The impact of patient age on clinical decision-making in oncology

Outcomes from a single institution cohort of 248 patients with stage I-III esophageal cancer treated with radiotherapy: Comparison of younger and older populations

Outcomes for patients receiving radiotherapy (RT) for non-metastatic esophageal cancer at a single institution were assessed, as well as the impact of factors including age and intensity modulated RT (IMRT) planning on patient outcomes. A retrospective cohort of patients treated with RT for stage I-III esophageal cancer between 2010 and 2018 was identified. Among 248 identified patients, 28 % identified as older (≥75 years of age). Other than histology, there were no other statistically significant differences in patient and tumour characteristics between the younger and older populations. Treatments varied between the two age groups, with significantly less older patients completing trimodality treatments (17 % vs 58 %). Median overall survival (M-OS) and progression-free survival (M-PFS) were 20 months and 12 months for all patients and 40 months and 26 months for trimodality patients, respectively. In the older patients, the M-OS improved from 13 months for all to 34 months for trimodality patients; and M-PFS from 10 months to 16 months. On multivariate analysis, the use of trimodality therapy showed improved OS (HR 0.26, p < 0.001). In the non-surgical older patient group, significantly better survival was seen in patients who had a heart V30Gy under 46 %. There was no significant difference in M-OS in patients planned with IMRT compared with 3D-conformal RT. Clinical outcomes in the treatment of esophageal cancer vary significantly by treatment approach, with the most favourable results in those receiving trimodality therapy. Among older patients deemed fit after assessment by the multidisciplinary team for trimodality treatments, the M-OS is comparable to the younger patient group.

Surgeon preference for treatment allocation in older people facing major gastrointestinal surgery: an application of the discrete choice experiment methodology

AIM

Variation in major gastrointestinal surgery rates in the older population suggests heterogeneity in surgical management. A higher prevalence of comorbidities, frailty and cognitive impairments in the older population may account for some variation. The aim of this study was to determine surgeon preference for major surgery versus conservative management in hypothetical patient scenarios based on key attributes.

METHOD

A survey was designed according to the discrete choice methodology guided by a separate qualitative study. Questions were designed to test for associations between key attributes (age, comorbidity, urgency of presentation, pathology, functional and cognitive status) and treatment preference for major gastrointestinal surgery versus conservative management. The survey consisting of 18 hypothetical scenarios was disseminated electronically to UK gastrointestinal surgeons. Binomial logistic regression was used to identify associations between the attributes and treatment preference.

RESULTS

In total, 103 responses were received after 256 visits to the questionnaire site (response rate 40.2%). Participants answered 1847 out of the 1854 scenarios (99.6%). There was a preference for major surgery in 1112/1847 (60.2%) of all scenarios. Severe comorbidities (OR 0.001, 95% CI 0.000-0.030; P = 0.000), severe cognitive impairment (OR 0.001, 95% CI 0.000-0.033; P = 0.000) and age 85 years and above (OR 0.028, 95% CI 0.005-0.168; P = 0.000) were all significant in the decision not to offer major gastrointestinal surgery.

CONCLUSION

This study has demonstrated variation in surgical treatment preference according to key attributes in hypothetical scenarios. The development of fitness-stratified guidelines may help to reduce variation in surgical practice in the older population.

Risk factors for falls in hospitalized patients with cancer: A systematic review and meta-analysis

A primary cancer diagnosis has been confirmed as an important risk factor for falls, and the incidence of falls has been shown to be higher in patients who have undergone cancer treatment than in those who have not undergone cancer treatment. Falls during hospitalization increase the medical costs of additional treatment and falls-related mortality. Many falls are preventable and a good understanding of the predictors of falls in this population is needed. However, the risk factors for falls have not yet been identified. The purpose of this review was to identify the risk factors for falls in hospitalized patients with cancer. Eleven English and Chinese electronic databases were searched from their inception to April 2022 and the methodological quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Five studies involving 1237 patients with cancer were included. The meta-analysis identifies eleven risk factors for falls in hospitalized patients with cancer, including age, history of falls, opiates, benzodiazepines, steroids, antipsychotics, sedatives, radiation therapy, chemotherapy, the use of an assistive device and length of hospitalization. Based on the evidence presented in this article, healthcare workers have the capacity to help reduce fall risk through the development of preventive support strategies in this population. Multicenter, prospective studies of patients with cancer should be conducted to further identify and validate their risk factors for falls.

Adjuvant chemotherapy and HER-2-directed therapy for early-stage breast cancer in the elderly

There is a lack of sufficient evidence-based data defining the optimal adjuvant systemic therapies in older women. Recommendations are mainly based on retrospective studies, subgroup analyses within larger randomised trials and expert opinion. Treatment decisions should consider the functional fitness of the patient, co-morbidities, in addition to chronological age with the aim to balance risks and potential benefits from treatment(s). In this review, we discuss assessment tools to aid clinicians to select elderly patients who are ‘fit' for chemotherapy, and review the literature on the use of chemotherapy and of the anti-HER 2 antibody trastuzumab in this population. We will also review two commonly used prediction models to assess their accuracy in predicting survival outcomes in elderly patients. Ongoing clinical trials specifically focusing on older patients may help to clarify the absolute benefits and risks of adjuvant systemic therapy in this age group.