scholarly journals Survival Benefit of Adjuvant Chemotherapy After Pancreatoduodenectomy for Ampullary Adenocarcinoma: a Propensity-Matched National Cancer Database (NCDB) Analysis

2020 ◽  
Author(s):  
Sivesh K. Kamarajah ◽  
Filip Bednar ◽  
Clifford S. Cho ◽  
Hari Nathan
Keyword(s):  
Adjuvant Chemotherapy ◽  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Margin Status ◽  
Cox Proportional Hazards Model ◽  
National Cancer Database ◽  
Neoadjuvant Radiotherapy ◽  
Ampullary Adenocarcinoma

Abstract Background The benefit of adjuvant chemotherapy (AC) after pancreatoduodenectomy (PD) for ampullary adenocarcinoma is uncertain. We aimed to evaluate the association of AC with survival in patients with resected ampullary adenocarcinoma. Methods Using the National Cancer Database (NCDB) data from 2004 to 2016, patients with non-metastatic ampullary adenocarcinoma who underwent PD were identified. Patients with neoadjuvant radiotherapy and chemotherapy and survival < 6 months were excluded. Propensity score matching was used to account for treatment selection bias. A multivariable Cox proportional hazards model was then used to analyze the association of AC with survival. Results Of 3186 (43%) AC and 4172 (57%) no AC (noAC) patients, 1720 AC and 1720 noAC patients remained in the cohort after matching. Clinicopathologic variables were well balanced after matching. After matching, AC was associated with improved survival (median 47.5 vs 39.6 months, p = 0.003), which remained after multivariable adjustment (HR: 0.83, CI95%: 0.76–0.91, p < 0.001). Multivariable interaction analyses showed that this benefit was seen irrespective of nodal status: N0 (HR: 0.81, CI95%: 0.68–0.97, p < 0.001), N1 (HR: 0.65, CI95%: 0.61–0.70, p < 0.001), N2 (HR: 0.73, CI95%: 0.59–0.90, p = 0.003), N3 (HR: 0.59, CI95%: 0.44–0.78, p < 0.001); and margin status: R0 (HR: 0.85, CI95%: 0.77–0.94, p < 0.001), R1 (HR: 0.69, CI95%: 0.48–1.00, p < 0.001). Stratified analyses by nodal and margin status demonstrated consistent results. Conclusion In this large retrospective cohort study, AC after resected ampullary adenocarcinoma was associated with a survival benefit in patients, including patients with node-negative and margin-negative disease.

Proliferation-dominant high-grade astrocytoma: survival benefit associated with extensive resection of FLAIR abnormality region

2020 ◽  
Vol 132 (4) ◽  
pp. 998-1005 ◽  
Author(s):  
Haihui Jiang ◽  
Yong Cui ◽  
Xiang Liu ◽  
Xiaohui Ren ◽  
Mingxiao Li ◽  
...  
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Characteristic Curve ◽  
Extent Of Resection ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
High Grade ◽  
Extensive Resection ◽  
High Grade Astrocytoma

OBJECTIVEThe aim of this study was to investigate the relationship between extent of resection (EOR) and survival in terms of clinical, molecular, and radiological factors in high-grade astrocytoma (HGA).METHODSClinical and radiological data from 585 cases of molecularly defined HGA were reviewed. In each case, the EOR was evaluated twice: once according to contrast-enhanced T1-weighted images (CE-T1WI) and once according to fluid attenuated inversion recovery (FLAIR) images. The ratio of the volume of the region of abnormality in CE-T1WI to that in FLAIR images (VFLAIR/VCE-T1WI) was calculated and a receiver operating characteristic curve was used to determine the optimal cutoff value for that ratio. Univariate and multivariate analyses were performed to identify the prognostic value of each factor.RESULTSBoth the EOR evaluated from CE-T1WI and the EOR evaluated from FLAIR could divide the whole cohort into 4 subgroups with different survival outcomes (p < 0.001). Cases were stratified into 2 subtypes based on VFLAIR/VCE-T1WIwith a cutoff of 10: a proliferation-dominant subtype and a diffusion-dominant subtype. Kaplan-Meier analysis showed a significant survival advantage for the proliferation-dominant subtype (p < 0.0001). The prognostic implication has been further confirmed in the Cox proportional hazards model (HR 1.105, 95% CI 1.078–1.134, p < 0.0001). The survival of patients with proliferation-dominant HGA was significantly prolonged in association with extensive resection of the FLAIR abnormality region beyond contrast-enhancing tumor (p = 0.03), while no survival benefit was observed in association with the extensive resection in the diffusion-dominant subtype (p=0.86).CONCLUSIONSVFLAIR/VCE-T1WIis an important classifier that could divide the HGA into 2 subtypes with distinct invasive features. Patients with proliferation-dominant HGA can benefit from extensive resection of the FLAIR abnormality region, which provides the theoretical basis for a personalized resection strategy.

Multiple chemotherapy (CT) lines in metastatic breast cancer (MBC): Which survival benefit for women with hormone receptor (HR)-positive disease?

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 589-589 ◽  
Author(s):  
Raffaella Palumbo ◽  
Antonio Bernardo ◽  
Alberto Riccardi ◽  
Federico Sottotetti ◽  
Cristina Teragni ◽  
...  
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Univariate Analysis ◽  
Metastatic Breast ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Factors Affecting ◽  
Significant Difference ◽  
Third Line

589 Background: Although the development of modern systemic therapies has clearly improved outcome of patients with MBC, the true impact of further CT on overall survival (OS) and QoL of these women is still debated. The aim of this study was to determine which benefit could be brought by successive CT lines in patients with HR-positive disease, aiming to identify factors affecting outcome and survival. Methods: This retrospective analysis included 980 women treated with CT for MBC at our Institution over a eight year period (July 2000-July 2008). With OS data updated in March 2010, the median follow-up was 146 months (range 48-198), OS and time to treatment failure (TTF) were calculated according to the Kaplan-Meyer method for each CT line. Cox proportional hazards model was used to identify factors that could influence TTF and OS. Results: Median OS evaluated from day 1 of each CT line decreased with the line number from 34.8 months for first line to 8.2 months for 7 or more lines). Median TTF ranged from 9.2 months to 7.8 and 6.4 months for the first, second and third line, respectively, with no significant decrease observed beyond the third line (median 5.2 months, range 4.8-6.2). No statistically significant difference was found between HR-positive and HR-negative patients in terms of OS and TTF by each CT line. In univariate analysis factors positively linked to a longer duration of TTF for each CT line were positive hormonal receptor status, more than 3 hormonotherapy lines, absence of liver metastasis, adjuvant CT exposure, response to CT for the metastatic disease; in the multivariate analysis the duration of TTF for each CT line was the only one factor with significant impact on survival benefit for subsequent treatments, in both HR-positive and negative populations (p<0.001). Conclusions: Our results support the benefit of multiple lines of CT in a significant subset of women treated for MBC, since each CT line may contribute to a longer OS. Of interest, such a benefit was also observed for patients with HR-positive disease, although the number of hormonotherpy lines received did not significantly influence the outcome.

Prognostic Factors and Survival Outcomes among Patients with Breast Cancer and Brain Metastases at Diagnosis: A National Cancer Database Analysis

Oncology ◽  
2021 ◽  
Vol 99 (5) ◽  
pp. 280-291
Author(s):  
Brittney S. Zimmerman ◽  
Danielle Seidman ◽  
Krystal P. Cascetta ◽  
Meng Ru ◽  
Erin Moshier ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Brain Metastases ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Breast Cancer Diagnosis ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
National Cancer Database ◽  
Hazards Model ◽  
Sites Of Metastases

Introduction: The aim of this study was to assess for clinicopathologic and socioeconomic features that predict improved survival for patients with advanced breast cancer with synchronous brain metastases at diagnosis. Methods: We utilized the National Cancer Database (NCDB) to identify all patients with brain metastases present at diagnosis, with adequate information on receptor status (ER, PR, Her2), clinical T stage of cT1-4, clinical M1, with 3,943 patients available for analysis. The association between brain metastases patterns and patient/disease variables was examined by robust Poisson regression model. Cox proportional hazards model was used to quantify the associations between overall survival (OS) and these variables. Results: In univariable analysis, OS was significantly associated with the number of sites of metastases (p < 0.0001). Patients with 2 or more additional extracranial sites of metastases had significantly worse OS (median 8.8 months, 95% confidence interval [CI] 7.8, 9.9) than patients with brain metastases only (median OS 10.6 months, 95% CI 9.4, 12.9) or brain metastases plus one other extracranial site of metastases (median OS 13.1 months, 95% CI 11.8, 14.4). Risk factors which predicted poor prognosis included triple-negative disease, high comorbidity score, poorly differentiated tumors, invasive lobular histology, multi-organ involvement of metastases, and government or lack of insurance. Factors which improve survival include younger age and Hispanic race. Discussion/Conclusion: Using a large NCDB, we identified various factors associated with prognosis for patients with brain metastases at the time of breast cancer diagnosis. Insurance status and related socioeconomic challenges provide potential areas for improvement in care for these patients. This information may help stratify patients into prognostic categories at the time of diagnosis to improve treatment plans.

scholarly journals Second Primary Oral Squamous Cell Carcinoma After Radiotherapy: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Hao Song ◽  
Ranran Yang ◽  
Kailiu Wu ◽  
Chao Lou ◽  
Meng Xiao ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Clinicopathological Characteristics ◽  
Cox Proportional Hazards ◽  
Margin Status ◽  
Cox Proportional Hazards Model ◽  
Second Primary

Abstract Background：The clinical characteristics of second primary tumors in oral cavity after radiation was a special subtype of oral cancer and remained poorly studied. The purpose of the present study was to investigate the clinicopathological characteristics and prognostic factors of second primary oral squamous cell carcinoma (OSCC) after radiotherapy for head and neck cancer.Methods：The clinicopathological characteristics of 48 OSCC patients underwent radiotherapy for head and neck cancer were retrospectively analyzed by Kaplan-Meier survival analysis and Cox proportional hazards model, including gender, age, alcohol consumption, smoking, clinical stage, margin status, regional lymph node status, tumor differentiation and treatment mode.Results：The second primary OSCC mostly occurred on the tongue (18/48), bucca (12/48) and gingiva (10/48), and the 3- and 5-year overall survival (OS) was 60.3% and 39.4%, respectively. Margin status (p=0.001, log-rank=10.777) and extranodal extension (p=0.045, log-rank=4.017) were significantly associated with OS, while only margin status was found to be an independent prognostic factor of OS in the Cox proportional hazards model (p=0.003, HR=3.976).Conclusions： OSCC patients underwent radiotherapy for head and neck cancer show poor survival outcomes. Margin status is an independent prognostic factor of second primary OSCC, and the prognostic of second primary OSCC was not in accordance with sporadic OSCC.

scholarly journals Survival Benefit of Post-Operative Radiotherapy in Patients with Resectable Pancreatic Head Adenocarcinoma

2020 ◽  
Author(s):  
yu gan ◽  
su song ◽  
li bo ◽  
cheng fan
Keyword(s):  
Survival Benefit ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Pancreatic Head ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Beneficial Effects ◽  
Hazards Model ◽  
Before And After

Abstract Background Controversy still exis ts with regard to the beneficial effects of adjuvant radiotherapy (RT) on patients with resectable pancreatic head adenocarcinoma. The aim was to investigate the role of post-operative RT in resectable pancreatic head adenocarcinoma.Methods A total of 2092 patients with resectable pancreatic head adenocarcinoma were enrolled from 2004 to 2016. The data of these patients were obtained from the Surveillance, Epidemiology and End Results (SEER) database of the National Cancer Institute. The propensity score matching method was used to avoid selection bias of the treatment. A multivariable Cox proportional hazards model was used in analyzing the survival benefit from the utilization of post-operative RT.Results In total, 186 patients received post-operative RT after pancreatic head adenocarcinoma resection. Compared with patients who only underwent surgery (n = 1906), the subjects who had postoperative RT were younger (P = 0.000) and had a greater TNM stage (P = 0.00). The baseline characteristics of the two groups were well matched, and more notable in the clinicopathologic and demographic aspects. Before and after matching, the patients who received post-operative RT after pancreatic head adenocarcinoma resection had a higher survival rate than those who underwent only resection (P = 0.00). Subgroups analyses revealed that this benefit was restricted to patients with Lymph node invasion (P = 0.00).Conclusions Pancreatic head adenocarcinoma resection followed by post-operative RT demonstrated considerable survival benefit in relation to surgery alone.

The effect of delay of adjuvant chemotherapy on survival in patients with resected stage II and III gastric cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e15144-e15144
Author(s):  
Minkyu Jung ◽  
Hyoung Soon Park ◽  
Han Na Park ◽  
Seungtaek Lim ◽  
Ji Soo Park ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Univariate Analysis ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Stage Ii ◽  
Hazards Model ◽  
Resected Stage

e15144 Background: Adjuvant chemotherapy improved survival in patients with gastric cancer. However, the association between the timing of adjuvant chemotherapy and survival has not been investigated. Methods: Patients with stage II and III gastric cancer who received adjuvant chemotherapy at Yonsei University Health System were included in this study. Time to adjuvant chemotherapy, relapse free survival (RFS), and overall survival (OS) were calculated from the day of surgery. RFS and OS were compared using log-rank test and multivariate analysis by the Cox proportional hazards model. Results: Among 675 patients, 226 patients (33.5%) began adjuvant chemotherapy within 1 month, 421 patients (60.1%) began adjuvant chemotherapy in 1 to 2 months, and 28 patients (4.1%) began adjuvant chemotherapy > 2 months after surgery. Intervals > 2 months between chemotherapy and surgery was associated with worse RFS and OS in both univariate analysis (RFS, p=0.039; OS, p=0.022, respectively) and a Cox proportional hazards model (RFS, hazard ratio [HR] =1.81, 95% confidential interval [CI] =1.05-3.12; OS, HR=1.96, 95% CI=1.11-3.47, respectively). Conclusions: Only 4.1% of patients initiated adjuvant chemotherapy >2 months after the date of curative surgery. Adjuvant chemotherapy delay > 2 months after surgical resection is associated with worse survival among patients with resected stage II and III gastric cancer.

Age at Exposure to Parental Suicide and the Subsequent Risk of Suicide in Young People

Crisis ◽  
2018 ◽  
Vol 39 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Kuan-Ying Lee ◽  
Chung-Yi Li ◽  
Kun-Chia Chang ◽  
Tsung-Hsueh Lu ◽  
Ying-Yeh Chen
Keyword(s):  
Young People ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Birth Registry ◽  
Data Set ◽  
Parental Suicide ◽  
The Impact ◽  
Age At Exposure

Abstract. Background: We investigated the age at exposure to parental suicide and the risk of subsequent suicide completion in young people. The impact of parental and offspring sex was also examined. Method: Using a cohort study design, we linked Taiwan's Birth Registry (1978–1997) with Taiwan's Death Registry (1985–2009) and identified 40,249 children who had experienced maternal suicide (n = 14,431), paternal suicide (n = 26,887), or the suicide of both parents (n = 281). Each exposed child was matched to 10 children of the same sex and birth year whose parents were still alive. This yielded a total of 398,081 children for our non-exposed cohort. A Cox proportional hazards model was used to compare the suicide risk of the exposed and non-exposed groups. Results: Compared with the non-exposed group, offspring who were exposed to parental suicide were 3.91 times (95% confidence interval [CI] = 3.10–4.92 more likely to die by suicide after adjusting for baseline characteristics. The risk of suicide seemed to be lower in older male offspring (HR = 3.94, 95% CI = 2.57–6.06), but higher in older female offspring (HR = 5.30, 95% CI = 3.05–9.22). Stratified analyses based on parental sex revealed similar patterns as the combined analysis. Limitations: As only register-­based data were used, we were not able to explore the impact of variables not contained in the data set, such as the role of mental illness. Conclusion: Our findings suggest a prominent elevation in the risk of suicide among offspring who lost their parents to suicide. The risk elevation differed according to the sex of the afflicted offspring as well as to their age at exposure.

scholarly journals Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD

Risks ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 103
Author(s):  
Morne Joubert ◽  
Tanja Verster ◽  
Helgard Raubenheimer ◽  
Willem D. Schutte
Keyword(s):  
Survival Analysis ◽  
Financial Reporting ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Reporting Standard ◽  
International Financial Reporting Standard ◽  
Ifrs 9

Survival analysis is one of the techniques that could be used to predict loss given default (LGD) for regulatory capital (Basel) purposes. When using survival analysis to model LGD, a proposed methodology is the default weighted survival analysis (DWSA) method. This paper is aimed at adapting the DWSA method (used to model Basel LGD) to estimate the LGD for International Financial Reporting Standard (IFRS) 9 impairment requirements. The DWSA methodology allows for over recoveries, default weighting and negative cashflows. For IFRS 9, this methodology should be adapted, as the estimated LGD is a function of in the expected credit losses (ECL). Our proposed IFRS 9 LGD methodology makes use of survival analysis to estimate the LGD. The Cox proportional hazards model allows for a baseline survival curve to be adjusted to produce survival curves for different segments of the portfolio. The forward-looking LGD values are adjusted for different macro-economic scenarios and the ECL is calculated for each scenario. These ECL values are probability weighted to produce a final ECL estimate. We illustrate our proposed IFRS 9 LGD methodology and ECL estimation on a dataset from a retail portfolio of a South African bank.

scholarly journals Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maryam Farhadian ◽  
Sahar Dehdar Karsidani ◽  
Azadeh Mozayanimonfared ◽  
Hossein Mahjub
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Coronary Intervention ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Hazards Model ◽  
Cerebrovascular Events ◽  
Long Term Follow Up ◽  
Stent Length

Abstract Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. Methods The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. Results Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01–1.05), diabetes (HR = 2.17, 95% CI 1.29–3.66), smoking (HR = 2.41, 95% CI 1.46–3.98), and stent length (HR = 1.74, 95% CI 1.11–2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. Conclusion Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

scholarly journals Elevated plasma growth and differentiation factor 15 predicts incident anemia in older adults aged 60 years and older

2020 ◽  
Author(s):  
Yuko Yamaguchi ◽  
Marta Zampino ◽  
Toshiko Tanaka ◽  
Stefania Bandinelli ◽  
Yusuke Osawa ◽  
...  
Keyword(s):  
Older Adults ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Differentiation Factor ◽  
Hazards Model ◽  
Increased Risk ◽  
The Relationship

Abstract Background Anemia is common in older adults and associated with greater morbidity and mortality. The causes of anemia in older adults have not been completely characterized. Although elevated circulating growth and differentiation factor 15 (GDF-15) has been associated with anemia in older adults, it is not known whether elevated GDF-15 predicts the development of anemia. Methods We examined the relationship between plasma GDF-15 concentrations at baseline in 708 non-anemic adults, aged 60 years and older, with incident anemia during 15 years of follow-up among participants in the Invecchiare in Chianti (InCHIANTI) Study. Results During follow-up, 179 (25.3%) participants developed anemia. The proportion of participants who developed anemia from the lowest to highest quartile of plasma GDF-15 was 12.9%, 20.1%, 21.2%, and 45.8%, respectively. Adults in the highest quartile of plasma GDF-15 had an increased risk of developing anemia (Hazards Ratio 1.15, 95% Confidence Interval 1.09, 1.21, P&lt;.0001) compared to those in the lower three quartiles in a multivariable Cox proportional hazards model adjusting for age, sex, serum iron, soluble transferrin receptor, ferritin, vitamin B12, congestive heart failure, diabetes mellitus, and cancer. Conclusions Circulating GDF-15 is an independent predictor for the development of anemia in older adults.

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