How are patient populations characterized in studies investigating depression in advanced cancer? Results from a systematic literature review

Global trends in psycho-oncology research investments 2016-2020: A content analysis

OBJECTIVE

An estimated one-third of cancer patients experience a clinically significant psychological disorder, however it is unclear to what extent this is reflected in research funding. To address this a systematic analysis the allocation of psycho-oncology research funding globally between 2016 and 2020 was conducted.

METHODS

A global dataset of 66,388 cancer research awards, from 2016 to 2020 inclusive and totalling $24.5 billion USD was assembled from public and philanthropic funders. Each award was previously categorised by cancer site type and research theme, including psychosocial research and these awards were further sub-categorised for this analysis.

RESULTS

There was $523m of funding awarded for psychological research across 1122 studies: 2.14% of all cancer research funding during this period ($24.5 billion). Median funding per award was $97,473 (IQR $36,864 - $453,051). Within psychological research, mental health received most funding ($174m, 33.5% of psychological funding). Cognitive behavioural therapy (CBT) focused research was the specific psychological support with the highest proportion of funding at $14 million. By country of funder, the USA provided most investment ($375.5 m, 71.8%).

CONCLUSIONS

Psycho-oncology research received relatively little funding, for example, when compared with pre-clinical cancer research. There needs to be a shift from pre-clinical science to research that benefits cancer patients in the shorter-term. Low- and middle-income countries, and ethnic minorities in higher-income settings, were underrepresented despite having a large cancer burden, indicating inequities that need to be addressed.

Depressive and anxiety symptoms among Japanese cancer survivors: Japan cancer survivorship research project

BACKGROUND

This study aimed to clarify predictors of depressive symptoms and anxiety symptoms after cancer diagnosis among Japanese cancer survivors (CSs).

METHODS

As part of a Japanese cancer survivorship research project commissioned by the Ministry of Health, Labour and Welfare (MHLW) of Japan, we conducted a web-based nationwide survey of CSs in 2018. We analyzed the risk factors for depressive and anxiety symptoms, as measured by the Hospital Anxiety and Depression Scale Japanese version (HADS).

RESULTS

Of 1,234 Japanese CSs, mean score of HADS-depression and HADS-anxiety were 4.08 and 4.78, respectively. At the time of the study, the number of CSs with symptoms of depression and anxiety were 111 (9.0%) and 269 (21.8%), respectively. After multivariable analysis, CSs ≥ 60 years old (reference: ≤ 39 years old, odds ratios (OR): 0.39, 95%CI: 0.17-0.90) and those ≥ 10 years from cancer diagnosis (reference: 0-4 years, OR: 0.55, 95%CI: 0.32-0.96) had lower odds for depressive symptoms. And CSs ≥ 60 years old (reference: ≤ 39 years old, OR: 0.27, 95%CI: 0.15-0.49) and those ≥ 10 years from cancer diagnosis (reference: 0-4 years, OR: 0.62, 95%CI: 0.42-0.90) also had lower odds for anxiety symptoms. CSs who received chemotherapy (OR: 1.56, 95%CI: 1.10-2.20) had higher odds for anxiety symptoms.

CONCLUSIONS

Based on manifestation of symptoms, CSs who were younger, closer to the time of cancer diagnosis, had advanced-staged cancer, or received chemotherapy may be at higher risk for depressive or anxiety symptoms. Those CSs who have higher risk for depression and anxiety symptoms, should be followed-up more carefully for better cancer survivorship, by medical professionals, companies, and society.

Depression: Screening, Assessment, and Interventions in Oncology Nursing

BACKGROUND

A high prevalence of depression exists among individuals with cancer, which negatively affects their health outcomes, quality of life, and adherence to cancer treatment.

OBJECTIVES

This article provides an overview and synthesis of depression screening, assessment, and nonpharmacologic treatments to help oncology nurses in their practices.

METHODS

Key insights are presented from a synthesized literature review regarding patients with cancer with depression. Resources for patient treatment and nurse training are also provided.

FINDINGS

To improve patient outcomes, nurses need to understand and follow a process that addresses the screening, assessment, and nonpharmacologic treatment of depression in patients with cancer.

A cross-sectional gender-sensitive analysis of depressive symptoms in patients with advanced cancer

BACKGROUND

Patients with advanced cancer commonly report depressive symptoms. Examinations of gender differences in depressive symptoms in patients with advanced cancer have yielded inconsistent findings.

AIM

The objective of this study was to investigate whether the severity and correlates of depressive symptoms differ by gender in patients with advanced cancer.

DESIGN

Participants completed measures assessing sociodemographic and medical characteristics, disease burden, and psychosocial factors. Depressive symptoms were examined using the Patient Health Questionnaire, and other measures included physical functioning, symptom burden, general anxiety, death related distress, and dimensions of demoralization. A cross-sectional analysis examined the univariate and multivariate relationships between gender and depressive symptoms, while controlling for important covariates in multivariate analyses.

SETTING/PARTICIPANTS

Patients with advanced cancer (N = 305, 40% males and 60% females) were recruited for a psychotherapy trial from outpatient oncology clinics at a comprehensive cancer center in Canada.

RESULTS

Severity of depressive symptoms was similar for males (M = 7.09, SD = 4.59) and females (M = 7.66, SD = 5.01), t(303) = 1.01, p = 0.314. Greater general anxiety and number of cancer symptoms were associated with depressive symptoms in both males and females. Feeling like a failure (β = 0.192), less death anxiety (β = -0.188), severity of cancer symptoms (β = 0.166), and older age (β = 0.161) were associated with depressive symptoms only in males, while disheartenment (β = 0.216) and worse physical functioning (β = 0.275), were associated with depressive symptoms only in females.

CONCLUSIONS

Males and females report similar levels of depressive symptoms but the pathways to depression may differ by gender. These differences suggest the potential for gender-based preventive and therapeutic interventions in this population.

Mental health care in oncology. Contemporary perspective on the psychosocial burden of cancer and evidence-based interventions

With cancer incidence increasing over time worldwide, attention to the burden of psychiatric and psychosocial consequences of the disease is now mandatory for both cancer and mental health care professionals. Psychiatric disorders have been shown to affect at least 30-35% of cancer patients during all phases of the disease trajectory, and differ in nature according to stage and type of cancer. Other clinically relevant distressing psychosocial and existential conditions (e.g. demoralisation, health anxiety, loss of meaning and existential distress) not included as 'disorders' in the usual diagnostic and nosological systems (i.e. meta-diagnostic conditions) have also been shown to be present in another 15-20% of cancer patients. In this editorial, we will present a summary of the extensive literature regarding the epidemiology of the several psychosocial disorders affecting cancer patients as a cause of distress and burden to be taken into consideration and addressed in cancer care through evidence-based intervention.

Pilot testing of the first version of the European Association for Palliative Care basic dataset: A mixed methods study

BACKGROUND

Inadequate description of palliative care cancer patients in research studies often leads to results having limited generalizability. To standardize the description of the sample, the European Association for Palliative Care basic data set was developed, with 31 core demographic and disease-related variables.

AIM

To pilot test the data set to check acceptability, comprehensibility and feasibility.

DESIGN

International, multi-centre pilot study at nine study sites in five European countries, using mixed methods.

SETTING/PARTICIPANTS

Adult cancer patients and staff in palliative care units, hospices and home care.

RESULTS

In all, 191 patients (544 screened) and 190 health care personnel were included. Median time to fill in the patient form was 5 min and the health care personnel form was 7 min. Ethnicity was the most challenging item for patients and requires decisions at a national level about whether or how to include. Health care personnel found weight loss, principal diagnosis, additional diagnoses and stage of non-cancer diseases most difficult to respond to. Registration of diagnoses will be changed from International Statistical Classification of Diseases and Related Health Problems, 10th version code to a predefined list, while weight loss and stage of non-cancer diseases will be removed. The pilot study has led to rewording of items, improvement in response options and shortening of the data set to 29 items.

CONCLUSION

Pilot testing of the first version of the European Association for Palliative Care basic data set confirmed that patients and health care personnel understand the questions in a consistent manner and can answer within an acceptable timeframe. The pilot testing has led to improvement, and the new version is now subject to further testing.

The Palliative Radiotherapy and Inflammation Study (PRAIS) - protocol for a longitudinal observational multicenter study on patients with cancer induced bone pain

BACKGROUND

Radiation therapy (RT) results in pain relief for about 6 of 10 patients with cancer induced bone pain (CIBP) caused by bone metastases. The high number of non-responders, the long median time from RT to pain response and the risk of adverse effects, makes it important to determine predictors of treatment response. Clinical features such as cancer type, performance status and pain intensity, and biomarkers for osteoclast activity are proposed as predictors of response to RT. However, results are inconsistent and there is a need for better predictors of RT response. A similar argument can be stated for the development of cachexia; there are currently no predictors that can identify patients who will develop cachexia later in the cancer disease trajectory. Experimental and preclinical studies show that pain, depression and cachexia are related to inflammation. However, it is not known if inflammatory biomarkers can predict CIBP, depression or development of cachexia.

METHODS

This multicenter, multinational longitudinal observational study will include 600 adult patients receiving RT for CIBP. Demographic data, clinical variables, osteoclast and inflammatory biomarkers will be assessed before start of RT, and 3, 8, 16, 24 and 52 weeks after last course of RT. The primary aim of the study is to identify potential predictors for pain relief from RT. Secondary aims are to explore potential predictors for development of cachexia, the longitudinal relationship between pain intensity and depression, and if inflammatory biomarkers are associated with changes in pain intensity, cachexia and depression during one-year follow up.

DISCUSSION

The immediate clinical implication of the PRAIS study is to identify potential predictive factors for a RT response on CIBP, and thereby reduce non-efficacious RT. Patient benefits are fewer hospital visits, reduced risk of adverse effects and more individualized pain treatment. The long-term clinical implication of the PRAIS study is to improve the knowledge about inflammation in relation to CIBP, cachexia and depression and potentially identify associations and mechanisms that can be targeted for treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02107664 , date of registration April 8, 2014 (retrospectively registered).

TRIAL SPONSOR

The European Palliative Care Research Centre (PRC), Department of Clinical and Molecular Medicine, NTNU, Faculty of medicine and Health Sciences, Trondheim, N-7491, Norway.

The burden of psychosocial morbidity related to cancer: patient and family issues

With cancer incidence increasing over time, attention to the burden of related psychiatric and psychosocial consequences of the disease and treatment is a major topic for both cancer patients and their caregivers. Among cancer patients, psychiatric (e.g. adjustment, anxiety, depressive disorders) and neuropsychiatric disorders (e.g. cognitive disorders secondary to treatment, delirium) have been shown to affect an average of 30-35% patients, with differences according to stage and type of cancer. Also other psychosocial syndromes (e.g. demoralization, health anxiety, irritable mood) not taken into account in usual nosological systems should be considered for their impact on the patient's quality-of-life. Also, it has been repeatedly reported that psychological distress reverberates substantially throughout the nuclear family, and that a family approach is necessary in cancer care, with the caregiver-patient dyad as a unit to be the focus and direction of assessment and intervention. In this review the most significant psychosocial disorders causing burden for cancer patients and their caregivers are examined, and the main methods of assessment for more proper referral and treatment are summarized.

Patients in palliative care-Development of a predictive model for anxiety using routine data

Introduction

Anxiety is one of the most common psychological symptoms in patients in a palliative care situation. This study aims to develop a predictive model for anxiety using data from the standard documentation routine.

Methods

Data sets of palliative care patients collected by the German quality management benchmarking system called Hospice and Palliative Care Evaluation (HOPE) from 2007 to 2011 were randomly divided into a training set containing two-thirds of the data and a test set with the remaining one-third. We dichotomized anxiety levels, proxy rated by medical staff using the validated HOPE Symptom and Problem Checklist, into two groups with no or mild anxiety versus moderate or severe anxiety. Using the training set, a multivariable logistic regression model was developed by backward stepwise selection. Predictive accuracy was evaluated by the area under the receiver operating characteristic curve (AUC) based on the test set.

Results

An analysis of 9924 data sets suggests a predictive model for anxiety in patients receiving palliative care which contains gender, age, ECOG, living situation, pain, nausea, dyspnea, loss of appetite, tiredness, need for assistance with activities of daily living, problems with organization of care, medication with sedatives/anxiolytics, antidepressants, antihypertensive drugs, laxatives, and antibiotics. It results in a fair predictive value (AUC = 0.72).

Conclusions

Routinely collected data providing individual-, disease- and therapy-related information contain valuable information that is useful for the prediction of anxiety risks in patients receiving palliative care. These findings could thus be advantageous for providing appropriate support for patients in palliative care settings and should receive special attention in future research.

Depressive spectrum disorders in cancer: prevalence, risk factors and screening for depression: a critical review

BACKGROUND

Although depression and mood-related disorders are common in persons with cancer, these conditions remain frequently overlooked in clinical practice. Negative consequences of depressive disorder spectrum have been reported (e.g. suicidal ideation, increase physical complications and somatic symptoms, negative influence on prognosis), indicating the need for routine screening, assessment and management.

METHODS

A search of the major databases (Medline, Embase, PsycLIT, PsycINFO, and the Cochrane Library) was conducted on the reviews and meta-analyses available in order to summarize relevant data concerning depressive disorders spectrum in terms of prevalence, risk factors, and screening and assessment among patients with cancer across the trajectory of the disease.

RESULTS

The data show a prevalence of depression and depressive disorders between 5% and 60% according to the different diagnostic criteria, the tools used in the studies (e.g. semi-structured psychiatric interview and psychometric questionnaires), as well as the stage and type of cancer. Furthermore, despite the significant health care resources devoted to cancer care and the importance of addressing depressive symptoms, assessment and management of depressive spectrum disorders in cancer patients remains suboptimal.

CONCLUSIONS

Routine screening and adequate assessment of depressive spectrum disorders is necessary in patients with cancer in order to effectively manage the multifaceted and complex consequences on cancer care.

Piperazine scaffold: A remarkable tool in generation of diverse pharmacological agents

Piperazine is one of the most sought heterocyclics for the development of new drug candidates. This ring can be traced in a number of well established, commercially available drugs. Wide array of pharmacological activities exhibited by piperazine derivatives have made them indispensable anchors for the development of novel therapeutic agents. The review herein highlights the therapeutic significance of piperazine derivatives. Various therapeutically active piperazine derivatives developed by several chemists are reported here.

Patient-reported depression measures in cancer: a meta-review

The patient-reported depression measures that perform best in oncology settings have not yet been identified. We did a meta-review to integrate the findings of reviews of more than 50 depression measures used in adults with, or recovering from, any type of cancer. We searched Medline, PsycINFO, Embase, and grey literature from 1999 to 2014 to identify 19 reviews representing 372 primary studies. 11 reviews were rated as being of high quality (defined as meeting at least 20 criteria in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement). The Hospital Anxiety Depression Scale (HADS) was the most thoroughly evaluated measure, but was limited by cutpoint variability. The HADS had moderate screening utility indices and was least recommended in advanced cancer or palliative care. The Beck Depression Inventory was more generalisable across cancer types and disease stages, with good indices for screening and case finding. The Center for Epidemiologic Studies Depression Scale was the best-weighted measure in terms of responsiveness. This meta-review provides a comprehensive overview of the strengths and limitations of available depression measures. It can inform the choice of the best measure for specific settings and purposes.

Depression in advanced cancer--assessment challenges and associations with disease load

BACKGROUND

Patients with advanced cancer commonly experience multiple somatic symptoms and declining functioning. Some highly prevalent symptoms also overlap with diagnostic symptom-criteria of depression. Thus, assessing depression in these patients can be challenging. We therefore investigated 1) the effect of different scoring-methods of depressive symptoms on detecting depression, and 2) the relationship between disease load and depression amongst patients with advanced cancer.

METHODS

The sample included 969 patients in the European Palliative Care Research Collaborative-Computer Symptom Assessment Study (EPCRC-CSA). Inclusion criteria were: incurable metastatic/locally advanced cancer and ≥ 18 years. Biomarkers and length of survival were registered from patient-records. Depression was assessed using the Patient Health Questionnaire (PHQ-9) and applying three scoring-methods: inclusive (algorithm scoring including the somatic symptom-criteria), exclusive (algorithm scoring excluding the somatic symptom-criteria) and sum-score (sum of all symptoms with a cut-off ≥ 8).

RESULTS

Depression prevalence rates varied according to scoring-method: inclusive 13.7%, exclusive 14.9% and sum-score 45.3%. Agreement between the algorithm scoring-methods was excellent (Kappa = 0.81), but low between the inclusive and sum scoring-methods (Kappa = 0.32). Depression was significantly associated with more pain (OR-range: 1.09-1.19, p < 0.001-0.04) and lower performance status (KPS-score, OR-range = 0.68-0.72, p < 0.001) irrespective of scoring-method.

LIMITATIONS

Depression was assessed using self-report, not clinical interviews.

CONCLUSIONS

The scoring-method, not excluding somatic symptoms, had the greatest effect on assessment outcomes. Increasing pain and poorer than expected physical condition should alert clinicians to possible co-morbid depression. The large discrepancy in prevalence rates between scoring-methods reinforces the need for consensus and validation of depression definitions and assessment in populations with high disease load.

Depressive symptoms in the last days of life of patients with cancer: a nationwide retrospective mortality study

OBJECTIVES

Depressive symptoms are common in patients with cancer and tend to increase as death approaches. The study aims were to examine the prevalence of depressive symptoms in patients with cancer in their final 24 h, and their association with other symptoms, sociodemographic and care characteristics.

METHODS

A stratified sample of deaths was drawn by Statistics Netherlands. Questionnaires on patient and care characteristics were sent to the physicians (N=6860) who signed the death certificates (response rate 77.8%). Adult patients with cancer with non-sudden death were included (n=1363). Symptoms during the final 24 h of life were assessed on a 1-5 scale and categorised as 1=no, 2-3=mild/moderate and 4-5=severe/very severe.

RESULTS

Depressive symptoms were registered in 37.6% of the patients. Patients aged 80 years or more had a reduced risk of having mild/moderate depressive symptoms compared with those aged 17-65 years (OR 0.70; 95% CI 0.50 to 0.99). Elderly care physicians were more likely to assess patients with severe/very severe depressive symptoms than patients with no depressive symptoms (OR 4.18; 95% CI 1.48 to 11.76). Involvement of pain specialists/palliative care consultants and psychiatrists/psychologists was associated with more ratings of severe/very severe depressive symptoms. Fatigue and confusion were significantly associated with mild/moderate depressive symptoms and anxiety with severe/very severe symptoms.

CONCLUSIONS

More than one-third of the patients were categorised with depressive symptoms during the last 24 h of life. We recommend greater awareness of depression earlier in the disease trajectory to improve care.