The Functionality Assessment Flowchart (FAF): a new simple and reliable method to measure performance status with a high percentage of agreement between observers

HAprog: A New Prognostic Application to Assist Oncologists in Routine Care

CONTEXT

More patients are seeing palliative care (PC) earlier in the disease trajectory. The Barretos Prognostic Nomogram (BPN) was designed to fill the gap of survival prognostication for patients with advanced cancer and months of life expectancy. However, its routine use is limited by the common need for a ruler and calculator. Additionally, the BPN requires blood tests.

OBJECTIVES

The aim is to refine the BPN and to create a prognostic application (App) for use on smartphones.

METHODS

This is a reanalysis of the two cohorts of advanced cancer patients (development, n=215 and validation, n=276). The variable 'metastasis' was revised (volume-site combinations) and 'KPS' replaced by 'ECOG-PS'. Prognostic variables were selected for multivariable Cox and Log-logistic parametric regression analyses; the most accurate final models were identified by backward variable elimination. Calibration and discrimination properties were evaluated in the validation sample.

RESULTS

The 'full version' model is composed of 6 parameters: sex, locoregional disease, sites of metastasis, ECOG-PS, WBC and albumin. In the 'clinical version' model (5 variables), the variable 'antineoplastic treatment' was included and the laboratory variables were excluded. At validation, both models were well calibrated and presented adequate c-Index values (0.778 and 0.739). HAprog is a freely downloadable offline App that is used by clinicians to calculate prognosis in less than 1 minute.

CONCLUSION

The new models that integrate HAprog are refined prognostic tools with adequate calibration and discrimination properties. It has potential practical impact for the oncologist dealing with outpatients with advanced cancer during the decision-making process.

Development and validation of a prognostic nomogram for ambulatory patients with advanced cancer

Predicting survival of advanced cancer patients (ACPs) is a difficult task. We aimed at developing and testing a new prognostic tool in ACPs when they were first referred to palliative care (PC). A total of 497 patients were analyzed in this study (development sample, n = 221; validation sample, n = 276). From 35 initial putative prognostic variables, 14 of them were selected for multivariable Cox regression analyses; the most accurate final model was identified by backward variable elimination. Parameters were built into a nomogram to estimate the probability of patient survival at 30, 90, and 180 days. Calibration and discrimination properties of the Barretos Prognostic Nomogram (BPN) were evaluated in the validation phase of the study. The BPN was composed of 5 parameters: sex, presence of distant metastasis, Karnofsky Performance Status (KPS), white blood cell (WBC) count, and serum albumin concentration. The C-index was 0.71. The values of the area under the curve (AUC) of the receiver operating characteristic (ROC) curve were 0.84, 0.74, and 0.74 at 30, 90, and 180 days, respectively. There were good calibration results according to the Hosmer-Lemeshow test. The median survival times were 313, 129, and 37 days for the BPN scores <25th percentile (<125), 25th to 75th percentile (125-175), and >75th percentile (>175), respectively (P < .001). The BPN is a new prognostic tool with adequate calibration and discrimination properties. It is now available to assist oncologists and palliative care physicians in estimating the survival of adult patients with advanced solid tumors.

Validation of the Mayo Clinic Staging System in Determining Prognoses of Patients With Perihilar Cholangiocarcinoma

BACKGROUND & AIMS

Most systems for staging perihilar cholangiocarcinoma (PHC) have been developed for the minority of patients with resectable disease. The recently developed Mayo Clinic system for staging PHC requires only clinical and radiologic variables, but has not yet been validated. We performed a retrospective study to validate the Mayo Clinic staging system.

METHODS

We identified consecutive patients with suspected PHC who were evaluated and treated at 2 tertiary centers in The Netherlands, from January 2002 through December 2014. Baseline characteristics (performance status, carbohydrate antigen 19-9 level) used in the staging system were collected from medical records and imaging parameters (tumor size, suspected vascular involvement, and metastatic disease) were reassessed by 2 experienced abdominal radiologists. Overall survival was analyzed using the Kaplan-Meier method and comparison of staging groups was performed using the log-rank test and Cox proportional hazard regression analysis. Discriminative performance was quantified by the concordance index and compared with the radiologic TNM staging of the American Joint Committee on Cancer (7th ed).

RESULTS

PHCs from 600 patients were staged according to the Mayo Clinic model (23 stage I, 80 stage II, 357 stage III, and 140 stage IV). The median overall survival time was 11.6 months. The median overall survival times for patients with stages I, II, III, and IV were 33.2 months, 19.7 months, 12.1 months, and 6.0 months, respectively; with hazard ratios of 1.0 (reference), 2.02 (95% confidence interval [CI], 1.14-3.58), 2.71 (95% CI, 1.59-4.64), and 4.00 (95% CI, 2.30-6.95), respectively (P < .001). The concordance index score was 0.59 for the entire cohort (95% CI, 0.56-0.61). The Mayo Clinic model performed slightly better than the radiologic American Joint Committee on Cancer TNM system.

CONCLUSIONS

In a retrospective study of 600 patients with PHC, we validated the Mayo Clinic system for staging PHC. This 4-tier staging system may aid clinicians in making treatment decisions, such as referral for surgery, and predicting survival times.

J, Giraldo PC, Gonçalves AK. Quality of life in breast cancer survivors

Summary Objective: To evaluate the influence of functional capacity (FC) and how it affects quality of life (QoL) in breast cancer survivors. Method: A total of 400 breast cancer survivors were studied - 118 without metastasis, 160 with locoregional metastasis and 122 with distant metastasis. The European Organization for Research and Treatment for Cancer Quality of Life Questionnaire--Core 30 (EORTC QLQ-C30), Breast Cancer-Specific (EORTC QLQ-BR23), and the Karnofsky Performance Scale (KPS) were used to evaluate FC and QoL. Results: Women with distant metastases presented lower KPS 75.3 (SD=12.5) (p<0.001). For QLQ-C30, the mean of the Functional Scale for patients with distant metastasis was 57 (SD=19) (p<0.001), and the mean of the Symptom Scale for patients with distant metastasis was 37 (SD=20) (p<0.001). Both the scales for pain and fatigue showed the highest mean in the groups. For the Global Health Scale, patients without metastasis scored a mean of 62 (SD=24) points, while those with locoregional metastases scored a mean of 63 (SD=21.4), and distant metastasis scored 51.3 (SD=24) points. In the group with distant metastases, 105 (87%) had pain, and the average KPS was 74 (SD=12.0) (p=0.001). Conclusion: Breast cancer was associated with decreased FC, compromised QoL in women with locoregional and distant metastases compared to those without metastasis.