Marital status, an independent predictor for survival of gastric neuroendocrine neoplasm patients: a SEER database analysis

Zhou, Yu Jie; Lu, Xiaofan; Zheng, Kenneth I.; Wang, Qiwen; Chen, Jin-Nan; Zhang, Qingwei; Yan, Fangrong; Li, Xiaobo

doi:10.1186/s12902-020-00565-w

Cited by 10 publications

(7 citation statements)

References 32 publications

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“…This could be explained by the fact that socioeconomic psychological factors and genetic diversity might play an important role in tumorigenesis and tumor progression [18,19]. Several previous studies demonstrate that marital status and ethnicities were important etiological and prognostic factors in several solid tumors, including cervical cancer [20][21][22][23]. Similarly, in our study, better survival was seen in married patients and in white women.…”

Section: Discussionsupporting

confidence: 77%

Small Cell Carcinoma as an Independent Prognostic Factor for Cervical Cancer Patients: A Population-Based Analysis

Wang

Song

et al. 2021

Future Oncol.

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Aim: To compare cervical small cell carcinoma (SmCC) with squamous cell carcinoma (SCC) in patient characteristics and survival outcomes. Methods: Cervical SmCC and SCC patients in Surveillance, Epidemiology, and End Results database from 2004 to 2015 were enrolled. Propensity-score matching analysis (PSM) paired subjects with similar background variables. Cox regression, Kaplan–Meier and stratified analyses were conducted before and after PSM. Results: Cervical SmCC patients showed a higher rate of larger tumor size, advanced grade disease, lymph node involvement and distant metastasis (p < 0.001). Before and after PSM, SmCC histology and advanced Federation International of Gynecology and Obstetrics stages (p < 0.001) were principal prognostic factors of survival, and cervical SmCC was associated with worse survival in all stages (stage I–IV). Conclusion: SmCC was an independent poor prognostic factor in cervical cancer patients.

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Section: Discussionsupporting

confidence: 77%

Small Cell Carcinoma as an Independent Prognostic Factor for Cervical Cancer Patients: A Population-Based Analysis

Wang

Song

et al. 2021

Future Oncol.

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“…It was notable that marital status was also an independent meaningful factor in the present study. Marital status has been reported as an independent prognostic factor on the prognosis of many malignancies, and marriage appeared to have a protective effect in these studies, with married patients having better 5-year OS and CSS outcomes than unmarried patients, including divorced/separated, widowed, and single patients (31)(32)(33). Compared with unmarried individuals, married individuals generally have more advantageous financial situations and emotional support from their husbands or wives, thus they will adhere better to treatment and have better outcomes.…”

Section: Discussionmentioning

confidence: 88%

Establishment and validation of an individualized nomogram to predict distant metastasis in chondrosarcoma patients: a population-based study

Hoang¹,

Nguyen²,

Chen³

et al. 2022

Transl Cancer Res TCR

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Background: Distant metastasis is a significant factor influencing chondrosarcoma (CHS) patients' treatment and prognosis. We aimed to establish a consistent and effective nomogram to better predict distant metastases of CHS individuals. Methods: The Surveillance, Epidemiology and End Results (SEER) database was used to obtain the demographics and clinicopathological characteristics of CHS patients from 2010 to 2018. Independent risk factors were identified via univariate and multivariate logistic regressive analysis. A nomogram that predicts metastasis risk was established based on the training cohort, and its accuracy was validated through the validation cohort. The performance of this predictive model was assessed by the receiver operating characteristic (ROC) curve and Harrell's concordance index (C-index). Finally, decision curve analysis (DCA) was conducted to test its clinical reliability.Results: Data of 1,066 patients were extracted, of these, 66 cases (6.19%) were with distant metastasis at initial diagnosis. The following features were shown to be linked to an increased risk of metastasis: highgrade tumor, T3 stage, and large tumor size; whereas unmarried and use of surgery were independent protective factors. Marital status, tumor grade, T stage, use of cancer-directed surgery and tumor size were incorporated to develop the novel nomogram. The ROC curves showed the effectiveness of the nomogram with the high area under the curves, the C-indices were 0.931 and 0.951 in the internal and external validation, respectively. The calibration plots indicated a good consistency and agreement of the nomogram, while the DCA illustrated that the nomogram had favorable potential clinical applicability due to great positive net benefit with wide ranges of the threshold probabilities.Conclusions: This work developed a novel nomogram for predicting distant metastasis in CHS patients, which might assist clinicians to determine the optimal treatment plan by precisely predicting individualized metastatic risk.

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“…However, due to a lack of demographic information, the AJCC system is not a perfect predictor of CSS in EC patients. Previous studies have confirmed that age at diagnosis, gender, race, marital status, and occupation are significantly associated with cancer survival (8)(9)(10). In the establishment of prognostic models for patients with EC, the prognostic value is limited due to the relatively limited sample size (11,12).…”

Section: Discussionmentioning

confidence: 99%

Sex differences in cancer-specific survival for locally advanced esophageal cancer after neoadjuvant chemoradiotherapy: A population-based analysis

Wang

Zhang

et al. 2022

Front. Surg.

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ObjectiveNeoadjuvant chemoradiotherapy (nCRT) is the recommended standard treatment for locally advanced esophageal cancer (LA-EC). This study aimed to determine whether sex makes a difference in cancer-specific survival (CSS) and construct a novel nomogram model to predict CSS for LA-EC after nCRT based on the SEER database.MethodsPatients coded by 04–15 were identified from the SEER database. Patients with systemic treatment and radiotherapy before surgery were defined as nCRT. We further divided this population into a training group and a verification group at a ratio of 7:3. Univariate and multivariate cox analyses were applied to determine the prognostic risk factors based on the training cohort, and then the Nomogram model was established. The area under the curve (AUC) was used to evaluate the predictive ability of the model. We used the calibration curve to evaluate the consistency between the predicted status and actual status and decision curve analysis (DCA) to evaluate the clinical value. We used X-tile software to determine the best cut-off value of nomogram scores and divided the population into low-risk, medium-risk, and high-risk groups, and Kaplan-Meier analysis was applied to compare the CSS.ResultsA total of 2096 LA-EC patients were included for further analysis, with 1,540 in the training cohort and 656 in the validation group. Male (HR: 1.29, 95% CI, 1.04 −1.58), T stage, N stage, and M stage were identified as independent risk factors of CSS based on the training cohort. A Nomogram model was constructed to predict the 3-, 5- and 7-years CSS. ROC curve and AUC confirmed that this nomogram has median discrimination ability. The calibration curve showed good agreement between predicted status and actual status. The DCA curves confirmed the clinical value. Kaplan-Meier analysis indicated that patients in the high-risk subgroup had poorer CSS in both the training cohort and validation cohort (P < 0.001).ConclusionMale patients had poorer CSS in LA-EC patients after nCRT. A nomogram model composed of sex, T stage, N stage, and M stage was constructed to identify the high-risk population and provide a personalized follow-up plan.

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Marital status, an independent predictor for survival of gastric neuroendocrine neoplasm patients: a SEER database analysis

Cited by 10 publications

References 32 publications

Small Cell Carcinoma as an Independent Prognostic Factor for Cervical Cancer Patients: A Population-Based Analysis

Small Cell Carcinoma as an Independent Prognostic Factor for Cervical Cancer Patients: A Population-Based Analysis

Establishment and validation of an individualized nomogram to predict distant metastasis in chondrosarcoma patients: a population-based study

Sex differences in cancer-specific survival for locally advanced esophageal cancer after neoadjuvant chemoradiotherapy: A population-based analysis

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