Rare tumors in pediatrics. First report in Argentina

Casanovas, Alejandra; Viso, Marianela; Felizzia, Guido; Rose, Adriana; Mattone, Celeste; Gazek, Natalia; Cervini, Bettina; Giuseppucci, Carlos; Cacciavillano, Walter

doi:10.5546/aap.2021.eng.401

Cited by 1 publication

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References 10 publications

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“…Unlike the research by Junjiong Zheng et al, we excluded pediatric patients below 15 years old, when including the age variable ( 41 ). This is because pediatric patients may have a different course because of pathology and patients may often be affected by genetic disorders and therefore they show different clinical and prognostic characteristics than the adult population ( 42 , 43 ). Our study demonstrates that in adult adrenal patients age is the largest factor affecting prognosis instead of the smaller effect on children in their research ( 44 , 45 ).…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a prognostic model for predicting overall survival of primary adrenal malignant tumor patients: A population-based study with 1,080 patients

Xie

Zhang²,

Cao³

2022

Front. Surg.

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ObjectivePrimary adrenal malignant tumor is rare. The factors affecting the prognosis remain poorly defined. This study targeted to construct and corroborate a model for predicting the overall survival of adrenal malignant tumor patients.MethodsWe investigated the SEER database for patients with primary adrenal malignant tumor. 1,080 patients were divided into a construction cohort (n = 756) and a validation cohort (n = 324), randomly. The prognostic factors for overall survival were evaluated using univariate and multivariate Cox analyses. The nomogram was constructed and then validated with C-index, calibration curve, time-dependent ROC curve, and decision curve analysis in both cohorts. Then we divided the patients into 3 different risk groups according to the total points of the nomogram and analyzed their survival status by Kaplan-Meier curve with log-rank test.ResultsThe baseline characteristics of these two cohorts were not statistically different (P > 0.05). Using univariate and multivariate Cox analyses, 5 variables, including age, tumor size, histological type, tumor stage, and surgery of primary site, were distinguished as prognostic factors (P < 0.05). Based on these variables, we constructed a nomogram to predict the 3- year, 5- year, and 10-year overall survival. The C-indexes were 0.780 (0.760–0.800) in the construction cohort and 0.780 (0.751–0.809) in the validation cohort. In both cohorts, the AUC reached a fairly high level at all time points. The internal and external calibration curves and ROC analysis showed outstanding accuracy and discrimination. The decision curves indicated excellent clinical usefulness. The best cut-off values for the total points of the nomogram were 165.4 and 243.1, and the prognosis was significantly different for the three different risk groups (P < 0.001).ConclusionWe successfully constructed a model to predict the overall survival of primary adrenal malignant tumor patients. This model was validated to perform brilliantly internally and externally, which can assist us in individualized clinical management.

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