scholarly journals Corrigendum: A competing-risks nomogram and recursive partitioning analysis for cause-specific mortality in patients with esophageal neuroendocrine carcinoma

2019 ◽  
Vol 32 (6) ◽  
Author(s):  
G Zhang ◽  
B Wu ◽  
X Wang ◽  
J Li
2019 ◽  
Vol 32 (11) ◽  
Author(s):  
G Zhang ◽  
B Wu ◽  
X Wang ◽  
J Li

SUMMARY The objective of this study is to estimate the probability of cause-specific mortality using a competing-risks nomogram and recursive partitioning analysis in a large population-based cohort of patients with esophageal neuroendocrine carcinoma. The surveillance, epidemiology and end results database was used to identify 162 patients diagnosed with esophageal neuroendocrine carcinoma from 1998 to 2014. We estimated a cumulative incidence function for cause-specific mortality. A nomogram was constructed by using a proportional subdistribution hazard model, validated using bootstrap cross-validation, and evaluated with a decision curve analysis to assess its clinical utility. Finally, we performed risk stratification using a recursive partitioning analysis to divide patients with esophageal neuroendocrine carcinoma into clinically useful prognostic groups. Tumor location, distant metastasis, surgery, radiotherapy, and chemotherapy were significantly associated with cause-specific mortality. The calibration plots demonstrated good concordance between the predicted and actual outcomes. The discrimination performance of a Fine–Gray model was evaluated by using the c-index, which was 0.723 for cause-specific mortality. The decision curve analysis ranged from 0.268 to 0.968 for the threshold probability at which the risk model provided net clinical benefits relative to hypothetical all-screening and no-screening scenarios. The risk groups stratified by a recursive partitioning analysis allowed significant distinction between cumulative incidence curves. We determined the probability of cause-specific mortality in patients with esophageal neuroendocrine carcinoma and developed a nomogram and recursive partitioning analysis stratification system based on a competing-risks model. The nomogram and recursive partitioning analysis appear to be suitable for risk stratification of cause-specific mortality in patients with esophageal neuroendocrine carcinoma and will help clinicians to identify patients at increased risk of cause-specific mortality to guide treatment and surveillance decisions.


2017 ◽  
Vol 35 (3) ◽  
pp. 281-290 ◽  
Author(s):  
Takashi Eguchi ◽  
Sarina Bains ◽  
Ming-Ching Lee ◽  
Kay See Tan ◽  
Boris Hristov ◽  
...  

Purpose To perform competing risks analysis and determine short- and long-term cancer- and noncancer-specific mortality and morbidity in patients who had undergone resection for stage I non–small-cell lung cancer (NSCLC). Patients and Methods Of 5,371 consecutive patients who had undergone curative-intent resection of primary lung cancer at our institution (2000 to 2011), 2,186 with pathologic stage I NSCLC were included in the analysis. All preoperative clinical variables known to affect outcomes were included in the analysis, specifically, Charlson comorbidity index, predicted postoperative (ppo) diffusing capacity of the lung for carbon monoxide, and ppo forced expiratory volume in 1 second. Cause-specific mortality analysis was performed with competing risks analysis. Results Of 2,186 patients, 1,532 (70.1%) were ≥ 65 years of age, including 638 (29.2%) ≥ 75 years of age. In patients < 65, 65 to 74, and ≥ 75 years of age, 5-year lung cancer–specific cumulative incidence of death (CID) was 7.5%, 10.7%, and 13.2%, respectively (overall, 10.4%); noncancer-specific CID was 1.8%, 4.9%, and 9.0%, respectively (overall, 5.3%). In patients ≥ 65 years of age, for up to 2.5 years after resection, noncancer-specific CID was higher than lung cancer–specific CID; the higher noncancer-specific, early-phase mortality was enhanced in patients ≥ 75 years of age than in those 65 to 74 years of age. Multivariable analysis showed that low ppo diffusing capacity of lung for carbon monoxide was an independent predictor of severe morbidity ( P < .001), 1-year mortality ( P < .001), and noncancer-specific mortality ( P < .001), whereas low ppo forced expiratory volume in 1 second was an independent predictor of lung cancer–specific mortality ( P = .002). Conclusion In patients who undergo curative-intent resection of stage I NSCLC, noncancer-specific mortality is a significant competing event, with an increasing impact as patient age increases.


Blood ◽  
1990 ◽  
Vol 75 (1) ◽  
pp. 166-173 ◽  
Author(s):  
JJ Shuster ◽  
JM Falletta ◽  
DJ Pullen ◽  
WM Crist ◽  
GB Humphrey ◽  
...  

Two hundred fifty-three children with newly diagnosed T-cell acute lymphoblastic leukemia (ALL), who were treated uniformly with modified LSA2L2 therapy, were evaluated using univariate and recursive partition analyses to define clinical or biologic features associated with risk of treatment failure. Overall event-free survival (EFS) at 4 years was 43% (SE = 4%). Factors examined included white blood cell (WBC) level, age, gender, race (black v other), presence of a mediastinal mass, hepatomegaly, splenomegaly, marked lymphadenopathy, hemoglobin level, platelet count, blast cell expression of antigens such as the common acute lymphoblastic leukemia antigen (CALLA, CD10), HLA-DR, and T-cell- associated antigens (CD3, CD4, CD8, CD7, CD5, and THY). Univariate analysis showed that age less than or equal to 5 or less than or equal to 7 years, WBC level less than 10, less than 25, less than 50 or less than 100 x 10(3)/microL, and blast cell expression of CD4, CD8, or CALLA were associated with significantly better EFS, while hepatomegaly and splenomegaly were associated with worse EFS. Recursive partitioning analysis showed that the most important single favorable prognostic factor was a WBC level less than 50 x 10(3)/microL and, for patients with WBC counts below this level, the most important predictor of EFS was blast cell expression of the pan-T antigen defined by the monoclonal antibody (MoAb), L17F12 (CD5). For patients with higher WBC levels, the most important predictor of EFS was blast cell expression of THY antigen. The recursive partitioning analysis defined three groups of patients with widely varied prognoses identified as follows: (1) those with a WBC count less than 50 x 10(3)/microL who lacked massive splenomegaly and had blasts expressing CD5 had the best prognosis (66%, SE = 7%, EFS 4 years, n = 84); (2) those with (b1) WBC counts less than 50 x 10(3)/microL with either massive splenomegaly or who had blasts lacking CD5 expression, or (b2) WBC counts greater than 50 x 10(3)/microL with expression of the THY antigen had an intermediate prognosis (39%, SE = 7% EFS at 4 years, n = 94); (3) those with WBC counts greater than 50 x 10(3)/microL and whose blasts lacked expression of THY antigen had the poorest outcome (EFS = 19% at 4 years, SE = 8%, n = 63). A three-way comparison of EFS according to these groupings showed significant differences among the three patient groups (P less than .001). The recursive partitioning was able to classify 241 (95%) of the patients.(ABSTRACT TRUNCATED AT 400 WORDS)


Sign in / Sign up

Export Citation Format

Share Document