Development and adaptations of the Graded Prognostic Assessment (GPA) scale: a systematic review.

The Graded Prognostic Assessment (GPA) score has the best accuracy among prognostic scales for patients with brain metastases (BM). A wide range of GPA-derived scales have been established to different types of primary tumor BM. However, there is a high variability between them, and their characteristics have not been described altogether yet. We aim to summarize the features of the existent GPA-derived scales and to compare their predictor factors and their uses in clinical setting. Medline was searched from inception until January 2023 to identify studies related to the development, update, or validation of GPA. The initial search yielded 1,083 results. 16 original studies and 16 validation studies were included, comprising a total of 33,348 patients. 13 different scales were assessed, including: GPA, Diagnosis-Specific GPA, Extracranial Score, Lung-molGPA, Updated Renal GPA, Updated Gastrointestinal GPA, Modified Breast GPA, Integrated Melanoma GPA, Melanoma Mol GPA, Sarcoma GPA, Hepatocellular Carcinoma GPA, Colorectal Cancer GPA, and Uterine Cancer GPA. The most prevalent prognostic predictors were age, Karnofsky Performance Status, number of BM, and presence or absence of extracranial metastases. Treatment modalities consisted of whole brain radiation therapy, stereotactic radiosurgery, surgery, cranial radiotherapy, gamma knife radiosurgery, and BRAF inhibitor therapy. Median survival rates with no treatment and with a specific treatment ranged from 6.1 weeks to 33 months and from 3.1 to 21 months, respectively. Original GPA and GPA-derived scales are valid prognostic tools, but with heterogeneous survival results when compared to each other. More studies are needed to improve scientific evidence of these scales.

Prognostic assessment in patients operated for brain metastasis from systemic tumors.

BACKGROUND: Established models for prognostic assessment in patients with brain metastasis do not stratify for prior surgery. Here we tested the prognostic accuracy of the Graded Prognostic Assessment (GPA) score model in patients operated for BM and explored further prognostic factors. METHODS: We included 285 patients operated for brain metastasis at the University Hospital Zurich in the analysis. Information on patient characteristics, imaging, staging, peri- and postoperative complications and survival were extracted from the files and integrated into a multivariate Cox hazard model. RESULTS: The GPA score showed an association with outcome. We further identified residual tumor after surgery (p = 0.007, hazard ratio (HR) 1.6, 95% confidence interval (CI) 1.1-2.3) steroid use (p = 0.021, HR 1.7, 95% CI 1.1-2.6) and number of extracranial metastasis sites (p = 0.009, HR 1.4, 95% CI 1.1-1.6) at the time of surgery as independent prognostic factors. A trend was observed for postoperative infection of the subarachnoid space (p = 0.102, HR 3.5, 95% CI 0.8-15.7). CONCLUSIONS: We confirm the prognostic capacity of the GPA score in a cohort of operated patients with brain metastasis. However, extent of resection and steroid use provide additional aid for the prognostic assessment in these patients.

Evaluation of the key geriatric assessment constructs in primary brain tumor population - a descriptive study.

INTRODUCTION: Despite an increasing aging population, older adults (≥ 65 years) with primary brain tumors (PBTs) are not routinely assessed for geriatric vulnerabilities. Recent reports of geriatric assessment (GA) in patients with glioblastomas demonstrated that GA may serve as a sensitive prognosticator of overall survival. Yet, current practice does not include routine evaluation of geriatric vulnerabilities and the relevance of GA has not been previously evaluated in broader cohorts of PBT patients. The objective of this descriptive study was to assess key GA constructs in adults with PBT dichotomized into older versus younger groups. MATERIALS AND METHODS: A cross-sectional analysis of data collected from 579 participants with PBT recruited between 2016 and 2020, dichotomized into older (≥ 65 years, n = 92) and younger (≤ 64 years, n = 487) from an ongoing observational trial. GA constructs were evaluated using socio-demographic characteristics, Charlson Comorbidity Index (CCI), polypharmacy (>5 daily medications), Karnofsky Performance Status (KPS), Neurologic Function Score (NFS), and patient-reported outcome assessments including general health, functional status, symptom burden and interference, and mood. Descriptive statistics, t-tests, chi-square tests, and Pearson correlations were used to evaluate differences between age groups. RESULTS: Older participants were more likely to have problems with mobility (58% vs. 44%), usual activities (64% vs 50%) and self-care (38% vs 26%) compared to the younger participants (odds ratios [ORs] = 1.3-1.4, ps < 0.05), while older participants were less likely to report feeling distressed (OR = 0.4, p < 0.05). Older participants also had higher CCI and were more likely to have polypharmacy (OR = 1.7, ps < 0.05). Increasing age strongly correlated with worse KPS score (r = -0.232, OR = 1.4, p < 0.001) and worse NFS (r = 0.210, OR = 1.5, p < 0.001). No differences were observed in overall symptom burden, symptom interference, and anxiety/depression scores. DISCUSSION: While commonly used GA tools were not available, the study employed patient- and clinician-reported outcomes to identify potential future research directions for the use of GA in the broader neuro-oncology population. Findings illustrate missed opportunities in neuro-oncology practice and underscore the need for incorporation of GA into routine care of this population. Future studies are warranted to further evaluate the prognostic utility of GA and to better understand functional aging outcomes in this patient population.

Comprehensive assessment during palliative radiotherapy consultation optimizes supportive care for patients with advanced breast cancer.

PURPOSE: Palliative radiotherapy (PRT) in advanced cancer improves symptom control and quality of life. PRT consultations take place in various clinical settings, including through dedicated rapid access clinics. We examined holistic assessment and PRT delivery by consultation setting. METHODS: We analyzed patients with breast cancer who died (01/04/2013-31/03/2014), after at least one lifetime PRT consultation. Data abstracted included Karnofsky Performance Status (KPS), Edmonton Symptom Assessment System Revised (ESAS-r) ratings, and PRT timelines. Descriptive statistics, t tests of proportions, independent t tests, and chi-square tests were calculated. RESULTS: One hundred thirty patients were assessed for PRT over 224 consults, 28/224 (12.5%) in the rapid access clinic. In non-rapid access versus rapid access visits, KPS was documented in 30.1% versus 89.3%, and medication history in 53.6% versus 96.4%, respectively (both p < 0.0001). Baseline ESAS-r scores were available for 67.9% of rapid access visits, versus no non-rapid access visit. Rapid access consults had a higher proportion of subsequent supportive care referrals (46.4% versus 8.2%; p < 0.0001). Same day PRT start occurred in 37% of rapid access versus 23.4% of non-rapid access visits (p = 0.13). CONCLUSIONS: Assessment for PRT by a dedicated multidisciplinary team provides a comprehensive picture of patient needs and streamlines PRT delivery, essential to personalizing supportive care.

Novel Predictive Models for High-Value Care Outcomes Following Glioblastoma Resection.

BACKGROUND: Treating patients with glioblastoma (GBM) requires extensive medical infrastructure. Individualized risk assessment for extended length of stay (LOS), nonroutine discharge disposition, and increased total hospital charges is critical to optimize delivery of care. Our study sought to develop predictive models identifying independent risk factors for these outcomes. METHODS: We retrospectively reviewed patients undergoing GBM resection at our institution between January 2017 and September 2020. Extended LOS and elevated hospital charges were defined as values in the upper quartile of the cohort. Nonroutine discharge was defined as any disposition other than to home. Multivariate models for each outcome included covariates demonstrating P ≤ 0.10 on bivariate analysis. RESULTS: We identified 265 patients undergoing GBM resection, with an average age of 58.2 years. 24.5% of patients experienced extended LOS, 22.6% underwent nonroutine discharge, and 24.9% incurred elevated total hospital charges. Decreasing Karnofsky Performance Status (KPS) (P = 0.004), increasing modified 5-factor frailty (mFI-5) index (P = 0.012), lower surgeon experience (P = 0.005), emergent surgery (P < 0.0001), and larger tumor volume (P < 0.0001) predicted extended LOS. Independent predictors of nonroutine discharge included older age (P = 0.02), decreasing KPS (P < 0.0001), and emergent surgery (P = 0.048). Nonprivate insurance (P = 0.011), decreasing KPS (P = 0.029), emergent surgery (P < 0.0001), and larger tumor volume (P = 0.004) predicted elevated hospital charges. These models were incorporated into an open-access online calculator (https://neurooncsurgery3.shinyapps.io/gbm_calculator/). CONCLUSIONS: Several factors were independent predictors for at least 1 high-value care outcome, with lower KPS and emergent admission associated with each outcome. These models and our calculator may help clinicians provide individualized postoperative risk assessment to glioblastoma patients.

Life expectancy in older adults with advanced cancer: Evaluation of a geriatric assessment-based prognostic model.

OBJECTIVES: Oncologists estimate patients' prognosis to guide care. Evidence suggests oncologists tend to overestimate life expectancy, which can lead to care with questionable benefits. Information obtained from geriatric assessment may improve prognostication for older adults. In this study, we created a geriatric assessment-based prognostic model for older adults with advanced cancer and compared its performance to alternative models. MATERIALS AND METHODS: We conducted a secondary analysis of a trial (URCC 13070; PI: Mohile) capturing geriatric assessment and vital status up to one year for adults age ≥ 70 years with advanced cancer. Oncologists estimated life expectancy as 0-6 months, 7-12 months, and > 1 year. Three statistical models were developed: (1) a model including age, sex, cancer type, and stage (basic model), (2) basic model + Karnofsky Performance Status (≤50, 60-70, and 80+) (KPS model), and (3) basic model +16 binary indicators of geriatric assessment impairments (GA model). Cox regression was used to model one-year survival; c-indices and time-dependent c-statistics assessed model discrimination and stratified survival curves assessed model calibration. RESULTS: We included 484 participants; mean age was 75; 48% had gastrointestinal or lung cancer. Overall, 43% of patients died within one year. Oncologists classified prognosis accurately for 55% of patients, overestimated for 35%, and underestimated for 10%. C-indices were 0.61 (basic model), 0.62 (KPS model), and 0.63 (GA model). The GA model was well-calibrated. CONCLUSIONS: The GA model showed moderate discrimination for survival, similar to alternative models, but calibration was improved. Further research is needed to optimize geriatric assessment-based prognostic models for use in older adults with advanced cancer.

Geriatric-assessment-identified functional deficits among adults with multiple myeloma with normal performance status.

OBJECTIVES: Findings from a brief geriatric assessment (GA) in a cohort of adults with multiple myeloma (MM) are presented, with particular attention to the utility of the GA in identifying important deficits in adults judged to have a normal Karnofsky Performance Status (KPS ≥ 80). MATERIALS AND METHODS: Adults age 18 and older with MM were recruited into an observational study from 2018 to 2020. A modified Cancer and Aging Research Group (CARG) GA was administered at enrollment. Enrollees also completed the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life of Cancer Patients Core 30 questionnaire (QLQ-C30), with subscales of physical, social, role, and cognitive functioning (range 0-100; higher values indicate better function). Data were analyzed using descriptive statistics for the full cohort and stratified by concurrent KPS (score < 80 vs ≥ 80). RESULTS: Among 89 adults, the mean age was 69.1 years, 68% were aged ≥65 years, and 70% were white. In this cohort, 78% had KPS ≥ 80. Among those with KPS ≥ 80, functional impairments (Timed Up and Go ≥14 s and dependence in ≥1 instrumental activity of daily living) were seen in 30% and 21%, respectively, with 11% reporting ≥1 fall in the prior 6 months. At least two GA-identified deficits were detected in 50% of the overall cohort and in 41% of those with KPS ≥ 80. Among those with KPS ≥ 80, self-reported physical impairment on EORTC QLQ-C30 was noted by 34%. CONCLUSION: Using a modified CARG GA and EORTC questionnaire, functional impairments were identified among adults considered to have a good performance status based on a KPS (≥ 80). Future studies should focus on using GA measures for therapy assignment and identifying opportunities for intervening upon GA-identified deficits.

Assessment of Karnofsky (KPS) and WHO (WHO-PS) performance scores in brain tumour patients: the role of clinician bias.

PURPOSE: Inclusion of brain tumour patients in oncological protocols may be hampered by their neurological impairment. The goal of this study was to assess the reliability of Karnofsky Performance Scale (KPS) and WHO Performance Scale (WHO-PS) scores in this population. METHODS: A cross-sectional survey was conducted through the Association des Neuro-Oncologues d'Expression Française (ANOCEF) and European Neuro-Oncology Association (EANO) networks. Clinicians were asked to write a text defining their operative definition of a patient with ≥ 70 KPS and to assess KPS and WHO-PS in six different clinical case vignettes. RESULTS: Two hundred seventy-six clinicians sent a response. The operative definition mentioned a normal life (89%), what patients were able (26%) or unable (29%) to do, normal cognitive processing (8%) and caregivers (6%). Older physicians mentioned more often what patients were unable to do (p = 0.005). The two scales were homogeneous in less severely handicapped patients only. More patients were excluded for hemiplegia than for expressive aphasia. Older physicians significantly excluded more patients for KPS and WHO-PS. Speciality of the physician significantly influenced scoring. On multivariable analysis, age and speciality of the physicians were correlated with KPS and WHO-PS rating even if adjusted on cases. Discordant scoring increased with severity of the deficit: in nearly all cases, the KPS would have denied, while WHO-PS would have allowed, access to a trial. CONCLUSION: Performance scores assigned to brain tumour patients are clinician and score dependant. WHO-PS would allow more access to a trial. Specific criteria should be developed for patients with neurological deficits to facilitate their access to trials.

Barriers and Adherence to Pain Management in Advanced Cancer Patients.

AIM: To assess patients' barriers to pain management and analgesic medication adherence in patients with advanced cancer. METHODS: This was a prospective cross-sectional study in patients with advanced cancer receiving chronic opioid therapy. Age, gender, cancer diagnosis, Karnofsky level, and educational status were recorded. The Brief Pain Inventory (BPI), Edmonton Symptom Assessment Scale (ESAS), Memorial Delirium Assessment Scale (MDAS), Barriers Questionnaire II (BQ-II), Medication Adherence Rating Scale (MARS), and Hospital Anxiety and Depression Scale (HADS) were the measurement instruments used. RESULTS: One-hundred-thirteen patients were analyzed. The mean age was 68 (±13) years, and 59 (52%) were male. The mean Karnofsky status was 51.4 (standard deviation [SD] 11.5). The mean score for BQ-II items was 1.77 (SD 0.7). The BQ-II score was independently related to the HADS-Depression score (P = 0.033) and the total HADS score (P = 0.049). Negative side-effects and attitudes toward psychotropic medication globally prevailed among MARS items. These items were independently associated with gender (P = 0.030), pain (P = 0.003), and depression (P = 0.047). CONCLUSION: Barriers to pain management were mild. Psychological factors such as depression were the main factor associated with barriers. Poor adherence to analgesic medication was mostly manifested as negative side-effects and attitudes toward psychotropic medication, was more frequent observed in females, and was associated with the ESAS items pain and depression.

Predictive Model and Online Calculator for Discharge Disposition in Brain Tumor Patients.

BACKGROUND: In the era of value-based payment models, it is imperative for neurosurgeons to eliminate inefficiencies and provide high-quality care. Discharge disposition is a relevant consideration with clinical and economic ramifications in brain tumor patients. We developed a predictive model and online calculator for postoperative non-home discharge disposition in brain tumor patients that can be incorporated into preoperative workflows. METHODS: We reviewed all brain tumor patients at our institution from 2017 to 2019. A predictive model of discharge disposition containing preoperatively available variables was developed using stepwise multivariable logistic regression. Model performance was assessed using receiver operating characteristic curves and calibration curves. Internal validation was performed using bootstrapping with 2000 samples. RESULTS: Our cohort included 2335 patients who underwent 2586 surgeries with a 16% non-home discharge rate. Significant predictors of non-home discharge were age >60 years (odds ratio [OR], 2.02), African American (OR, 1.73) or Asian (OR, 2.05) race, unmarried status (OR, 1.48), Medicaid insurance (OR, 1.90), admission from another health care facility (OR, 2.30), higher 5-factor modified frailty index (OR, 1.61 for 5-factor modified frailty index ≥2), and lower Karnofsky Performance Status (increasing OR with each 10-point decrease in Karnofsky Performance Status). The model was well calibrated and had excellent discrimination (optimism-corrected C-statistic, 0.82). An open-access calculator was deployed (https://neurooncsurgery.shinyapps.io/discharge_calc/). CONCLUSIONS: A strongly performing predictive model and online calculator for non-home discharge disposition in brain tumor patients was developed. With further validation, this tool may facilitate more efficient discharge planning, with consequent improvements in quality and value of care for brain tumor patients.

Karnofsky Performance Scale and Neurological Assessment of Neuro-Oncology Scale as Early Predictor in Glioma.

OBJECTIVE: Glioma is one of the most frequent and disabling primary brain tumour. Patients are not only dealing with survival, but also quality of life, which remains another major concern. Karnofsky Performance Scale (KPS) is one of the most commonly used scale to assess patients' quality of life. A recent scale, known as Neurological Assessment of Neuro-Oncology Scale, has surfaced to examine neurological disability caused by brain tumour. Previous study showed this scale to be superior to KPS in predicting survival. However, these scales have never been used to foresee functional scale improvement during disease progression. We sought to determine whether initial KPS and NANO Scale can predict functional scale improvement 2 months after surgery. METHODS: Patients with glioma grade II-IV were included in the study. IDH mutation and MGMT methylation were tested. KPS and NANO scale were examined before surgery and 2 months after surgery. Favorable outcome (FO) was defined as improvement in functional scale 2 months after surgery. Patients initial functional scales were analyzed towards favorable outcome. RESULTS: Glioma WHO grade II, III and IV was found in 17 patients (36.2%), 3 patients (6.4%) and 27 patients (57.4%) respectively. Median KPS before and 2 months after surgery were 50 (30-80) and 60 (0-100), whereas median NANO scale before and 2 months after surgery were 5 (0-12) and 3 (0-12). Favorable outcome was found in 63.8% (KPS) and 78.7% (NANO Scale). Patients initial functional scales were significantly related to FO. CONCLUSION: Good initial functional scales are 4 to 5 times likely of having a favorable outcome 2 months after surgery.

Survival in Patients With Brain Metastases: Summary Report on the Updated Diagnosis-Specific Graded Prognostic Assessment and Definition of the Eligibility Quotient.

PURPOSE: Conventional wisdom has rendered patients with brain metastases ineligible for clinical trials for fear that poor survival could mask the benefit of otherwise promising treatments. Our group previously published the diagnosis-specific Graded Prognostic Assessment (GPA). Updates with larger contemporary cohorts using molecular markers and newly identified prognostic factors have been published. The purposes of this work are to present all the updated indices in a single report to guide treatment choice, stratify research, and define an eligibility quotient to expand eligibility. METHODS: A multi-institutional database of 6,984 patients with newly diagnosed brain metastases underwent multivariable analyses of prognostic factors and treatments associated with survival for each primary site. Significant factors were used to define the updated GPA. GPAs of 4.0 and 0.0 correlate with the best and worst prognoses, respectively. RESULTS: Significant prognostic factors varied by diagnosis and new prognostic factors were identified. Those factors were incorporated into the updated GPA with robust separation (P < .01) between subgroups. Survival has improved, but varies widely by GPA for patients with non-small-cell lung, breast, melanoma, GI, and renal cancer with brain metastases from 7-47 months, 3-36 months, 5-34 months, 3-17 months, and 4-35 months, respectively. CONCLUSION: Median survival varies widely and our ability to estimate survival for patients with brain metastases has improved. The updated GPA (available free at brainmetgpa.com) provides an accurate tool with which to estimate survival, individualize treatment, and stratify clinical trials. Instead of excluding patients with brain metastases, enrollment should be encouraged and those trials should be stratified by the GPA to ensure those trials make appropriate comparisons. Furthermore, we recommend the expansion of eligibility to allow for the enrollment of patients with previously treated brain metastases who have a 50% or greater probability of an additional year of survival (eligibility quotient > 0.50).

Surgical outcome and graded prognostic assessment of patients with brain metastasis from adult sarcoma: multi-institutional retrospective study in Japan.

BACKGROUND: Brain metastasis (BM) is an uncommon complication of sarcomas with a poor prognosis. Little information is available about the feasibility and prognostic factors of surgical resection of BM from sarcomas. METHODS: This study involved a retrospective analysis of 22 patients with BM from sarcomas who underwent resection at six institutes in Japan. Prognostic factors were analyzed to develop a graded prognostic assessment (GPA) using the log-rank test and Cox regression analysis. For validation of this GPA, we collected data on 100 surgical cases from 48 published reports. RESULTS: Postoperative Karnofsky Performance Status (KPS) improved in 50% of our patients. Median overall survival (OS) was 21 months. Multivariate analysis showed age and alveolar soft part sarcoma (ASPS) were significant preoperative prognostic factors (P < 0.05). RTOG-RPA classification had no significant prognostic value. We developed a GPA system for OS after resection of BM. A score of 0 was assigned to patients aged 18-29 years with non-ASPS, 2 to patients aged 18-29 years with ASPS or 30-76 years with non-ASPS, and 4 to patients aged 30-76 years with ASPS. Median OS for patients with GPA scores of 0, 2, and 4 were 6.5, 16.0, and 44.0 months, respectively (P = 0.002). The results were validated by the data of 100 cases compiled (P < 0.001). CONCLUSION: Median OS of patients with BM from sarcomas was comparable to that from carcinomas after resection. A new sarcoma-specific GPA may help patients and clinicians to select resection as an option for treatment of BM from sarcomas.

External Validation of a Prognostic Score for Patients with Brain Metastases: Extended Diagnosis-Specific Graded Prognostic Assessment.

PURPOSE: The aim of our study was the external validation of an extended variant of the four-tiered diagnosis-specific graded prognostic assessment (DS-GPA) that includes more information about extracranial disease burden and blood test results, and predicts survival of patients with brain metastases. The extracranial DS-GPA (EC-GPA) includes serum albumin, lactate dehydrogenase, and number of extracranial organs involved. Originally, the score was developed in Germany. PATIENTS AND METHODS: A retrospective analysis of 236 patients with brain metastases treated with primary whole-brain radiotherapy in North-Norway was performed (independent external validation cohort). RESULTS: The four-tiered EC-GPA score showed good discrimination between all prognostic groups (log-rank test p < 0.05 for all pairwise comparisons). One-year survival was 0, 11, 30, and 100%, respectively. Median survival was 0.7 months (95% CI, 0.5-0.9) in the worst prognostic group, with a hazard ratio for death of 44.31 (95% CI, 5.78-339.50) compared to the best group. In the German database, the corresponding HR was 31.64 (median survival 0.4 months). The remaining hazard ratios in this validation study were 7.13 and 12.10, compared with 4.84 and 9.26 in the score development study. CONCLUSIONS: This study provides an independent validation of the EC-GPA, which was the best prognostic model for defining patients who did not benefit from radiation therapy of brain metastases in terms of overall survival in the original German study. The proposed modification of the established DS-GPA should undergo further validation in multi-institutional databases.

The SHORT Score for Preoperative Assessment of the Risk for Short-Term Survival in Glioblastoma.

BACKGROUND: Despite recent improvements in treatment of glioblastoma (GBM), some patients still have a short survival. We sought to develop a new risk score for preoperative assessment of short-term survival (STS) (<6 months) in patients with GBM. METHODS: All adult patients who underwent surgical resection of GBM between 2004 and 2014 were included (N = 379). Demographic and clinical parameters, which were available at admission, were assessed. Variables were evaluated in univariate and multivariate analyses. The score was validated in a separate cohort of patients with GBM who underwent surgical resection between 2015 and 2018. RESULTS: The following independent predictors of STS were integrated into a new score: body height (<169 cm, 1 point), arterial hypertension (1 point), age (≤54 years, 0 points; 55-74 years, 1 points; ≥75 years, 2 points), and poor clinical status (Karnofsky performance scale [KPS] score: ≤60%, 2 points; 70%-80%, 1 point; ≥90%, 0 points). The new risk score, SHORT (Small body height, Hypertension, Older age, Reduced KPS score, short-Term survival), ranged from 0 to 6 points and showed good accuracy of risk estimation for STS in GBM (area under the curve: 0.715). STS rates were 9.7%, 23.1%, and 70% in patients with GBM scoring <2 points, 2-4 points, and >4 points (P < 0.0001). The score was successfully validated (area under the curve: 0.770). CONCLUSIONS: This study presents the SHORT score for preoperative assessment of STS risk in patients with GBM. This risk score needs external validation in larger patient cohorts from other institutions. Our score might be a tool to facilitate treatment decisions in patients with GBM before surgery.

Development of a disease-specific graded prognostic assessment index for the management of sarcoma patients with brain metastases (Sarcoma-GPA).

BACKGROUND: Brain metastases from sarcomatous lesions pose a management challenge owing to their rarity and the histopathological heterogeneity. Prognostic indices such as the Graded Prognostic Assessment (GPA) index have been developed for several primary tumour types presenting with brain metastases (e.g. lung, breast, melanoma), tailored to the specifics of different primary histologies and molecular profiles. Thus far, a prognostic index to direct treatment decisions is lacking for adult sarcoma patients with brain metastases. METHODS: We performed a multicentre analysis of a national group of expert sarcoma tertiary centres (French Sarcoma Group, GSF-GETO) with the participation of one Canadian and one Swiss centre. The study cohort included adult patients with a diagnosis of a bone or soft tissue sarcoma presenting parenchymal or meningeal brain metastases, managed between January 1992 and March 2012. We assessed the validity of the original GPA index in this patient population and developed a disease-specific Sarcoma-GPA index. RESULTS: The original GPA index is not prognostic for sarcoma brain metastasis patients. We have developed a dedicated Sarcoma-GPA index that identifies a sub-group of patients with particularly favourable prognosis based on histology, number of brain lesions and performance status. CONCLUSIONS: The Sarcoma-GPA index provides a novel tool for sarcoma oncologists to guide clinical decision-making and outcomes research.

Inter-rater reliability in performance status assessment among healthcare professionals: an updated systematic review and meta-analysis.

INTRODUCTION: Survival prediction for patients with incurable malignancies is invaluable information during end-of-life discussions, as it helps the healthcare team to appropriately recommend treatment options and consider hospice enrolment. Assessment of performance status may differ between different healthcare professionals (HCPs), which could have implications in predicting prognosis. The aim of this systematic review and meta-analysis is to update a prior systematic review with recent articles, as well as conduct a meta-analysis to quantitatively compare performance status scores. METHODS: A literature search was carried out in Ovid MEDLINE, Embase, and Cochrane Central Register of Controlled Trials, from the earliest date until the first week of August 2019. Studies were included if they reported on (1) Karnofsky Performance Status (KPS), Eastern Cooperative Oncology Group (ECOG) Performance Status, and/or Palliative Performance Scale (PPS) and (2) assessment of performance status by multiple HCPs for the same patient sets. The concordance statistics (Kappa, Krippendorff's alpha, Kendall correlation, Spearman rank correlation, Pearson correlation) were extracted into a summary table for narrative review, and Pearson correlation coefficients were calculated for each study and meta-analyzed with a random effects analysis model. Analyses were conducted using Comprehensive Meta-Analysis (Version 3) by Biostat. RESULTS: Fourteen articles were included, with a cumulative sample size of 2808 patients. The Pearson correlation coefficient was 0.787 (95% CI: 0.661, 0.870) for KPS, 0.749 (95% CI: 0.716, 0.779) for PPS, and 0.705 (95% CI: 0.536, 0.819) for ECOG. Four studies compared different tools head-to-head; KPS was favored in three studies. The quality of evidence was moderate, as determined by the GRADE tool. CONCLUSIONS: The meta-analysis's Pearson correlation coefficient ranged from 0.705 to 0.787; there is notable correlation of performance status scores, with no one tool statistically superior to others. KPS is, however, descriptively better and favored in head-to-head trials. Future studies could now examine the accuracy of KPS assessment in prognostication and focus on model-building around KPS.

Assessment of Functionality in Elderly Patients When Determining Appropriate Treatment for Nonmelanoma Skin Cancers.

BACKGROUND: The treatment of nonmelanoma skin cancer (NMSC) in the elderly population is a source of significant debate. Mohs micrographic surgery (MMS) is a highly effective treatment option yet not every patient with a cutaneous malignancy that meets appropriate use criteria (AUC) should be treated with surgery. OBJECTIVE: The purpose of this study was to use the Karnofsky Performance Status (KPS) scale to categorize the functional status of patients aged 75 years and older who required treatment of NMSC. The authors wanted to see whether functionality played a role on the treatment selection. METHODS: Patients aged 75 years and older presenting for biopsy of a suspected NMSC that met AUC for MMS were included in the study. Trained medical assistants used the KPS scale to assess patient functionality. Treatment modality was recorded once the biopsy confirmed the NMSC. RESULTS: A cohort of 203 subjects met inclusion criteria for the study. There was a statistically significant difference in utilization of surgical treatments between high and low functionality patients (p = .03). CONCLUSION: Dermatologists consider patient functionality when selecting a treatment for NMSC and use less invasive modalities for patients with poor functional status, even when the tumor meets AUC.

Inter-rater reliability in performance status assessment between clinicians and patients: a systematic review and meta-analysis.

INTRODUCTION: Performance status is an essential consideration for clinical practice and for patient eligibility for clinical trials in oncology. Assessment of performance status is traditionally done by clinicians, but there is an increasing interest in patient-completed assessment. The aim of this systematic review and meta-analysis was to summarise inter-rater concordance between patient and clinician ratings of performance status. METHODS: A search strategy was developed and executed in the databases of Ovid MEDLINE, Embase and Cochrane Central Register of Controlled Trials, from inception until 15 August 2019. Articles were eligible for inclusion if there was mention of both (1) use of performance status tool Karnofsky Performance Status (KPS) or Eastern Cooperative Oncology Group Performance Status (ECOG), and (2) assessment of performance status by both clinicians and patients. Pearson correlation coefficients were calculated for each study and were meta-analysed according to a random-effect analysis model. Analyses were conducted using Comprehensive Meta-Analysis (V.3) by Biostat. RESULTS: Sixteen articles were included in our review, reporting on a cumulative sample size of 6619 patients. The quality of evidence was moderate, as determined by the GRADE tool.Concordance ranged from fair to moderate for both the KPS and ECOG tools. The Pearson correlation coefficient was 0.449 for KPS and 0.584 for ECOG. CONCLUSIONS: There is fair to moderate concordance of patient and clinician performance status ratings. Future studies should examine the reasoning behind clinician and patient ratings to better understand discrepancies between ratings.

Assessment of gait parameters and physical function in patients with advanced cancer participating in a 12-week exercise and nutrition programme: A controlled clinical trial.

OBJECTIVE: Gait is a sensitive marker for functional declines commonly seen in patients treated for advanced cancer. We tested the effect of a combined exercise and nutrition programme on gait parameters of advanced-stage cancer patients using a novel wearable gait analysis system. METHODS: Eighty patients were allocated to a control group with nutritional support or to an intervention group additionally receiving whole-body electromyostimulation (WB-EMS) training (2×/week). At baseline and after 12 weeks, physical function was assessed by a biosensor-based gait analysis during a six-minute walk test, a 30-s sit-to-stand test, a hand grip strength test, the Karnofsky Index and EORTC QLQ-C30 questionnaire. Body composition was measured by bioelectrical impedance analysis and inflammation by blood analysis. RESULTS: Final analysis included 41 patients (56.1% male; 60.0 ± 13.0 years). After 12 weeks, the WB-EMS group showed higher stride length, gait velocity (p < .05), six-minute walking distance (p < .01), bodyweight and skeletal muscle mass, and emotional functioning (p < .05) compared with controls. Correlations between changes in gait and in body composition, physical function and inflammation were detected. CONCLUSION: Whole-body electromyostimulation combined with nutrition may help to improve gait and functional status of cancer patients. Sensor-based mobile gait analysis objectively reflects patients' physical status and could support treatment decisions.