Patient Preferences for Treatment Outcomes in Oncology with a Focus on the Older Patient:A Systematic Review

SIMPLE SUMMARY: In oncology, treatment outcomes can be competing, which means that one treatment could benefit one outcome, like survival, and negatively influence another, like independence. The choice of treatment therefore depends on the patient’s preference for outcomes, which needs to be assessed explicitly. Especially in older patients, patient preferences are important. Our systematic review summarizes all studies that assessed patient preferences for various treatment outcome categories. A total of 28 studies with 4374 patients were included, of which only six studies included mostly older patients. Although quality of life was only included in half of the studies, overall quality of life (79%) was most frequently prioritized as highest or second highest, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), treatment response (50%), and absence of transient short-term side effects (16%). In shared decision-making, these results can be used by healthcare professionals to better tailor the information provision and treatment recommendations to the individual patient. ABSTRACT: For physicians, it is important to know which treatment outcomes are prioritized overall by older patients with cancer, since this will help them to tailor the amount of information and treatment recommendations. Older patients might prioritize other outcomes than younger patients. Our objective is to summarize which outcomes matter most to older patients with cancer. A systematic review was conducted, in which we searched Embase and Medline on 22 December 2020. Studies were eligible if they reported some form of prioritization of outcome categories relative to each other in patients with all types of cancer and if they included at least three outcome categories. Subsequently, for each study, the highest or second-highest outcome category was identified and presented in relation to the number of studies that included that outcome category. An adapted Newcastle–Ottawa Scale was used to assess the risk of bias. In total, 4374 patients were asked for their priorities in 28 studies that were included. Only six of these studies had a population with a median age above 70. Of all the studies, 79% identified quality of life as the highest or second-highest priority, followed by overall survival (67%), progression- and disease-free survival (56%), absence of severe or persistent treatment side effects (54%), and treatment response (50%). Absence of transient short-term side effects was prioritized in 16%. The studies were heterogeneous considering age, cancer type, and treatment settings. Overall, quality of life, overall survival, progression- and disease-free survival, and severe and persistent side effects of treatment are the outcomes that receive the highest priority on a group level when patients with cancer need to make trade-offs in oncologic treatment decisions

Loss of skeletal muscle density during neoadjuvant chemotherapy in older women with advanced stage ovarian cancer is associated with postoperative complications

Objective: To assess the association between loss of lumbar skeletal muscle mass and density during neoadjuvant chemotherapy (NACT) and postoperative complications after interval cytoreductive surgery (CRS) in older patients with ovarian cancer. Materials and methods: This multicenter, retrospective cohort study included patients aged 70 years and older with primary advanced stage ovarian cancer (International Federation of Gynecology and Obstetrics stage III-IV), treated with NACT and interval CRS. Skeletal muscle mass and density were retrospectively assessed using Skeletal Muscle Index (SMI) and Muscle Attenuation (MA) on routinely made Computed Tomography scans before and after NACT. Loss of skeletal muscle mass or density was defined as >2% decrease per 100 days in SMI or MA during NACT. Results: In total, 111 patients were included. Loss of skeletal muscle density during NACT was associated with developing any postoperative complication ≤30 days after interval CRS both in univariable (Odds Ratio (OR) 3.69; 95% Confidence Interval (CI) 1.57–8.68) and in multivariable analysis adjusted for functional impairment and WHO performance status (OR 3.62; 95%CI 1.27–10.25). Loss of skeletal muscle density was also associated with infectious complications (OR 3.67; 95%CI 1.42–9.52) and unintended discontinuation of adjuvant chemotherapy (OR 5.07; 95%CI 1.41–18.19). Unlike loss of skeletal muscle density, loss of skeletal muscle mass showed no association with postoperative outcomes. Conclusion: In older patients with ovarian cancer, loss of skeletal muscle density during NACT is associated with worse postoperative outcomes. These results could add to perioperative risk assessment, guiding the decision to undergo surgery or the need for perioperative interventions

First-line palliative HER2-targeted therapy in HER2-positive metastatic breast cancer is less effective after previous adjuvant trastuzumab-based therapy

Background. Survival of patients with human epidermal growth receptor 2 (HER2)-positive metastatic breast cancer (MBC) has improved dramatically since trastuzumab has become available, although the disease eventually progresses in most patients. This study investigates the outcome (overall survival [OS] and time to next treatment [TNT]) in MBC patients pretreated with trastuzumab in the adjuvant setting (TP-group) compared with trastuzumab-näive patients (TN-group) in order to investigate the possibility of trastuzumab resistance. Patients and Methods. Patients treated with first-line HER2-targeted- containing chemotherapy were eligible for the study. A power analysis was performed to estimate the minimum size of the TP-group. OS and TNT were estimated using Kaplan-Meier curves andmultivariable Cox proportional hazards models. Results. Between January 1, 2000, and June 1, 2014, 469 patients were included, of whom 82 were in the TP-group and 387 were in the TN-group. Median OS and TNT were significantly worse in the TP-group compared with the TN-group (17 vs. 30 months, adjusted hazard ratio [HR] 1.84 [1.15-2.96], p5.01 and 7 vs. 13 months, adjusted HR 1.65 [1.06-2.58], p5.03) after adjustment for age, year of diagnosis, diseasefree interval, hormone receptor status, metastatic site, and cytotoxic regimens. Conclusion. First-line trastuzumab-containing treatment regimens are less effective in patients with failure of adjuvant trastuzumab compared with trastuzumab-näive patients and might be due to trastuzumab resistance. The impact of trastuzumab resistance on the response on dual HER2 blockade with trastuzumab and pertuzumab and how resistance mechanisms can be used in the optimization of HER2-targeted treatment lines need further investigation.</p

A Prospective Comparison of Younger and Older Patients' Preferences for Adjuvant Chemotherapy and Hormonal Therapy in Early Breast Cancer

AbstractBackgroundIt is unknown what minimal benefit in disease-free survival older patients with breast cancer require from adjuvant systemic therapy, and if this differs from that required by younger patients. We prospectively examined patients' preferences for adjuvant chemotherapy (aCT) and adjuvant hormonal therapy (aHT), factors related to minimally-required benefit, and patients' self-reported motivations.Patients and MethodsFifty-two younger (40-64 years) and 29 older (≥ 65 years) women with a first primary, invasive tumor were interviewed post-surgery, prior to receiving aCT/aHT recommendation.ResultsThe proportions of younger versus older participants who would accept, refuse, or were undecided about therapy were 92% versus 62%, 4% versus 24%, and 4% versus 14% for aCT, and 92% versus 59%, 8% versus 17%, and 0% versus 24% for aHT. The proportion of older participants who would refuse rather than accept aCT was larger than that of younger participants (P = .005). No significant difference was found for aHT (P = .12). Younger and older participants' minimally-required benefit, in terms of additional 10-year disease-free survival, to accept aCT (median, 5% vs. 4%; P = .13) or aHT (median, 10% vs. 8%; P = .15) did not differ. Being single/divorced/widowed (odds ratio [OR], 0.16; P = .005), presence of geriatric condition (inability to perform daily activities, incontinence, severe sensory impairment, depression, polypharmacy, difficulties with walking; OR, 0.27; P = .047), and having a preference to make the treatment decision either alone or after considering the clinician's opinion (active role; OR, 0.15; P = .012) were independently related to requiring larger benefits from aCT. The most frequent motivations for/against therapy included the wish to survive/avoid recurrence, clinician's recommendation, side effects, and treatment duration (only aHT).ConclusionWhereas older participants were less willing to accept aCT than younger participants, no significant difference was found for aHT. However, a majority of older participants would still accept both therapies. Adjuvant systemic therapy should be discussed with eligible patients regardless of age

Medication optimization in older adults with advanced cancer and a limited life expectancy:A prospective observational study

Introduction: Polypharmacy is common in older adults with cancer and is associated with drug related problems (DRPs) and potentially inappropriate medication (PIM). We introduced a medication optimization care pathway for older adults with advanced cancer and a limited life expectancy and studied the prevalence of DRPs and PIMs as well as the adherence to medication-related recommendations and the patient satisfaction. Materials and Methods: A medication review was performed in patients aged ≥65 years with polypharmacy and a life expectancy of &lt;24 months. Recommendations on adjustments of medication were discussed in a multidisciplinary team including a pharmacist, an oncologist, and a geriatrician. Implementation of the recommendations was left to the discretion of the oncologist. Four weeks after the implementation, the patient filled a questionnaire to assess satisfaction. Results: One hundred twenty patients were included. The mean age was 75 years and 39% were female. A mean of 12 medications was used. The median number of DRP was 6.0 per patient and median number of PIMs was 3.0 per patient. Overtreatment accounted for 26% of DRP and the most frequently involved drug classes were antihypertensive medication (22%), non-opioid analgesics (22%), and antilipemics (12%). The multidisciplinary team accepted 78% of the recommendations of the pharmacist and the oncologist implemented 54% of the recommendations. Overall, patients were satisfied or very satisfied with the intervention. Discussion: DRPs and PIMs are highly prevalent in this population and can be reduced by a multidisciplinary medication optimization intervention. Patients appreciate the medication optimization intervention and are satisfied with the intervention.</p

Table générale du tome XIX (1978)

Table générale du tome XIX (1978). In: Tiers-Monde, tome 19, n°76, 1978. pp. 915-919

The cancer burden in the oldest-old:Increasing numbers and disparities—A nationwide study in the Netherlands, 1990 to 2019

Adults aged ≥80 years (the oldest-old) comprise the fastest growing age group in Western populations. Yet little is known about their cancer burden. In this nationwide study, we assessed their trends in incidence, treatment and survival over a 30-year period, and predicted their future cancer incidence. All 2 468 695 incident cancer cases during 1990 to 2019 were selected from the Netherlands Cancer Registry, of whom 386 611 were diagnosed in the oldest-old (16%). The incidence of the oldest-old was predicted until 2032. Net and overall survival (OS) were calculated. Patients were divided into four age groups (&lt;80, 80-84, 85-89 and ≥90 years). The incidence of the oldest-old doubled between 1990 and 2019 and is expected to grow annually with 5% up to 2032. In virtually all cancers the share of oldest-old patients grew, but declined for prostate cancer (25% in 1990-1994 vs 13% in 2015-2019). The proportion of undetermined disease stage increased with age in most cancers. The application of systemic therapy increased, albeit less pronounced in the oldest-old than their younger counterparts (1990 vs 2019: 12%-34%, 3%-15%, 2%-7% and 1%-3% in &lt;80, 80-84, 85-89 and ≥90 years old). Five-year OS of the oldest-old patients increased by 7 percentage points (to 26%) between 1990 to 1994 and 2015 to 2019 compared to 19 percentage points (to 63%) in &lt;80 years old. The oldest-old cancer patients are a rapidly growing group who benefitted less from improvements in cancer treatment than younger patients, reflecting the multiple challenges faced in the care of the oldest-old.</p

Shared decision-making with older adults with cancer:Adaptation of a model through literature review and expert opinion

Objective: To provide a literature overview of characteristics of Shared Decision Making (SDM) with specific importance to the older adult population with cancer and to tailor an existing model of SDM in patients with cancer to the needs of older adults. Methods: A systematic search of several databases was conducted. Eligible studies described factors influencing SDM concerning cancer treatment with adults aged 65 years or above, with any type of cancer. We included qualitative or mixed-methods studies. Themes were identified and discussed in an expert panel, including a patient-representative, until consensus was reached on an adjusted model. Results: Overall 29 studies were included and nine themes were identified from the literature. The themes related to the importance of goal setting, need for tailored information provision, the role of significant others, uncertainty of evidence, the importance of time during and outside of consultations, the possible ill-informed preconceptions that health care professionals (HCPs) might have about older adults and the specific competencies they need to engage in the SDM process with older adults. No new themes emerged from discussion with expert panel. This study presents a visual model of SDM with older patients with cancer based on the identified themes. Conclusions: Our model shows key elements that are specific to SDM with older adults. Further research needs to focus on how to educate HCPs on the competencies needed to engage in SDM with older patients, and how to implement the model into everyday practice.</p