Background: A prediction model for overall survival (OS) in metastatic pancreatic ductal adenocarcinoma (PDAC) including patient and treatment characteristics is currently not available, but it could be valuable for supporting clinicians in patient communication about expectations and prognosis. We aimed to develop a prediction model for OS in metastatic PDAC, called SOURCE-PANC, based on nationwide population-based data. Materials and Methods: Data on patients diagnosed with synchronous metastatic PDAC in 2015 through 2018 were retrieved from the Netherlands Cancer Registry. A multivariate Cox regression model was created to predict OS for various treatment strategies. Available patient, tumor, and treatment characteristics were used to compose the model. Treatment strategies were categorized as systemic treatment (subdivided into FOLFIRINOX, gemcitabine/nab-paclitaxel, and gemcitabine monotherapy), biliary drainage, and best supportive care only. Validation was performed according to a temporal internal–external cross-validation scheme. The predictive quality was assessed with the C-index and calibration. Results: Data for 4,739 patients were included in the model. Sixteen predictors were included: age, sex, performance status, laboratory values (albumin, bilirubin, CA19-9, lactate dehydrogenase), clinical tumor and nodal stage, tumor sublocation, presence of distant lymph node metastases, liver or peritoneal metastases, number of metastatic sites, and treatment strategy. The model demonstrated a C-index of 0.72 in the internal–external cross-validation and showed good calibration, with the intercept and slope 95% confidence intervals including the ideal values of 0 and 1, respectively. Conclusions: A population-based prediction model for OS was developed for patients with metastatic PDAC and showed good performance. The predictors that were included in the model comprised both baseline patient and tumor characteristics and type of treatment. SOURCE-PANC will be incorporated in an electronic decision support tool to support shared decision-making in clinical practice.
Héctor G. van den Boorn, Willemieke P.M. Dijksterhuis, Lydia G.M. van der Geest, Judith de Vos-Geelen, Marc G. Besselink, Johanna W. Wilmink, Martijn G.H. van Oijen, and Hanneke W.M. van Laarhoven
Willemieke P.M. Dijksterhuis, Anouk E.J. Latenstein, Jessy Joy van Kleef, Rob H.A. Verhoeven, Jeanne H.M. de Vries, Marije Slingerland, Elles Steenhagen, Joos Heisterkamp, Liesbeth M. Timmermans, Marian A.E. de van der Schueren, Martijn G.H. van Oijen, Sandra Beijer, and Hanneke W.M. van Laarhoven
Background: Cachexia is common in patients with esophagogastric cancer and is associated with increased mortality. Nutritional screening and dietetic interventions can be helpful in preventing evolvement of cachexia. Our aim was to study the real-world prevalence and prognostic value of pretreatment cachexia on overall survival (OS) using patient-reported weight loss, and to explore dietetic interventions in esophagogastric cancer. Materials and Methods: Patients with esophagogastric cancer (2015–2018), regardless of disease stage, who participated in the Prospective Observational Cohort Study of Esophageal-Gastric Cancer Patients (POCOP) and completed patient-reported outcome measures were included. Data on weight loss and dietetic interventions were retrieved from questionnaires before start of treatment (baseline) and 3 months thereafter. Additional patient data were obtained from the Netherlands Cancer Registry. Cachexia was defined as self-reported >5% half-year body weight loss at baseline or >2% in patients with a body mass index (BMI) <20 kg/m2 according to the Fearon criteria. The association between cachexia and OS was analyzed using multivariable Cox proportional hazard analyses adjusted for sex, age, performance status, comorbidities, primary tumor location, disease stage, histology, and treatment strategy. Results: Of 406 included patients, 48% had pretreatment cachexia, of whom 65% were referred for dietetic consultation at baseline. The proportion of patients with cachexia was the highest among those who received palliative chemotherapy (59%) or best supportive care (67%). Cachexia was associated with decreased OS (hazard ratio, 1.52; 95% CI, 1.11–2.09). Median weight loss after 3-month follow-up was lower in patients with cachexia who were referred to a dietician at baseline compared with those who were not (0% vs 2%; P=.047). Conclusions: Nearly half of patients with esophagogastric cancer have pretreatment cachexia. Dietetic consultation at baseline was not reported in more than one-third of the patients with cachexia. Because cachexia was independently associated with decreased survival, improving nutritional screening and referral for dietetic consultation are warranted to prevent further deterioration of malnutrition and mortality.
Tara M. Mackay, Lennart B. van Rijssen, Jurr O. Andriessen, Mustafa Suker, Geert-Jan Creemers, Ferry A. Eskens, Ignace H. de Hingh, Lonneke V. van de Poll-Franse, Mirjam A.G. Sprangers, Olivier R. Busch, Johanna W. Wilmink, Casper H. van Eijck, Marc G. Besselink, Hanneke W. van Laarhoven, and on behalf of the Dutch Pancreatic Cancer Group
Background: This study sought to assess patient satisfaction and quality of life (QoL) before and after treatment of pancreatic and periampullary cancer. Methods: We conducted a prospective multicenter study of patients treated for pancreatic and periampullary cancer. General patient satisfaction was measured using the EORTC satisfaction with care questionnaire (IN-PATSAT32) at baseline and 3 months after treatment initiation, with a 10-point change on the Likert scale considered clinically meaningful. QoL was measured using the EORTC Core Quality of Life Questionnaire (QLQ-C30). The influence of treatment (curative and palliative) on patient satisfaction and QoL was determined. Results: Of 100 patients, 71 completed follow-up questionnaires. General satisfaction with care decreased from 74.3 before treatment to 61.9 after treatment (P<.001), whereas global QoL increased from 68.4 to 71.4 (P=.39). Clinically meaningful reductions were also observed for the reported interpersonal skills of doctors (from 73.4 to 63.3) and exchange of information within the care team (from 63.5 to 52.5). Satisfaction scores were lower for patients treated with curative intent than for those treated with palliative intent regarding interpersonal skills of doctors (P=.01), information provision by doctors (P=.004), information provision by nurses (P=.02), availability of nurses (P=.004), exchange of information within the care team (P=.01), and hospital access (P=.02). In multivariable analysis, clinicopathologic or QoL factors were not independently associated with general patient satisfaction. Conclusions: Satisfaction with care, but not QoL, decreased after pancreatic cancer treatment. Improvements in communication and interpersonal skills are needed to maintain patient satisfaction after treatment.
Héctor G. van den Boorn, Ameen Abu-Hanna, Nadia Haj Mohammad, Maarten C.C.M. Hulshof, Suzanne S. Gisbertz, Bastiaan R. Klarenbeek, Marije Slingerland, Laurens V. Beerepoot, Tom Rozema, Mirjam A.G. Sprangers, Rob H.A. Verhoeven, Martijn G.H. van Oijen, Koos H. Zwinderman, and Hanneke W.M. van Laarhoven
Background: Personalized prediction of treatment outcomes can aid patients with cancer when deciding on treatment options. Existing prediction models for esophageal and gastric cancer, however, have mostly been developed for survival prediction after surgery (ie, when treatment has already been completed). Furthermore, prediction models for patients with metastatic cancer are scarce. The aim of this study was to develop prediction models of overall survival at diagnosis for patients with potentially curable and metastatic esophageal and gastric cancer (the SOURCE study). Methods: Data from 13,080 patients with esophageal or gastric cancer diagnosed in 2015 through 2018 were retrieved from the prospective Netherlands Cancer Registry. Four Cox proportional hazards regression models were created for patients with potentially curable and metastatic esophageal or gastric cancer. Predictors, including treatment type, were selected using the Akaike information criterion. The models were validated with temporal cross-validation on their C-index and calibration. Results: The validated model’s C-index was 0.78 for potentially curable gastric cancer and 0.80 for potentially curable esophageal cancer. For the metastatic models, the c-indices were 0.72 and 0.73 for esophageal and gastric cancer, respectively. The 95% confidence interval of the calibration intercepts and slopes contain the values 0 and 1, respectively. Conclusions: The SOURCE prediction models show fair to good c-indices and an overall good calibration. The models are the first in esophageal and gastric cancer to predict survival at diagnosis for a variety of treatments. Future research is needed to demonstrate their value for shared decision-making in clinical practice.
Tara M. Mackay, Anouk E.J. Latenstein, Mirjam A.G. Sprangers, Lydia G. van der Geest, Geert-Jan Creemers, Susan van Dieren, Jan-Willem B. de Groot, Bas Groot Koerkamp, Ignace H. de Hingh, Marjolein Y.V. Homs, Evelien J.M. de Jong, I. Quintus Molenaar, Gijs A. Patijn, Lonneke V. van de Poll-Franse, Hjalmar C. van Santvoort, Judith de Vos-Geelen, Johanna W. Wilmink, Casper H. van Eijck, Marc G. Besselink, Hanneke W.M. van Laarhoven, and for the Dutch Pancreatic Cancer Group
Background: A relationship between quality of life (QoL) and survival has been shown for several types of cancer, mostly in clinical trials with highly selected patient groups. The relationship between QoL and survival for patients with pancreatic or periampullary cancer is unclear. Methods: This study analyzed QoL data from a prospective multicenter patient-reported outcome registry in patients with pancreatic or periampullary carcinoma registered in the nationwide Netherlands Cancer Registry (2015–2018). Baseline and delta QoL, between baseline and 3-month follow-up, were assessed with the Happiness, EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), and QLQ-PAN26 questionnaires. The relationship between QoL and survival was assessed using Cox regression models, and additional prognostic value of separate items was assessed using Nagelkerke R 2 (explained variance). Results: For the baseline and delta analyses, 233 and 148 patients were available, respectively. Most were diagnosed with pancreatic adenocarcinoma (n=194; 83.3%) and had stage III disease (n=77; 33.0%), with a median overall survival of 13.6 months. Multivariate analysis using baseline scores indicated several scales to be of prognostic value for the total cohort (ie, happiness today, role functioning, diarrhea, pancreatic pain, and body image; hazard ratios all P<.05) and for patients without resection (ie, overall satisfaction with life, physical and cognitive functioning, QLQ-C30 summary score, fatigue, pain, constipation, diarrhea, and body image; hazard ratios all P<.05). Except for diarrhea, all QoL items accounted for >5% of the additional explained variance and were of added prognostic value. Multivariate analysis using delta QoL revealed that only constipation was of prognostic value for the total cohort, whereas no association with survival was found for subgroups with or without resection. Conclusions: In a multicenter cohort of patients with pancreatic or periampullary carcinoma, QoL scores predicted survival regardless of patient, tumor, and treatment characteristics. QoL scores may thus be used for shared decision-making regarding disease management and treatment choice.