Shamsher A Pasha, Abdullah Khalid, Todd Levy, Lyudmyla Demyan, Sarah Hartman, Elliot Newman, Matthew J Weiss, Daniel A King, Theodoros Zanos, Marcovalerio Melis
{"title":"Machine learning to predict completion of treatment for pancreatic cancer.","authors":"Shamsher A Pasha, Abdullah Khalid, Todd Levy, Lyudmyla Demyan, Sarah Hartman, Elliot Newman, Matthew J Weiss, Daniel A King, Theodoros Zanos, Marcovalerio Melis","doi":"10.1002/jso.27812","DOIUrl":"10.1002/jso.27812","url":null,"abstract":"<p><strong>Background: </strong>Chemotherapy enhances survival rates for pancreatic cancer (PC) patients postsurgery, yet less than 60% complete adjuvant therapy, with a smaller fraction undergoing neoadjuvant treatment. Our study aimed to predict which patients would complete pre- or postoperative chemotherapy through machine learning (ML).</p><p><strong>Methods: </strong>Patients with resectable PC identified in our institutional pancreas database were grouped into two categories: those who completed all intended treatments (i.e., surgery plus either neoadjuvant or adjuvant chemotherapy), and those who did not. We applied logistic regression with lasso penalization and an extreme gradient boosting model for prediction, and further examined it through bootstrapping for sensitivity.</p><p><strong>Results: </strong>Among 208 patients, the median age was 69, with 49.5% female and 62% white participants. Most had an Eastern Cooperative Oncology Group (ECOG) performance status of ≤2. The PC predominantly affected the pancreatic head. Neoadjuvant and adjuvant chemotherapies were received by 26% and 47.1%, respectively, but only 49% completed all treatments. Incomplete therapy was correlated with older age and lower ECOG status. Negative prognostic factors included worsening diabetes, age, congestive heart failure, high body mass index, family history of PC, initial bilirubin levels, and tumor location in the pancreatic head. The models also flagged other factors, such as jaundice and specific cancer markers, impacting treatment completion. The predictive accuracy (area under the receiver operating characteristic curve) was 0.67 for both models, with performance expected to improve with larger datasets.</p><p><strong>Conclusions: </strong>Our findings underscore the potential of ML to forecast PC treatment completion, highlighting the importance of specific preoperative factors. Increasing data volumes may enhance predictive accuracy, offering valuable insights for personalized patient strategies.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1605-1610"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142000282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asmita Chopra, Anthony Gebran, Hussein Khachfe, Rudy El Asmar, Ibrahim Nassour, Sowmya Narayanan, Samer AlMasri, Aatur Singhi, Kenneth Lee, Amer Zureikat, Alessandro Paniccia
{"title":"Impact of Neoadjuvant Therapy on Oncological Outcomes of Patients With Distal Pancreatic Adenocarcinoma.","authors":"Asmita Chopra, Anthony Gebran, Hussein Khachfe, Rudy El Asmar, Ibrahim Nassour, Sowmya Narayanan, Samer AlMasri, Aatur Singhi, Kenneth Lee, Amer Zureikat, Alessandro Paniccia","doi":"10.1002/jso.27856","DOIUrl":"10.1002/jso.27856","url":null,"abstract":"<p><strong>Background: </strong>Distal pancreatic ductal adenocarcinoma (D-PDAC) often presents at an advanced stage. The efficacy of neoadjuvant therapy (NAT) in improving outcomes for D-PDAC is not well-established. This study evaluates the impact of NAT on the oncological outcomes of patients with D-PDAC.</p><p><strong>Methods: </strong>A retrospective cohort study of consecutive patients with resectable and borderline-resectable D-PDAC treated at a single center from 2012 to 2020 was performed. Stratification was based on initial treatment-NAT or surgery first (SF). Survival analysis, following intention-to-treat framework, used Kaplan-Meier and Cox regression to assess NAT's impact on progression-free survival (PFS) and overall survival (OS) of D-PDAC.</p><p><strong>Results: </strong>Among 141 patients (median age 69.8 years, 51.8% females) included in the study, 71 (50.4%) received NAT and 70 (49.6%) were planned for SF. Patients receiving NAT were younger (65.9 vs. 72.6 years) and had higher incidence of borderline-resectable disease (31% vs. 4.3%) (both p < 0.05) than those undergoing SF. Thirteen patients (18.3%) undergoing NAT and five (7.1%) in SF group, failed to undergo resection. Univariate comparison showed no difference in the PFS (SF:13.97 vs. NAT:17.00 months, p = 0.6), and OS (SF:23.73 vs. NAT:32.53 months, p = 0.35). Multivariate Cox regression analysis noted significantly improved PFS (HR = 0.64, 95%CI = 0.42-0.96, p = 0.031) and OS (HR = 0.60, 95%CI = 0.39-0.93, p = 0.021) with NAT.</p><p><strong>Conclusion: </strong>NAT is associated with improved PFS and OS in patients with -D-PDAC. Further randomized controlled trials are warranted to confirm these findings.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1579-1588"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142348973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eliel N Arrey, Darren GoPaul, David Anderson, Joel Okoli, Tamra McKenzie-Johnson
{"title":"Addressing Breast Cancer Disparities: A Comprehensive Approach to Health Equity.","authors":"Eliel N Arrey, Darren GoPaul, David Anderson, Joel Okoli, Tamra McKenzie-Johnson","doi":"10.1002/jso.28011","DOIUrl":"10.1002/jso.28011","url":null,"abstract":"<p><p>This article addresses the persistent disparities in breast cancer outcomes across different racial, ethnic, and socioeconomic groups despite advancements in diagnosis and treatment. The disparities are rooted in various factors, including access to care, socioeconomic status, and cultural barriers. The article emphasizes the need for targeted interventions, such as expanding insurance coverage, mobile mammography units, and culturally tailored outreach programs to promote health equity. Achieving this requires comprehensive strategies addressing systemic and social determinants of health.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1483-1489"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142864665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William W Tseng, Francesco Barretta, Marco Fiore, Chiara Colombo, Stefano Radaelli, Marco Baia, Carlo Morosi, Paola Collini, Roberta Sanfilippo, Chiara Fabbroni, Silvia Stacchiotti, Randall F Roberts, Dario Callegaro, Alessandro Gronchi
{"title":"Extent of macroscopic vascular invasion predicts distant metastasis in primary leiomyosarcoma of the inferior vena cava.","authors":"William W Tseng, Francesco Barretta, Marco Fiore, Chiara Colombo, Stefano Radaelli, Marco Baia, Carlo Morosi, Paola Collini, Roberta Sanfilippo, Chiara Fabbroni, Silvia Stacchiotti, Randall F Roberts, Dario Callegaro, Alessandro Gronchi","doi":"10.1002/jso.27799","DOIUrl":"10.1002/jso.27799","url":null,"abstract":"<p><strong>Background: </strong>In retroperitoneal leiomyosarcoma (RP LMS), the predominant issue is distant metastasis (DM). We sought to determine variables associated with this outcome and disease-specific death (DSD).</p><p><strong>Methods: </strong>Data were retrospectively collected on patients with primary RP LMS treated at a high-volume center from 2002 to 2023. For inferior vena cava (IVC)-origin tumors, the extent of macroscopic vascular invasion was re-assessed on each resection specimen and correlated with preoperative cross-sectional imaging. Crude cumulative incidences were estimated for DM and DSD and univariable and multivariable models were performed.</p><p><strong>Results: </strong>Among 157 study patients, median tumor size was 11.0 cm and 96.2% of cases were intermediate or high grade. All patients underwent complete resection, 56.7% received chemotherapy (43.9% neoadjuvant) and 14.6% received radiation therapy. Only tumor size and grade and not site of tumor origin (e.g., IVC vs. other) were associated with DM and DSD (p < 0.05). Among 64 patients with IVC-origin tumors, a novel 3-tier classification was devised based on the level of intimal disruption, which was associated with both DM (p = 0.007) and DSD (0.002).</p><p><strong>Conclusion: </strong>In primary RP LMS, only tumor size and grade are predictive of DM and DSD. In IVC-origin tumors, the extent of macroscopic vascular invasion is also strongly predictive of these outcomes.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1691-1699"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142000221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Omeed Moaven, Bigyan B Mainali, Cristian D Valenzuela, Gregory Russell, Tanto Cheung, Carlos U Corvera, Andrew D Wisneski, Charles H Cha, John A Stauffer, Perry Shen
{"title":"Prognostic implications of margin status in association with systemic treatment in a cohort study of patients with resection of colorectal liver metastases.","authors":"Omeed Moaven, Bigyan B Mainali, Cristian D Valenzuela, Gregory Russell, Tanto Cheung, Carlos U Corvera, Andrew D Wisneski, Charles H Cha, John A Stauffer, Perry Shen","doi":"10.1002/jso.27846","DOIUrl":"10.1002/jso.27846","url":null,"abstract":"<p><strong>Background: </strong>This study investigates the impact of margin status after colorectal liver metastasis (CLM) resection on outcomes of patients after neoadjuvant treatment versus those who underwent upfront resection.</p><p><strong>Methods: </strong>An international collaborative database of CLM patients who underwent surgical resection was used. Proportional hazard regression models were created for single and multivariable models to assess the relationship between independent measures and median overall survival (mOS).</p><p><strong>Results: </strong>R1 was associated with worse OS in the neoadjuvant group (mOS: 51.8 m for R0 vs. 26.0 m for R1; HR: 2.18). In the patients who underwent upfront surgery, R1 was not associated with OS. (mOS: 46.7 m for R0 vs. 42.6 m for R1). When patients with R1 in each group were stratified by adjuvant treatment, there was no significant difference in the neoadjuvant group, while in the upfront surgery group with R1, adjuvant treatment was associated with significant improvement in OS (mOS: 42.6 m for adjuvant vs. 25.0 m for no adjuvant treatment; HR: 0.21).</p><p><strong>Conclusion: </strong>R1 is associated with worse outcomes in the patients who receive neoadjuvant treatment with no significant improvement with the addition of adjuvant therapy, likely representing an aggressive tumor biology. R1 did not impact OS in patients with upfront surgery who received postoperative chemotherapy.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1654-1661"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142055854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bibek Aryal, Samantha Falls, Yue Yin, Patrick L Wagner, David L Bartlett, Rodney E Wegner, Casey J Allen
{"title":"Primary adrenal sarcomas: A national analysis of epidemiological trends, treatment patterns, and outcomes.","authors":"Bibek Aryal, Samantha Falls, Yue Yin, Patrick L Wagner, David L Bartlett, Rodney E Wegner, Casey J Allen","doi":"10.1002/jso.27836","DOIUrl":"10.1002/jso.27836","url":null,"abstract":"<p><strong>Background and objectives: </strong>Primary adrenal sarcoma (PAS) is an exceedingly rare malignancy with limited data available on its epidemiology, management, and outcomes. This study aimed to characterize the national incidence, treatment patterns, and survival of PAS utilizing a National Cancer Database.</p><p><strong>Methods: </strong>The National Cancer Database was queried for patients diagnosed with primary adrenal tumors from 2004 to 2019. Cases with sarcoma histology were identified as PAS. Annual incidence trends, histological distribution, treatment modalities (surgery, chemotherapy, radiation therapy), perioperative outcomes, and overall survival (OS) were analyzed.</p><p><strong>Results: </strong>Of 7213 primary adrenal tumor cases, 332 (4.6%) were PAS. The most common histological subtypes were leiomyosarcoma (37.3%), hemangiosarcoma (27.1%), and sarcoma not otherwise specified (6.0%). Most cases (71.7%) presented as locoregional disease. Treatment included surgery alone (47.8%), surgery plus chemotherapy and/or radiation (27.1%), chemotherapy/radiation alone (13.3%), or no treatment (13.9%). For surgical cases, the median length of stay was 5 days, the 30-day readmission rate was 3.36%, and the 30/90-day mortality rates were 3.65% and 9.90%, respectively. The 5-year OS rate for surgery alone was 43%, with a median OS of 34.6 months. For surgery with radiation/chemotherapy, the 5-year OS rate was 37.3%, with a median OS of 35.4 months.</p><p><strong>Conclusions: </strong>This largest analysis of PAS to date demonstrates that most cases present as locoregional disease amenable to surgical resection, with favorable outcomes. The role of adjuvant therapy remains unclear, as no significant survival difference was observed between surgery alone and multimodal treatment.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1700-1705"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142080721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Racial Disparities in Surgical Oncologic Research Funding and Impact on Diverse Populations.","authors":"Midori White, Fabian Johnston","doi":"10.1002/jso.27826","DOIUrl":"10.1002/jso.27826","url":null,"abstract":"<p><p>Racial disparities in surgical oncology research funding significantly impact minority researchers and diverse populations. This review explores historical factors contributing to the underrepresentation of minorities in academic medicine. Strategies for addressing these disparities include enhancing diversity in the physician workforce and improving funding opportunities for minority researchers, with the goal of improving patient outcomes and reducing cancer care disparities.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1447-1454"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142468507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Barriers to Cancer Care in the LGBTQ+ Community.","authors":"Shebiki Beaton, Tamra McKenzie-Johnson","doi":"10.1002/jso.27980","DOIUrl":"10.1002/jso.27980","url":null,"abstract":"<p><p>Individuals that identify as lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA) make up a medically underserved population, that experience disparities in cancer care. Specific cancer incidence and mortality in this population is understudied, as national cancer registries and cancer surveys have limited data about sexual orientation or gender identity. The LGBTQIA community face disparate cancer outcomes in prevention, screening, diagnosis, and treatment due to barriers that limit access to cancer care. To better understand these concerns, we will take a deep dive into the three primary barriers that prevent access to cancer care: personal, provider and systems barriers.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1490-1495"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R C Walker, P Pezeshki, S Barman, S Ngan, G Whyte, J Lagergren, J Gossage, M Kelly, C Baker, W Knight, M A West, A R Davies
{"title":"Exercise During Chemotherapy for Cancer: A Systematic Review.","authors":"R C Walker, P Pezeshki, S Barman, S Ngan, G Whyte, J Lagergren, J Gossage, M Kelly, C Baker, W Knight, M A West, A R Davies","doi":"10.1002/jso.27845","DOIUrl":"10.1002/jso.27845","url":null,"abstract":"<p><p>Exercise prehabilitation may improve the tolerance and effectiveness of anticancer treatments such as chemotherapy. This systematic review assesses the impact of exercise on chemotherapy outcomes and identifies research priorities. Nineteen studies (1418 patients) were reviewed, including 11 randomised controlled trials and eight observational studies. Exercise led to improvements in body composition, fitness, strength and quality of life (QoL) across studies. Exercise can be safely and effectively delivered during chemotherapy. Limited standardisation and small sample sizes highlight the need for larger, better-designed studies to optimise this low-cost intervention.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1725-1736"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11849706/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142502757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charalampos Siotos, Sydney H Arnold, Michelle Seu, Lilia Lunt, Jennifer Ferraro, Daniel Najafali, George Damoulakis, Joshua Vorstenbosch, Babak J Mehrara, Anuja K Antony, Deana S Shenaq, George Kokosis
{"title":"Breast cancer-related lymphedema: A comprehensive analysis of risk factors.","authors":"Charalampos Siotos, Sydney H Arnold, Michelle Seu, Lilia Lunt, Jennifer Ferraro, Daniel Najafali, George Damoulakis, Joshua Vorstenbosch, Babak J Mehrara, Anuja K Antony, Deana S Shenaq, George Kokosis","doi":"10.1002/jso.27841","DOIUrl":"10.1002/jso.27841","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer-related lymphedema is a devastating condition that negatively affects the quality of life of breast cancer survivors. We sought to identify risk factors that predicted the timing and development of lymphedema.</p><p><strong>Methods: </strong>Women with breast cancer that underwent sentinel lymph node biopsy (SLNB) or axillary lymph node dissection (ALND) at our institution between 2007 and 2022 were identified and sociodemographic and clinical information was extracted. We used logistic regression analysis to identify risk factors for lymphedema and performed cox-regression analysis to predict the timing of lymphedema presentation after surgery.</p><p><strong>Results: </strong>We identified 1,223 patients, of which 161 (13.2%) developed lymphedema within 1.8 (mean, SD = 2.5) years postoperatively. Patients with SLNB had significantly lower odds for lymphedema development (vs. ALND, OR = 0.29 [0.14-0.57]). Patients between 40 and 49 years of age, and 50-59 (vs. <40 years, OR = 2.14 [1.00-4.60]; OR = 2.42, [1.13-5.16] respectively), African American patients (vs. Caucasian, OR = 1.86 [1.12-3.09]), patients with stage II, III, and IV disease (vs. stage 0, OR = 3.75 [1.36-10.33]; OR = 6.62 [2.14-20.51]; OR = 9.36 [2.94-29.81]), and patients with Medicaid (vs. private insurance, OR = 3.56 [1.73-7.28]) had higher rates of lymphedema. Cox-regression analysis showed that African American (HR = 1.71 [1.08-2.70]), higher BMI (HR = 1.03 [1.00-1.06]), higher stage (stage II, HR = 2.22 [1.05-7.09]; stage III, HR = 5.26 [1.86-14.88]; stage IV, HR = 6.13 [2.12-17.75]), and Medicaid patients (HR = 2.15 [1.12-3.80]) had higher hazards for lymphedema. Patients with SLNB had lower hazards for lymphedema (HR = 0.43 [0.87-2.11]).</p><p><strong>Conclusion: </strong>Lymphedema has identifiable risk factors that can reliably be used to predict the chances of lymphedema development and enable clinicians to educate patients better and formulate treatment plans accordingly.</p><p><strong>Level of evidence: </strong>III (Retrospective study).</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":"1521-1531"},"PeriodicalIF":2.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142073138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}