.

CONCLUSION

In contrast to studies from other healthcare systems, unmarried male patients were managed in a largely similar fashion to their female counterparts and with similar survival outcome. Unexpectedly, patients without children more often received systemic anti-cancer treatment.

Factors associated with colorectal cancer screening intent and uptake among adult Non-Hispanic Black men

Non-Hispanic (NH) Black men in the United States have the lowest five-year colorectal cancer (CRC) survival rate across all racial/ethnic and sex subgroups and are less likely than their NH White counterparts to complete CRC screening. We hypothesized that greater masculinity barriers to medical care (MBMC) would be negatively associated with CRC screening uptake. Employing a survey design, we examined the MBMC scale and other psychosocial factors influencing CRC screening intent and uptake in a sample of 319 NH Black men aged 45 to 75 years residing in Minnesota, Ohio, and Utah. A series of ordinary least squares and logistic regression models were run with intention and uptake as the outcome variable while controlling for various demographic characteristics. Independent variables in all models included average score on the MBMC; CRC screening knowledge, beliefs and values; and barriers to and social support for CRC screening. Social support, marital status, and age were positively associated with CRC screening intention. Increased CRC screening knowledge and older age were associated with a greater likelihood of completing a stool-based screening test for CRC. Fewer masculinity-related and CRC screening barriers were associated with a greater likelihood of undergoing a sigmoidoscopy or colonoscopy. Contrary to our primary hypothesis, lesser MBMC-related perceptions were associated with increased CRC screening uptake among NH Black men. Our findings inform future CRC promotion programs and emphasize the need for multilevel interventions tailored toward this marginalized population to reduce disparities in screening and survival.

Harnessing the healing power of love

A recent paper by Naderi et al. published in eLife shows that pair bonding in monogamous mice is protective against tumor growth, likely via changes in serum factors and cancer cell transcription. We propose that studying the pathway linking social stimuli to cancer cell gene regulation offers a means to identify novel pharmacological targets.