Epidemiology and outcomes of previously undiagnosed diabetes in older women with breast cancer: an observational cohort study based on SEER-Medicare

Association between COPD and Stage of Lung Cancer Diagnosis: A Population-Based Study

Chronic obstructive pulmonary disease (COPD) is associated with an increased risk of lung cancer; however, the association between COPD and stage of lung cancer diagnosis is unclear. We conducted a population-based cross-sectional analysis of lung cancer patients (2008-2020) in Ontario, Canada. Using estimated propensity scores and inverse probability weighting, logistic regression models were developed to assess the association between COPD and lung cancer stage at diagnosis (early: I/II, advanced: III/IV), accounting for prior chest imaging. We further examined associations in subgroups with previously diagnosed and undiagnosed COPD. Over half (55%) of all lung cancer patients in Ontario had coexisting COPD (previously diagnosed: 45%, undiagnosed at time of cancer diagnosis: 10%). Compared to people without COPD, people with COPD had 30% lower odds of being diagnosed with lung cancer in the advanced stages (OR = 0.70, 95% CI: 0.68 to 0.72). Prior chest imaging only slightly attenuated this association (OR = 0.77, 95% CI: 0.75 to 0.80). The association with lower odds of advanced-stage diagnosis remained, regardless of whether COPD was previously diagnosed (OR = 0.68, 95% CI: 0.66 to 0.70) or undiagnosed (OR = 0.77, 95% CI: 0.73 to 0.82). Although most lung cancers are detected in the advanced stages, underlying COPD was associated with early-stage detection. Lung cancer diagnostics may benefit from enhanced partnership with COPD healthcare providers.

The prognostic outcome of 'type 2 diabetes mellitus and breast cancer' association pivots on hypoxia-hyperglycemia axis

Type 2 diabetes mellitus and breast cancer are complex, chronic, heterogeneous, and multi-factorial diseases; with common risk factors including but not limited to diet, obesity, and age. They also share mutually inclusive phenotypic features such as the metabolic deregulations resulting from hyperglycemia, hypoxic conditions and hormonal imbalances. Although, the association between diabetes and cancer has long been speculated; however, the exact molecular nature of this link remains to be fully elucidated. Both the diseases are leading causes of death worldwide and a causal relationship between the two if not addressed, may translate into a major global health concern. Previous studies have hypothesized hyperglycemia, hyperinsulinemia, hormonal imbalances and chronic inflammation, as some of the possible grounds for explaining how diabetes may lead to cancer initiation, yet further research still needs to be done to validate these proposed mechanisms. At the crux of this dilemma, hyperglycemia and hypoxia are two intimately related states involving an intricate level of crosstalk and hypoxia inducible factor 1, at the center of this, plays a key role in mediating an aggressive disease state, particularly in solid tumors such as breast cancer. Subsequently, elucidating the role of HIF1 in establishing the diabetes-breast cancer link on hypoxia-hyperglycemia axis may not only provide an insight into the molecular mechanisms underlying the association but also, illuminate on the prognostic outcome of the therapeutic targeting of HIF1 signaling in diabetic patients with breast cancer or vice versa. Hence, this review highlights the critical role of HIF1 signaling in patients with both T2DM and breast cancer, potentiates its significance as a prognostic marker in comorbid patients, and further discusses the potential prognostic outcome of targeting HIF1, subsequently establishing the pressing need for HIF1 molecular profiling-based patient selection leading to more effective therapeutic strategies emerging from personalized medicine.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

Background

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

Methods

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

Results

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients’ race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

Conclusions

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01209-w.

Predicting disease-related and patient-reported outcomes in older patients with breast cancer - a systematic review

The number of older patients with breast cancer has increased due to the aging of the general population. The use of a geriatric assessment in this population has been advocated in many studies and guidelines as it can be used to identify high risk populations for early mortality and toxicity. Additionally, geriatric parameters could predict relevant outcome measures. This systematic review summarizes all available evidence on predictive factors for various outcomes (disease-related and survival, toxicity, and patient-reported outcomes), with a special focus on geriatric parameters and patient-reported outcomes, in older patients with breast cancer. Studies were identified through systematic review of the literature published up to September 1st 2019 in the PubMed database and EMBASe. A total of 173 studies were included. Most studies investigated disease-related and survival outcomes (n = 123, 71%). Toxicity was investigated in 40 studies (23%) and a mere 15% (n = 26) investigated patient-reported outcomes. Various measures that can be derived from a geriatric assessment were predictive for survival endpoints. Furthermore, geriatric parameters were among the most frequently found predictors for toxicity and patient-reported outcomes. In conclusion, this study shows that geriatric parameters can predict survival, toxicity, and patient-reported outcomes in older patients with breast cancer. These findings can be used in daily clinical practice to identify patients at risk of early mortality, high risk of treatment toxicity or poor functional outcome after treatment. A minority of studies used relevant outcome measures for older patients, showing the need for studies that are tailored to the older population.

Incidence and Predictors of Diabetes Mellitus after a Diagnosis of Early-Stage Breast Cancer in the Elderly Using Real-World Data

PURPOSE

The incidence and predictors of diabetes (DM) in patients with breast cancer (BC) were evaluated. We compared DM incidence and physician access in BC patients to matched controls.

METHODS

We identified women with stage I-III BC diagnosed from 2005 to 2013 in the SEER-Medicare database, with ≥ 2 years of follow-up after diagnosis, without previous DM claims. Incident DM was determined by ≥ 1 DM claims after BC diagnosis. Multivariable analysis was used to identify factors associated with incident DM. Age- and race-matched non-cancer controls were obtained from a 5% random sample and assigned an index date. Physician and PCP visits per-patient-per-year were compared between cases and controls in the two-year period prior to and after the index date.

RESULTS

Among 14,506 eligible BC patients, 3234 (22.3%) developed DM versus 16.5% of controls. Among BC patients, factors associated with incident DM included race (Black OR 1.63 95% CI 1.39-1.93, Hispanic OR 3.03 95% CI 1.92-4.81; vs. Caucasians), SES (Quintile 0 vs. Quintile 4 OR 1.55 95% CI 1.33-1.78), and receipt of chemotherapy (vs. none OR 1.19 95% CI 1.08-1.31). Among cases and controls, respectively, median physician visits per-patient-per-year were 19 and 17 prior to the index date, and 46 and 19 after the index date; median PCP visits were 2 for both groups in both periods.

CONCLUSION

About 22% of BC patients developed DM, more than controls in the same period. While there were differences in healthcare access, there weren't differences in PCP access between groups. This represents an opportunity for better comorbidity management in BC patients.

<p>Glycosylated Hemoglobin A1c Is Associated with Anthropometric Measurements and Tumor Characteristics in Breast Cancer Patients</p>

Purpose

To investigate the association between glycosylated hemoglobin A1c (HbA1c) with anthropometric measurements and clinicopathologic characteristics of breast cancer patients. Such data are lacking in Arabian countries.

Patients and Methods

A cross-sectional study was conducted at the Outpatient Oncology Unit at King Hussein Medical Center at the Royal Medical Services (RMS) and 223 breast cancer patients were included. Blood levels of HbA1c were measured and patients were classified into normal/non-diabetic (HbA1c <5.7%), prediabetic (HbA1c 5.7–6.4%), and diabetic (HbA1c ≥6.5%).

Results

The average age of patients was 49.9±10.3 years. Most patients had waist circumference equal to or more than 80 cm (91.9%) and more than half (55.2%) had waist-hip ratio equal to or more than 0.85. Mean body mass index (BMI) was 29.9±5.7 kg/m². The mean level of HbA1c was 6.2±1.4% (range 4.7% to 12.6%). HbA1c levels revealed that most patients in this study classified as prediabetics (44.4%). There was a significant positive correlation between HbA1c levels and each of patient's age (r=0.267, p<0.001), waist circumference (r=0.180, p=0.008), and waist-hip ratio (r=0.278, p<0.001). Compared with premenopausal breast cancer patients, postmenopausal patients had significantly higher HbA1c blood levels (t=–3.542, p=0.003). HbA1c was significantly associated with stage (p=0.044) and grade (p=0.016) of carcinoma in premenopausal breast cancer patients. Among postmenopausal cases, HbA1c was significantly associated with molecular subtype of the disease (p=0.039).

Conclusion

The majority of Jordanian breast cancer patients in this study are prediabetic, obese, and had visceral obesity. HbA1c levels are increased among older patients and those who have greater waist circumference and waist-hip ratio. HbA1c is associated with advanced stage and grade of breast carcinoma in premenopausal patients and with molecular subtype in postmenopausal cases. These findings urge the need to screen breast cancer patients for glycemic status upon disease presentation and to further consider treatments to control hyperglycemia in order to reduce the impact of metabolic derangements on disease prognosis and outcomes.

Cause-Specific Risk Factors of Death in Individuals with Diabetes: A Competing Risks Modeling

BACKGROUND

Diabetes is on the rise worldwide.

OBJECTIVES

This study aimed to evaluate the risk factors of various causes of death in people with type 2 diabetes (T2D).

METHODS

In this cohort study on 2638 people with T2D, we applied cause-specific and sub-distribution hazards models to assess the impact of various factors on the risk of death. Moreover, we plotted a cumulative incidence curve to summarize cumulative failure rates over time.

RESULTS

About 75% of individuals with T2D died from cardiovascular disease (CVD) and cerebrovascular accidents (CVA). Death from CVD was associated with the increased risk of hypertension (hazard ratio (HR) = 1.83, 95% CI: 1.37 - 2.46), hypercholesterolemia (HR = 1.58, 95% CI: 1.17 - 2.14), and diabetes duration. The risk of death from CVA was related to hypertension (HR = 2.76, 95% CI: 1.67 - 4.55) and hyperglycemia (HR = 4.34, 95% CI: 1.75 - 10.79). The CVA risk in patients with diabetes duration of 10 - 20 years was higher than the risk in patients with diabetes duration > 20 years (diabetes duration of ≤ 10 years as the reference category). Diabetes duration of longer than 20 years was associated with a higher risk of death from cancer (HR = 2.65, 95% CI: 1.05 - 6.68). The risk of death from foot infection and diabetic nephropathy increased in patients with longer diabetes duration after adjustment for sex, age, and body mass index.

CONCLUSIONS

Regardless of the cause, death rates in people with T2D increase over time and risk factors have different impacts on death from each cause. This should be acknowledged in risk management in individuals with T2D.

Diabetes mellitus and risk of pancreatic cancer in China: A meta-analysis based on 26 case-control studies

AIMS

The relationship between diabetes mellitus and pancreatic cancer risk from is uncertain based on the results of existing publications. The current report updated and re-evaluated the possible association between diabetes mellitus and pancreatic cancer risk in China.

METHODS

Six databases (PubMed, Embase, Web of Science, the Cochrane Library, the Chinese Biomedical Database, and the Chinese National Knowledge Infrastructure) were used for the literature search up to October 2017.

RESULTS

Twenty-six case-control studies involving 7702 pancreatic cancer cases and 10186 controls were screened out. The overall summary estimate for the relationship between diabetes and pancreatic cancer was 3.69 (95% CI, 3.12-4.37). The subgroup analysis indicated positive associations among northern and southern Chinese, as well as studies with healthy population or hospital controls. In addition, the risk of developing pancreatic cancer was inversely associated with the duration of diabetes, with the highest risk of pancreatic cancer occurring among patients with diabetes <2years. Individuals who had diabetes <2years had a >2-fold higher risk of developing pancreatic cancer than individuals who had diabetes for 2-4years or 5-10years (OR, 4.92; 95% CI, 4.16-5.80 vs. OR, 1.92; 95% CI, 1.30-2.85/OR, 2.14; 95% CI, 1.49-3.09).

CONCLUSIONS

This meta-analysis strongly supports that an association exists between diabetes and an increased risk of pancreatic cancer in China, which should be confirmed with other ethnic groups.

Comparison of Comorbid Conditions Between Cancer Survivors and Age-Matched Patients Without Cancer

Background

Cancer survivors suffer from many comorbid conditions even after the cure of their cancers beyond 5 years. We explored the differences in the association of comorbid conditions between the cancer survivors and patients without cancer.

Methods

Electronic medical records of 280 adult cancer survivors and 280 age-matched patients without cancer in our suburban internal medicine office were reviewed.

Results

Mean age of the cancer survivors was 72.5 ± 13.1 years, and the age of the patients without cancer was 72.5 ± 12.8 years. The number of male cancer survivors was significantly higher than the female cancer survivors (52.5% vs. 47.5%, P < 0.001). There were significantly more Caucasians and other races (majority Asians) in the cancer survivor group compared to the patients without cancer group (81.8% vs. 79.3% and 4.6% vs. 0.4%, respectively, P < 0.05); while there were significantly less African Americans and Hispanics in the cancer survivor group compared to the patients without cancer group (10.0% vs. 12.8% and 3.6% vs. 7.5%, respectively, P < 0.05). Hypertension (64.3%), hyperlipidemia (56.1%), osteoarthritis (34.3%), hypothyroidism (21.8%), diabetes mellitus (21.8%) and coronary artery disease (21.8%) were the most common comorbid conditions observed in the cancer survivors. Osteoarthritis was the only comorbid condition that was significantly less frequently associated with the cancer survivors compared to the patients without cancer (42.9%, P < 0.05). The frequencies of all other comorbid conditions were not significantly different between the two groups. The majority of our group of cancer survivors had one or more types of the top six cancers which include prostate cancer (30.7%), melanoma (13.9%), thyroid cancer (11.4%), colon cancer (11.1%), uterine cancer (11.1%) and urinary bladder cancer (11.1%); while only a few had cancer of the cervix (6.1%) or breast cancer (0.3%). Use of aspirin, statin, vitamin D, multivitamins, metformin and fish oil supplement in the cancer survivors was similar to the patients without cancer.

Conclusions

Hypertension, hyperlipidemia, osteoarthritis, hypothyroidism, diabetes mellitus and coronary artery disease are the most common associated comorbid conditions in the cancer survivors. Osteoarthritis is less frequently seen in the cancer survivors compared to the patients without cancer. The frequencies of other comorbid conditions are not significantly different between the two groups.

Diabetes and Overall Survival among Breast Cancer Patients in the U.S. Military Health System

Background: Although research suggests that type II diabetes mellitus (DM-2) is associated with overall and breast cancer-specific decreased survival, most prior studies of breast cancer survival investigated the effect of preexisting DM-2 without assessing the effect of DM-2 diagnosed at or after breast cancer diagnosis. This study examined the relationship between DM-2 diagnosed before and after breast cancer diagnosis and overall survival.Methods: This study uses linked Department of Defense cancer registry and medical claims data from 9,398 women diagnosed with breast cancer between 1998 and 2007. Cox proportional hazards models were used to assess the association between DM-2 and overall survival.Results: Our analyses showed that women with DM-2 diagnosed before breast cancer diagnosis tended to have a higher risk of mortality compared with women without diabetes [HR = 1.17; 95% confidence interval (CI), 0.95-1.44] after adjustment for potential confounders. Similarly, patients diagnosed with DM-2 at or after breast cancer diagnosis had increased mortality compared with women without DM-2 (HR = 1.39; 95% CI, 1.16-1.66). The similar tendency was also observed among most subgroups when results were stratified by race, menopausal status, obesity, tumor hormone receptor status, and stage.Conclusions: Using data from a health system that provides universal health care to its beneficiaries, this study showed an increased risk of death associated with DM-2, regardless of whether it was diagnosed before or at/after breast cancer diagnosis.Impact: These results suggest the potential effects of factors independent of the timing of DM-2 clinical diagnosis on the association of DM-2 with overall survival. Cancer Epidemiol Biomarkers Prev; 27(1); 50-57. ©2017 AACR.

Long-Term Diabetes Mellitus Is Associated with an Increased Risk of Pancreatic Cancer: A Meta-Analysis

Purpose

Previous studies have shown a bidirectional relationship between diabetes and pancreatic cancer (PC). In particular, new-onset diabetes might be induced by PC, and people with long-term diabetes might be at increased risk for the development of PC. The purpose of our study was to examine whether long-term diabetes represented an independent risk factor for PC development.

Methodology

A literature search was performed by searching electronic databases for studies published before July 1, 2014, and relative risks (RRs) and corresponding 95% confidence intervals (CIs) were calculated. Data pertaining to diabetes were recorded at both individual and study levels, with RRs calculated separately to analyze the relationship between the duration of diabetes and the development of PC.

Results

Forty-four studies were included in this meta-analysis, including 18 studies with a case-control design, 5 with a nested case-control design and 21 with a cohort design. The overall summary estimate for the relationship between the population with a duration of diabetes ≥2 years and PC was 1.64 (1.52-1.78). The pooled RR (95% CI) of PC for the population with a duration of diabetes ≥5 years was 1.58 (1.42-1.75). For the population with a duration of diabetes ≥10 years, the RR (95% CI) of PC was 1.50 (1.28-1.75).

Conclusions

Our study suggests that long-term diabetes mellitus is associated with an increased risk of PC. However, the level of risk is negatively correlated with increasing diabetes mellitus duration.

Clinical pathological characteristics of breast cancer patients with secondary diabetes after systemic therapy: a retrospective multicenter study

The objective of this study was to investigate the clinical pathological characteristics of breast cancer (BC) patients with secondary diabetes after systemic therapy without preexisting diabetes. A total of 1434 BC patients received systemic therapy and were analyzed retrospectively. Fasting plasma glucose (FPG) levels were monitored prior to the treatments, during the course of systemic therapy, and at the follow-up visits. Cox regression models were used to estimate the associations between the clinical pathological characteristics of BC and the cause-specific hazard of developing secondary diabetes. Among the 1434 BC patients, 151 had preexisting type 2 diabetes. Of the remaining 1283 patients with normal FPG levels prior to the systemic therapy, 59 developed secondary diabetes and 72 displayed secondary impaired fasting glucose (IFG) over a mean follow-up of 41 months. The prevalence of secondary type 2 diabetes in BC patients was 4.6 % (59/1283), which was obviously higher than that of the normal control group (1.4 %, P < 0.001). The percentage of older patients (P < 0.05), menopausal patients (P < 0.001), and obese patients (P < 0.01) tended to be lower in the secondary diabetic group. In addition, these patients with secondary diabetes had later pathological stages (P < 0.01), more lymph node metastasis (P < 0.05), negative estrogen receptor (ER) expression (P < 0.05), and smaller size of tumors (P < 0.05). After adjusting for age and BMI, the risk of developing secondary diabetes and IFG in subjects with later pathological stage BC (hazard ratio (HR) = 1.623; 95 % confidence interval (CI) 1.128–2.335 (P < 0.01)), negative progesterone receptor (PR) expression (HR = 0.530; 95 % CI 0.372–0.755 (P < 0.001)), positive human epidermal growth factor receptor 2 (HER2) expression (HR = 1.822; 95 % CI 1.230–2.700 (P < 0.01)), and more lymph node metastasis (HR = 1.595; 95 % CI 1.128–2.258 (P < 0.01)) was significantly higher. In conclusion, this study shows that an increase in the incidence of diabetes among breast cancer survivors after systemic therapy, especially the patients with later pathological stages, more lymph node metastasis, negative hormone receptor expression, and positive HER2 expression. Our study suggests that greater diabetes screening and prevention strategies among breast cancer patients after systemic treatment are needed in China.

Racial disparities and colorectal cancer survival in older adults with and without diabetes mellitus

BACKGROUND AND AIM

To investigate whether pre-existing diabetes modifies racial disparities in colorectal cancer (CRC) survival.

METHODS

We analyzed prospective data from 16 977 patients (age ≥ 67 years) with CRC from the Surveillance Epidemiology and End Results (SEER)-Medicare database. SEER registries included data on demographics, tumor characteristics, and treatment. Medicare claims were used to define pre-existing diabetes and comorbid conditions. Mortality was confirmed in both sources.

RESULTS

At baseline, 1332 (8%) were African Americans and 26% had diabetes (39% in blacks; 25% in whites). From 2000 to 2005, more than half of the participants died (n = 8782, 52%). This included 820 (62%) deaths (23.8 per 100 person-years) among blacks, and 7962 (51%) deaths (16.6 per 100 person-years) among whites. Among older adults with diabetes, blacks had significantly higher risk of all-cause and CRC mortality after adjustments for demographic characteristics (hazard ratio [HR], 95% confidence interval [CI]: 1.21 [1.08-1.37] and 1.21 [1.03-1.42]), respectively, but these associations attenuated to null after additional adjustments for cancer stage and grade. Among adults without diabetes, the risk of all-cause mortality (HR [95% CI]: 1.14 [1.04-1.25]) and CRC mortality (HR [95% CI]: 1.21 [1.08-1.36]) remained higher in blacks than whites in fully adjusted models that included demographic variables, cancer stage, grade, treatments, and comorbidities.

CONCLUSIONS

Among older adults with CRC, diabetes is an effect modifier on the relationship between race and mortality. Racial disparities in survival were explained by demographics, cancer stage, and grade in patients with diabetes.

Is symptom-oriented follow-up still up to date?

The main objective of following patients after the primary treatment of breast cancer is the detection of potentially curable events, particularly the detection of local recurrences and contralateral breast cancer. Additionally, medical counseling on therapies, psychosocial aspects, side effects of therapies, and lifestyle interventions is important to improve the quality of life. There is an ongoing discussion about whether early detection of asymptomatic metastasis could improve the course of disease. Today, the follow-up is still symptom-orientated. Intensified imaging and laboratory check-ups have not been beneficial for the patients' survival. A follow-up in the first 2-3 years is recommended every 3 months. Because of the decreasing incidence of recurrence from year 4, 6-monthly screening intervals are recommended. The screening should include a history, physical examination, and a consultation. Routine diagnostic imaging - except for mammography/ultrasound - is not indicated in asymptomatic patients. Innovative therapies for patients with metastatic breast cancer have been introduced. Therefore, measures of an intensified follow-up could change in the future as novel endocrine combination or targeted therapies in molecular subtypes could significantly improve the survival in early detected metastasis. In the future, more individualized follow-up programs are conceivable. However, this idea is so far not supported by the available data.