Total burden of disease in cancer patients at diagnosis-a Danish nationwide study of multimorbidity and redeemed medication

Measuring the impact of COVID-19 on cancer survival using an interrupted time series analysis

BACKGROUND

Few studies have investigated the impact of the COVID-19 pandemic on cancer survival. Those studies that have included pandemic vs prepandemic comparisons can mask differences during different periods of the pandemic such as COVID-19 waves. The objective of this study was to investigate the impact of the COVID-19 pandemic on cancer survival using an interrupted time series analysis and to identify time points during the pandemic when observed survival deviated from expected survival.

METHODS

A retrospective population-based cohort study that included individuals diagnosed with cancer between January 2015 and September 2021 from Manitoba, Canada, was performed. Interrupted time series analyses with Royston-Parmar models as well as Kaplan-Meier survival estimates and delta restricted mean survival times at 1 year were used to compare survival rates for those diagnosed before and after the pandemic. Analyses were performed for 11 cancer types.

RESULTS

Survival at 1 year for most cancer types was not statistically different during the pandemic compared with prepandemic except for individuals aged 50-74 years who were diagnosed with lung cancer from April to June 2021 (delta restricted mean survival times = -31.6 days, 95% confidence interval [CI] = -58.3 to -7.2 days).

CONCLUSIONS

With the exception of individuals diagnosed with lung cancer, the COVID-19 pandemic did not impact overall 1-year survival in Manitoba. Additional research is needed to examine the impact of the pandemic on long-term cancer survival.

The prevalence and correlates of comorbidities among patients with cancer attending a tertiary care cancer center in South India: An analytical cross-sectional study

Background

Comorbidities in patients with cancer can affect treatment, and should, therefore, be prioritized and managed.

Objectives

Our primary aim was to assess the prevalence of comorbidities among patients with cancer. The secondary objective was to identify the association of comorbidities with various sociodemographic and clinical variables.

Materials and Methods

This was a cross-sectional study conducted between December 2019 and March 2020 among patients with cancer, seeking treatment at Malabar Cancer Center, in Kannur District of northern Kerala in South India. Semi-structured interviews were conducted, and comorbidities were assessed using the Charlson Comorbidity Index. The anthropometric measurements were recorded using a standardized instrument and protocol.

Results

We enrolled 242 patients in this study. There were 148 (61.2%) female patients; 106 (43.8%) were aged between 41 and 50 years. Cancers of the head-and-neck and breast accounted for the majority of cases (23.1% each, n = 56), followed by the digestive system (18.6%, n = 45) and female reproductive system (11.2%, n = 27). The most common primary cancers in the head-and-neck, digestive, and female reproductive systems were oral, colorectal, and cervical, respectively. The prevalence of comorbidities among patients with cancer was 70.2% (n = 170). Common comorbidities were hypertension (n = 82 ; 33.9%), arthritis (n = 57; 23.6%), and diabetes (n = 53; 21.6%). After controlling for potential confounders, the factors noted to be independently associated with the presence of comorbidities were advanced age, family history of comorbidity, normal weight or underweight, and cancer treatment for more than 6 months' duration.

Conclusions

The high prevalence of comorbidities among patients with cancer suggests the need for an integrated system of care and management as the comorbidities affect the overall management of cancer treatment and care.

Impact of multimorbidity and polypharmacy on mortality after cancer: a nationwide registry-based cohort study in Denmark 2005-2017

BACKGROUND

Concurrent chronic diseases and treatment hereof in patients with cancer may increase mortality. In this population-based study we examined the individual and combined impact of multimorbidity and polypharmacy on mortality, across 20 cancers and with 13-years follow-up in Denmark.

MATERIALS AND METHODS

This nationwide study included all Danish residents with a first primary cancer diagnosed between 1 January 2005 and 31 December 2015, and followed until the end of 2017. We defined multimorbidity as having one or more of 20 chronic conditions in addition to cancer, registered in the five years preceding diagnosis, and polypharmacy as five or more redeemed medications 2-12 months prior to cancer diagnosis. Cox regression analyses were used to estimate the effects of multimorbidity and polypharmacy, as well as the combined effect on mortality.

RESULTS

A total of 261,745 cancer patients were included. We found that patients diagnosed with breast, prostate, colon, rectal, oropharynx, bladder, uterine and cervical cancer, malignant melanoma, Non-Hodgkin lymphoma, and leukemia had higher mortality when the cancer diagnosis was accompanied by multimorbidity and polypharmacy, while in patients with cancer of the lung, esophagus, stomach, liver, pancreas, kidney, ovarian and brain & central nervous system, these factors had less impact on mortality.

CONCLUSION

We found that multimorbidity and polypharmacy was associated with higher mortality in patients diagnosed with cancer types that typically have a favorable prognosis compared with patients without multimorbidity and polypharmacy. Multimorbidity and polypharmacy had less impact on mortality in cancers that typically have a poor prognosis.

Cancer: slaying the nine-headed Hydra

Modern medicine continues to evolve, and the treatment armamentarium for various diseases grows more individualized across a breadth of medical disciplines. Cure rates for infectious diseases that were previously pan-fatal approach 100% because of the identification of the specific pathogen(s) involved and the use of appropriate combinations of drugs, where needed, to completely extinguish infection and hence prevent emergence of resistant strains. Similarly, with the assistance of technologies such as next-generation sequencing and immunomic analysis as part of the contemporary oncology armory, therapies can be tailored to each tumor. Importantly, molecular interrogation has revealed that metastatic cancers are distinct from each other and complex. Therefore, it is conceivable that rational personalized drug combinations will be needed to eradicate cancers, and eradication will be necessary to mitigate clonal evolution and resistance.

Comparing the association between multiple chronic conditions, multimorbidity, frailty, and survival among older patients with cancer

INTRODUCTION

The high prevalence of multiple chronic conditions (MCC), multimorbidity, and frailty may affect treatment and outcomes for older adults with cancer. The goal of this study was to use three conceptually distinct measures of morbidity to examine the association between these measures and mortality.

MATERIALS AND METHODS

Using Medicare claims data linked with the 2012-2016 Ohio Cancer Incidence Surveillance System we identified older adults with incident primary cancer sites of breast, colorectal, lung, or prostate (n = 29,140). We used claims data to identify their Elixhauser comorbidities, Multimorbidity-Weighted Index (MWI), and Claims Frailty Index (CFI) as measures of MCC, multimorbidity, and frailty, respectively. We used Cox proportional hazard models to examine the association between these measures and survival time since diagnosis.

RESULTS

Lung cancer patients had the highest levels of MCC, multimorbidity, and frailty. There was a positive association between all three measures and a greater hazard of death after adjusting for age, sex (colorectal and lung only), and stage. Breast cancer patients with 5+ comorbidities had an adjusted hazard ratio (aHR) of 1.63 (95% confidence interval [CI]: 1.38, 1.93), and those with mild frailty had an aHR of 3.38 (95% CI; 2.12, 5.41). The C statistics for breast cancer were 0.79, 0.78, and 0.79 for the MCC, MWI, and CFI respectively. Similarly, lung cancer patients who were moderately or severely frail had an aHR of 1.82 (95% CI: 1.53, 2.18) while prostate cancer patients had an aHR of 3.39 (95% CI: 2.12, 5.41) and colorectal cancer patients had an aHR of 4.51 (95% CI: 3.23, 6.29). Model performance was nearly identical across the MCC, multimorbidity, and frailty models within cancer type. The models performed best for prostate and breast cancer, and notably worse for lung cancer. The frailty models showed the greatest separation in unadjusted survival curves.

DISCUSSION

The MCC, multimorbidity, and frailty indices performed similarly well in predicting mortality among a large cohort of older cancer patients. However, there were notable differences by cancer type. This work highlights that although model performance is similar, frailty may serve as a clearer indicator in risk stratification of geriatric oncology patients than simple MCCs or multimorbidity.

ESMO Expert Consensus Statements on Cancer Survivorship: promoting high-quality survivorship care and research in Europe

BACKGROUND

The increased number of cancer survivors and the recognition of physical and psychosocial challenges, present from cancer diagnosis through active treatment and beyond, led to the discipline of cancer survivorship.

DESIGN AND METHODS

Herein, we reflected on the different components of survivorship care, existing models and priorities, in order to facilitate the promotion of high-quality European survivorship care and research.

RESULTS

We identified five main components of survivorship care: (i) physical effects of cancer and chronic medical conditions; (ii) psychological effects of cancer; (iii) social, work and financial effects of cancer; (iv) surveillance for recurrences and second cancers; and (v) cancer prevention and overall health and well-being promotion. Survivorship care can be delivered by structured care models including but not limited to shared models integrating primary care and oncology services. The choice of the care model to be implemented has to be adapted to local realities. High-quality care should be expedited by the generation of: (i) focused and shared European recommendations, (ii) creation of tools to facilitate implementation of coordinated care and (iii) survivorship educational programs for health care teams and patients. The research agenda should be defined with the participation of health care providers, researchers, policy makers, patients and caregivers. The following patient-centered survivorship research areas were highlighted: (i) generation of a big data platform to collect long-term real-world data in survivors and healthy controls to (a) understand the resources, needs and preferences of patients with cancer, and (b) understand biological determinants of survivorship issues, and (ii) develop innovative effective interventions focused on the main components of survivorship care.

CONCLUSIONS

The European Society for Medical Oncology (ESMO) can actively contribute in the efforts of the oncology community toward (a) promoting the development of high-quality survivorship care programs, (b) providing educational material and (c) aiding groundbreaking research by reflecting on priorities and by supporting research networking.

Glycosylated haemoglobin and prognosis in 10,536 people with cancer and pre-existing diabetes: a meta-analysis with dose-response analysis

AIMS

To assess whether glycaemic control is associated with prognosis in people with cancer and pre-existing diabetes.

METHODS

In this pre-registered systematic review (PROSPERO: CRD42020223956), PubMed and Web of Science were searched on 25th Nov 2021 for studies investigating associations between glycosylated haemoglobin (HbA1c) and prognosis in people with diabetes and cancer. Summary relative risks (RRs) and 95% Confidence Intervals (CIs) for associations between poorly controlled HbA1c or per 1-unit HbA1c increment and cancer outcomes were estimated using a random-effects meta-analysis. We also investigated the impact of potential small-study effects using the trim-and-fill method and potential sources of heterogeneity using subgroup analyses.

RESULTS

Fifteen eligible observational studies, reporting data on 10,536 patients with cancer and pre-existing diabetes, were included. Random-effects meta-analyses indicated that HbA1c ≥ 7% (53 mmol/mol) was associated with increased risks of: all-cause mortality (14 studies; RR: 1.14 [95% CI: 1.03-1.27]; p-value: 0.012), cancer-specific mortality (5; 1.68 [1.13-2.49]; p-value: 0.011) and cancer recurrence (8; 1.68 [1.18-2.38; p-value: 0.004]), with moderate to high heterogeneity. Dose-response meta-analyses indicated that 1-unit increment of HbA1c (%) was associated with increased risks of all-cause mortality (13 studies; 1.04 [1.01-1.08]; p-value: 0.016) and cancer-specific mortality (4; 1.11 [1.04-1.20]; p-value: 0.003). All RRs were attenuated in trim-and-fill analyses.

CONCLUSIONS

Our findings suggested that glycaemic control might be a modifiable risk factor for mortality and cancer recurrence in people with cancer and pre-existing diabetes. High-quality studies with a larger sample size are warranted to confirm these findings due to heterogeneity and potential small-study effects. In the interim, it makes clinical sense to recommend continued optimal glycaemic control.

Temporal trajectories of important diseases in the life course and premature mortality in the UK Biobank

BACKGROUND

Little is known regarding life-course trajectories of important diseases. We aimed to identify diseases that were strongly associated with mortality and test temporal trajectories of these diseases before mortality.

METHODS

Our analysis was based on UK Biobank. Diseases were identified using questionnaires, nurses' interviews, or inpatient data. Mortality register data were used to identify mortality up to January 2021. The association between 60 individual diseases at baseline and in the life course and incident mortality was examined using Cox proportional regression models. Those diseases with great contribution to mortality were identified and disease trajectories in life course were then derived.

RESULTS

During a median follow-up of 11.8 years, 31,373 individuals (median age at death (interquartile range): 70.7 (65.3-74.8) years, 59.4% male) died of all-cause mortality (with complete data on diagnosis date of disease), with 16,237 dying with cancer and 6702 with cardiovascular disease (CVD). We identified 37 diseases including cancers and heart diseases that were associated with an increased risk of mortality independent of other diseases (hazard ratio ranged from 1.09 to 7.77). Among those who died during follow-up, 2.2% did not have a diagnosis of any disease of interest and 90.1% were diagnosed with two or more diseases in their life course. Individuals who were diagnosed with more diseases in their life course were more likely to have longer longevity. Cancer was more likely to be diagnosed following hypertension, hypercholesterolemia, CVD, or digestive disorders and more likely to be diagnosed ahead of CVD, chronic kidney disease (CKD), or digestive disorders. CVD was more likely to be diagnosed following hypertension, hypercholesterolemia, or digestive disorders and more likely to be diagnosed ahead of cancer or CKD. Hypertension was more likely to precede other diseases, and CKD was more likely to be diagnosed as the last disease before more mortality.

CONCLUSIONS

There are significant interplays between cancer and CVD for mortality. Cancer and CVD were frequently clustered with hypertension, CKD, and digestive disorders with CKD highly being diagnosed as the last disease in the life course. Our findings underline the importance of health checks among middle-aged adults for the prevention of premature mortality.

Use and diagnostic outcomes of cancer patient pathways in Denmark - is the place of initial diagnostic work-up an important factor?

Introduction

The Cancer Patient Pathway for Non-specific Symptoms and Signs of Cancer (NSSC-CPP) has been implemented in Denmark with regional and intra-regional differences. In some places, the initial diagnostic work-up (often including a CT scan) is performed by general practitioners (GPs) and in others by hospitals. Variations may influence the use of Organ Specific Cancer Patient Pathways (OS-CPPs) and prognostic outcomes for the patients. Therefore, the aims were: 1) To analyse how a CT scan referred from GP or hospital is followed by OS-CPPs and NSSC-CPPs at the national and regional level, and 2) To analyse, nationally and regionally, the diagnostic outcomes of persons referred to CT scan by either GP or hospital six months after and mortality one year after CT scan.

Methods

A nationwide population-based study including individuals with a first CT scan in 2013-2016, either referred from GP or hospital.

Results

Overall, individuals with a CT scan referred from GPs were more likely to start a NSSC-CPP or an OS-CPP than individuals with a CT scan referred by hospitals. Across the five Regions in Denmark, CT scans referred by GPs were associated with reduced odds of total mortality in all regions; (North, OR=0.78 [0.73 0.83], Central, OR=0.92 [0.87 0.96], South, OR=0.85 [0.81 0.89], Capital, OR=0.96 [0.91 1.00] and Zealand, OR=0.85 [0.79 0.90]) and increased odds of cancer-specific mortality in four regions, ORs ranging from 1.15-1.51 with no difference in Region North (1.00 [0.91 1.10]).

Conclusion

No obvious association between more CT scans and CPPs and reduced diagnoses and mortality was observed. The different diagnostic models might not explain the prognostic outcomes, but the different use of CT scans in, and between Regions play a large role in the differences in incidence and mortality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07545-x.

Prescription rates for commonly used drugs before and after a prostate cancer diagnosis

PURPOSE

To investigate differences in prescription rates of commonly used drugs among prostate cancer patients and cancer-free comparisons and between patients diagnosed with localized and non-localized disease.

METHODS

We conducted a register-based study including all men aged 50-85 years diagnosed with prostate cancer in Denmark from 1998 to 2015 and an age-matched cancer-free comparison cohort. We calculated the number of new and total prescriptions from three years before to three years after the date of diagnosis of the case for selected drug classes divided by the number of person-months and stratified by stage at diagnosis.

RESULTS

We included 54,286 prostate cancer patients and 249,645 matched comparisons. 30,712 patients were diagnosed with localized disease and 12,884 with non-localized disease. The rates of new prescriptions increased considerably among patients within the year before the diagnosis. Hereafter the rates varied between drug classes. For most drug classes, total prescription rates for patients and comparisons increased similarly in the study period. Total prescription rates varied between men with localized and non-localized disease for all drug classes apart from statins.

CONCLUSION

Our findings indicate that a large proportion of prostate cancer cases are likely diagnosed during medical work-up for other reasons than prostate cancer. Increased rates occur within the last year before diagnosis and future studies on the interaction between drug use and prostate cancer should at least include a one year pre-diagnostic lag-time. Post-diagnostic prescription rates demonstrated an increased use of drugs most likely associated with the consequences of the disease.

Pre- and Perioperative Inflammatory Biomarkers in Older Patients Resected for Localized Colorectal Cancer: Associations with Complications and Prognosis

Simple Summary

Colorectal cancer is the second most common cancer worldwide, and the incidence increases with age. The primary treatment for localized disease is surgical resection. Biomarkers identifying older patients at risk of complications following surgery are desirable to create a more individualized treatment plan. The purpose of this study is to investigate if circulating proteins related to inflammation (CRP, Il-6, and YKL-40) can provide information about the risk of complications and survival in older patients undergoing resection, and, furthermore, to investigate if this relation is different in older patients as compared to younger patients. We investigated 401 patients with localized colorectal cancer and found that older patients (n = 210) had higher levels of preoperative inflammatory biomarkers compared to younger patients (n = 191). High levels were associated with major complications after resection in older, but not in younger, patients. This may be useful in the future to design more personalized treatment plans.

Abstract

The association between pre- and perioperative inflammatory biomarkers, major complications, and survival rates after resection of colorectal cancer (CRC) in older patients is largely unknown. The aim was to investigate age-dependent differences in these associations. Serum CRP, IL-6, and YKL-40 were measured preoperatively and on the first and second day after resection of CRC (stages I–III) in 210 older (≥70 years) and 191 younger patients (<70 years). The results from the complications was presented as an odds ratio (OR, with a 95% confidence interval (CI)) with logistic regression. Results from the mortality rates were presented as a hazard ratio (HR, with a 95% CI) using Cox proportional hazards regression. The preoperative inflammatory biomarkers were higher in the older vs. the younger patients. The risk of complications was increased in older patients with a high preoperative CRP (OR = 1.25, 95% CI 1.03–1.53), IL-6 (OR = 1.57, 95% CI 1.18–2.08), and YKL-40 (OR = 1.66, 95% CI 1.20–2.28), but not in younger patients. Mortality was higher in younger patients with high preoperative YKL-40 (HR = 1.66, 95% CI 1.06–2.60). This was not found in older patients. Elevated preoperative inflammatory biomarkers among older patients were associated with an increased risk of complications, but not mortality. Preoperative inflammatory biomarkers may be useful in assessing the risk of a complicated surgical course in older patients with CRC.

Cannabis use among Danish patients with cancer: a cross-sectional survey of sociodemographic traits, quality of life, and patient experiences

PURPOSE

Patients with cancer are using cannabis for self-treatment. The reasons, experienced effects, and prevalence of use are unknown in the European general oncological population.

METHODS

Adult patients with cancer attending outpatient oncology clinics were invited to participate in a cross-sectional survey. The questionnaire consisted of sociodemographic questions, validated scales on quality of life, neuropathy, anxiety and depression as well as questions regarding use of cannabis.

RESULTS

The overall response rate was 83% (2839 patients) and 13% of patients were using or had used cannabis during their treatment. Rate of use was higher in smokers (19% vs 11%, p adjusted 0.002), in patients in active cancer treatment (14% vs 10%, p adjusted = 0.02), and in patients with depression (19% vs 11%, adjusted p = 0.002). Cannabis use was also correlated with lower quality of life (EORTC C30 SumScore mean diff. =  - 7.61, 95% CI = [- 9.69; - 5.53]). In total, 77% of users experienced at least one positive effect of cannabis, 18% experienced no effect, and 5% experienced other effects. At least one side effect was experienced by 33% of users. Management of pain and nausea were the primary reasons for initiating cannabis use (39% for both). Less nausea and better sleep were the most common effects experienced (26% for both). Oils for oral use were the most common route of administration (88%).

CONCLUSION

Cannabis use among patients with cancer is prevalent and correlated with worse quality of life. Patients report using cannabis for symptom management and many experience relief of their symptoms. However, one third of patients experienced side effects.

Development of criteria for identifying potentially inappropriate prescribing in older adults with cancer receiving palliative care (PIP-CPC)

OBJECTIVES

To develop criteria for identifying potentially inappropriate prescribing of medications for symptomatic relief in older adults (≥65 years) with cancer who are receiving palliative care and have an estimated life expectancy of <1 year.

MATERIALS AND METHODS

A two-round Delphi exercise was conducted using web-based questionnaires. A panel of 18 expert stakeholders with expertise in palliative care, oncology and/or geriatric medicine across Ireland and the United Kingdom rated their level of agreement with each statement using a 5-point Likert scale and had the option of adding free-text comments throughout the questionnaire. A priori decision rules were used to accept or reject criteria.

RESULTS

Twenty-eight criteria were presented in Round 1. Group consensus was achieved for 15 criteria which were included in the final set of criteria. Following a review of the panel's ratings and additional comments for the remaining 13 criteria, four criteria were removed from Round 2. Group consensus was achieved for all nine criteria included in Round 2. The final set comprised 24 criteria relating to: anorexia-cachexia (n = 1); anxiety (n = 2); constipation (n = 5); delirium (n = 1); depression (n = 3); diarrhoea (n = 1); dyspnoea/breathlessness (n = 1); fatigue (n = 2); insomnia (n = 2); nausea and vomiting (n = 2); pain (n = 3); duplicate drug classes (n = 1).

CONCLUSION

A consensus-agreed set of prescribing criteria has been developed for identifying potentially inappropriate prescribing of medications for symptomatic relief in older adults with cancer who are receiving palliative care and have an estimated life expectancy of less than one year. Future studies should examine the application and validity of these criteria.

Prescribed drugs in 27 000 individuals after diagnosis of colorectal cancer: A population-based cohort study

BACKGROUND

The prevalence of prescribed drugs in survivors of colorectal cancer (CRC) was evaluated.

METHODS

Data from the Cancer Registry of Norway were linked to the Norwegian Prescription Database for a study population of 3.52 million individuals. Prevalence ratios (PRs) with 95% confidence intervals (CIs) of prescribed drugs in CRC-survivors compared to the cancer-free population, were estimated by log-binomial regression, adjusting for age and education.

RESULTS

Almost 27 000 individuals, aged 20 to 84, were diagnosed with CRC during 2005 to 2014. The first year after diagnosis, the prevalence of prescribed drugs was higher in CRC-survivors compared with the cancer-free population, especially drugs for anxiety and tension, and steroid-responsive conditions. PRs for several drugs, especially drugs used for mental and behavioural disorders, decreased with time since diagnosis. The prevalence of drugs used for anxiety and tension was elevated 10 years after diagnosis; PRs the first year after diagnosis were 20 (95% CI: 18-22) in males and 17 (16-18) in females. Ten years after diagnosis PRs were 5.0 (3.1-7.9) and 2.0 (1.0-3.8), respectively. In absolute numbers, the largest increase, compared to the cancer-free population, was in drugs used for gastric acid disorders and pain. The prevalence of neuromodulatory drugs was higher in CRC-survivors.

CONCLUSIONS

The prevalence of several drugs was higher in CRC-survivors than in the cancer-free population 10 years after diagnosis. The largest absolute excess in prevalence was for gastric acid disorder and pain medications, while the relative prevalence of drugs used for anxiety and tension was high in CRC-survivors. Long persisting neuropathia was indicated.