Trends and predictors of survival for small cell carcinoma of the cervix uteri: A SEER population study

Song, Tao; Wan, Qiuyan; Fang, Min; Zhan, Wenming; Xu, Hongen; Shou, Huafeng

doi:10.1016/j.ejogrb.2020.07.054

Cited by 9 publications

(9 citation statements)

References 18 publications

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“…The median survival time for all included patients in the present study was approximately 24 months, with an estimated 5-year OS rate of 31.4%, comparable to a previous SEER study, 12 but shorter than a previous systematic review reporting a median OS time of 40 months. 1 The discrepancy may be explained by the fact that the latter study included 7.6% of other NECC histological subtypes, which had a better prognosis.…”

Section: Discussionsupporting

confidence: 78%

A Prognostic Nomogram for Predicting Overall Survival in Patients With Small-Cell Carcinoma of the Uterine Cervix: A SEER Population-Based Study

Chen

Lin

et al. 2022

Technol Cancer Res Treat

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Background: This study aimed to develop a prognostic model based on the Surveillance, Epidemiology, and End Results (SEER) database to predict the overall survival (OS) of small cell carcinoma of the uterine cervix (SmCC). Methods: Between 1975 and 2016, a total of 401 patients were included, and their comprehensive sociodemographic and clinicopathological characteristics were collected. Univariate and multivariate Cox regression models were used to screen for independent prognostic factors. The identified factors were used to conduct a nomogram for predicting the OS of SmCC. The performance of the nomogram was determined using area under the receiver operating characteristic curve (AUC), concordance index (C-index), calibration curve, and decision curve analysis (DCA) metrics. Results: The median survival time of all patients was about 24 months (95% confidence interval [95% CI] [1.50-2.17]). Age (hazard ratio [HR] = 1.693 for 45-59 vs 21-34, 95% CI [1.140-2.513], P = .009; HR = 2.836 for 60-92 vs 21-34, 95% CI [1.851-4.345], P < .001), positive nodes (HR = 2.384, 95% CI [1.437-3.955], P < .001), regional nodes number ≥12 (HR = 0.500, 95% CI [0.282-0.886], P = .018), and treatment method (HR = 0.409 for surgery vs no, 95% CI [0.267-0.628], P < .001; HR = 0.649 for chemotherapy vs no, 95% CI [0.478-0.881)], P = .006) were independent factors of OS. Young patients who had surgical resection or chemotherapy, negative lymph nodes, and regional lymph nodes ≥12 had a longer survival time. These clinical factors were utilized to construct a nomogram for predicting OS. The AUC and C-index were higher than 0.7, indicating the good discriminating ability of the nomogram. The calibrations were all around the 45-degree line, indicating excellent consistency between the prediction of the model and actual observations. The DCA plots supported the clinical utility of the nomogram. Conclusion: The constructed nomogram is expected to help predict the prognosis of SmCC and guide patient treatment.

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Section: Discussionsupporting

confidence: 78%

A Prognostic Nomogram for Predicting Overall Survival in Patients With Small-Cell Carcinoma of the Uterine Cervix: A SEER Population-Based Study

Chen

Lin

et al. 2022

Technol Cancer Res Treat

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“…The non-linear correlation between age at diagnosis and all CODs was investigated by means of a restricted cubic spline (RCS) 18 , 19 . Methods for multivariate and univariate analysis by Cox regression model were described in our previous studies 20 , 21 . In addition, considering that stage Ia HCC patients could enjoy long-term survival, we further regarded HCC-NDSD as a competing event in this cohort.…”

Section: Methodsmentioning

confidence: 99%

Impact of marital status on overall survival in patients with early-stage hepatocellular carcinoma

Chen

et al. 2022

Sci Rep

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The purpose of the present research was to assess the prognostic impact of marital status in hepatocellular carcinoma (HCC) patients with tumors ≤ 2 cm (stage Ia) based on the data from the Surveillance, Epidemiology, and End Results (SEER) database. Patients who received a histopathologic HCC diagnosis between 2004 and 2016 were recruited. Overall survival (OS) was the major outcome measure. The Cox regression model and the Fine-Gray regression model were used for the purpose of comparing and examining the prognostic value of marital status for OS. The data for a total of 2446 stage Ia HCC patients were extracted from the database. The median overall survival time was 96.0 months, with 5-year and 10-year overall survival rates of 58.2% and 45.8%, respectively. In both the Fine-Gray regression model and Cox regression model, marital status [married vs. unmarried and others, both P < 0.001, hazard ratio (HR) = 1.389 for Cox and HR = 1.378 for Fine-Gray], age at diagnosis, tumor grade, and surgery at the primary site independently served as prognostic indicators associated with OS. In conclusion, positive marital status was independently associated with better OS for stage Ia HCC patients, and its prognostic influence should be validated in the near future.

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“…Similarly, for mCC patients diagnosed in 2016, the variable "metastatic sites" was reclassified based on the criteria of "Metastasis at diagnosis-Distant LN (2016+)" and "Metastasis at diagnosis-Other (2016+)." The variables "Age at diagnosis, " "Insurance status, " "Race, " "Marital status, " "Tumor histology, " "Differentiation, " "T stage, " "N stage, " "Surgery at the primary site, " "delivery of RT, " and "use of CT" were as described previously (14,15). Following our previous study, we set 65 years old as the cutoff point for the age at diagnosis in the current study.…”

Section: Study Populationmentioning

confidence: 99%

A Nomogram-Based Risk Classification System Predicting the Overall Survival of Patients With Newly Diagnosed Stage IVB Cervix Uteri Carcinoma

Yu¹,

Zhong

Song

et al. 2021

Front. Med.

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Background: This study constructed and demonstrated a model to predict the overall survival (OS) of newly diagnosed distant metastatic cervical cancer (mCC) patients.Methods: The SEER (Surveillance, Epidemiology, and End Results) database was used to collect the eligible data, which from 2010 to 2016. Then these data were separated into training and validation cohorts (7:3) randomly. Cox regression analyses was used to identify parameters significantly correlated with OS. Harrell's Concordance index (C-index), calibration curves, and decision curve analysis (DCA) were further applied to verify the performance of this model.Results: A total of 2,091 eligible patients were enrolled and randomly split into training (n = 1,467) and validation (n = 624) cohorts. Multivariate analyses revealed that age, histology, T stage, tumor size, metastatic sites, local surgery, chemotherapy, and radiotherapy were independent prognostic parameters and were then used to build a nomogram for predicting 1 and 2-year OS. The C-index of training group and validation group was 0.714 and 0.707, respectively. The calibration curve demonstrated that the actual observation was in good agreement with the predicted results concluded by the nomogram model. Its clinical usefulness was further revealed by the DCAs. Based on the scores from the nomogram, a corresponding risk classification system was constructed. In the overall population, the median OS time was 23.0 months (95% confidence interval [CI], 20.5–25.5), 12.0 months (95% CI, 11.1–12.9), and 5.0 months (95% CI, 4.4–5.6), in the low-risk group, intermediate-risk group, and high-risk group, respectively.Conclusion: A novel nomogram and a risk classification system were established in this study, which purposed to predict the OS time with mCC patients. These tools could be applied to prognostic analysis and should be validated in future studies.

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Trends and predictors of survival for small cell carcinoma of the cervix uteri: A SEER population study

Cited by 9 publications

References 18 publications

A Prognostic Nomogram for Predicting Overall Survival in Patients With Small-Cell Carcinoma of the Uterine Cervix: A SEER Population-Based Study

A Prognostic Nomogram for Predicting Overall Survival in Patients With Small-Cell Carcinoma of the Uterine Cervix: A SEER Population-Based Study

Impact of marital status on overall survival in patients with early-stage hepatocellular carcinoma

A Nomogram-Based Risk Classification System Predicting the Overall Survival of Patients With Newly Diagnosed Stage IVB Cervix Uteri Carcinoma

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