&lt;p&gt;Surgical Compliance and Survival Outcomes for Patients with Stage T1-2 Non-Small-Cell Lung Cancer&lt;/p&gt;

Wang, Siben; Mao, Weipu; Wang, Yi; Shi, Xun; Wang, Wei; Dai, Lifang; Zhang, Wenping

doi:10.2147/cmar.s238819

Cited by 9 publications

(9 citation statements)

References 32 publications

(30 reference statements)

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“…Meanwhile, compared with old patients, young patients are more likely to receive medical and health care from the outside world. 11 These findings suggest that there may be different survival outcomes from younger to elderly PCa patients. To optimally evaluate the prognosis and select the appropriate treatment strategy, it is necessary to establish a novel survival assessment model.…”

Section: Introductionmentioning

confidence: 97%

“…However, there is a significant difference in androgen levels between young and old patients, which could affect the progression of this disease. Meanwhile, compared with old patients, young patients are more likely to receive medical and health care from the outside world 11 . These findings suggest that there may be different survival outcomes from younger to elderly PCa patients.…”

Section: Introductionmentioning

confidence: 99%

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Nomogram for predicting the overall survival of patients with early‐onset prostate cancer: A population‐based retrospective study

Qiao

Zheng

et al. 2022

Cancer Medicine

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Background The incidence of early‐onset prostate cancer (PCa) has increased significantly over the past few decades. It is necessary to develop a prognostic nomogram for the prediction of overall survival (OS) in early‐onset PCa patients. Methods A total of 23,730 early‐onset PCa patients (younger than 55 years old) between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled for the current study, and randomly separated into the training cohort and the validation cohort. 361 eligible early‐onset PCa patients from The Cancer Genome Atlas‐Prostate Adenocarcinoma (TCGA‐PRAD) cohort were obtained as the external validation cohort. Independent predictors were selected by univariate and multivariate Cox regression analysis, and a prognostic nomogram was constructed for 1‐, 3‐, and 5‐year OS. The accurate and discriminative abilities of the nomogram were evaluated by the concordance index (C‐index), receiver operating characteristic curve (ROC), calibration plot, net reclassification index (NRI), and integrated discrimination improvement (IDI). Results Multivariate Cox analysis showed that race, marital status, TNM stage, prostate‐specific antigen, Gleason score, and surgery were significantly associated with poor prognosis of PCa. A nomogram consisting of these variables was established, which had higher C‐indexes than the TNM system (training cohort: 0.831 vs. 0.746, validation cohort: 0.817 vs. 0.752). Better AUCs of the nomogram than the TNM system at 1, 3, and 5 years were found in both the training cohort and the validation cohort. The 3‐year and 5‐year AUCs of the nomogram in the TCGA‐PRAD cohort were 0.723 and 0.679, respectively. The calibration diagram, NRI, and IDI also showed promising prognostic value in OS. Conclusions We developed an effective prognostic nomogram for OS prediction in early‐onset PCa patients, which will further assist both the precise clinical treatment and the assessment of long‐term outcomes.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Nomogram for predicting the overall survival of patients with early‐onset prostate cancer: A population‐based retrospective study

Qiao

Zheng

et al. 2022

Cancer Medicine

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“…In the state of arts, surgery compliance is regarded as a key factor to the prognosis of various diseases 15 – 17 , and thus becomes the focus of social healthcare research 18 , 19 . It is non-negligible that SO rarely happens, according to the clinical statistics.…”

Section: Introductionmentioning

confidence: 99%

Survival analysis and prognostic model establishment of secondary osteosarcoma: a SEER-based study

Wang,

Fu,

Zhu

et al. 2024

Annals of Medicine &Amp; Surgery

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Background: Surgical excision is considered as one of the effective treatments for secondary osteosarcoma (SO). It remain unclear that whether the survival of patients with SO could be associated with their surgical willingness. Materials and Methods: The statistics of the patients diagnosed with SO between 1975 and 2008 were gathered from the surveillance epidemiology and end results (SEER) database. The patients were divided into three subgroups according to their surgical compliance. We used the multivariable Logistic regression analysis and cox regression method to reveal the influence of surgical compliance on prognosis and the risk factors of surgical compliance as well. Additionally, we formulated a nomogram model to predict the overall survival (OS) of patients. The concordance index (C-index) was used to evaluate the accuracy and practicability of the above prediction model. Results: 63(9.2%) of the 688 patients with SO who were recommended for surgical treatment refused to undergo surgery. Lower surgical compliance can be ascribed to earlier time of diagnosis and refused chemotherapy. The lower OS ([Hazard ratio (HR)] 1.733, [Confidential interval (CI)] 1.205-2.494, P-value (P)=0.003) of not surgical compliant patients was verified by the multivariate cox regression method, compared with surgical compliant patients. In addition, the discernibility of the nomogram model was proven to be relatively high (C-index=0.748), by which we can calibrate 3 year- and 5 year-OS prediction plots to obtain good concordance to actual situation. Conclusion: The surgical compliance was proved to be an independent prognostic factor to survival of patients with SO.

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“…There were an estimated more than 20,000 morbidity and 14,000 mortality due to lung cancer in 2019 [1] . Non-small cell lung cancer (NSCLC) is the most common histopathological subtype of LC, accounting for about 85% of all LC, of which squamous cell carcinoma and adenocarcinoma are the most common subtypes [2,3] . Although improvements have been made in diagnostic and therapeutic techniques, many cases were still diagnosed at an advanced stage with poor diagnosis [4] .…”

Section: Introductionmentioning

confidence: 99%

A Nomogram with Lymph Node Status Predicts Survival and the Benefit of Postoperative Radiotherapy in IIIA-N2 Non-small Cell Lung Cancer Patients after Surgery

Chen

Dong

et al. 2020

Preprint

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Objective: This study aimed at establishing a novel nomogram predicting overall survival and investigating the survival benefit of postoperative radiotherapy in IIIA-N2 Non-small cell lung cancer (NSCLC) patients after surgery.Methods: Data of IIIA-N2 NSCLC patients between 2004 and 2016 were collected from the Surveillance, Epidemiology, and End Results (SEER). Patients were excluded if the information regarding follow-up time and clinicopathological features were incomplete. Through Univariate and multivariate analyses, independent prognostic factors were identified and integrated into the construction of nomogram. The survival benefit of PORT was investigated in model-defined low-risk, intermediate-risk, and high-risk subgroups, respectively.Results: In total, 4389 patients were finally included for analysis. Patients’ age, sex, T stage, differentiation grade, examined lymph nodes number (ELN), metastatic lymph nodes number (MLN), and metastatic lymph nodes ratio (LNR) were identified as independent prognostic factors and were integrated into the construction of nomogram. The C-index and calibration curves indicated that the predictive performance of the nomogram was satisfactory. Patients were then categorized into three prognostic groups with the increasing risk of all-cause of death. Only patients in high-risk group could benefit from PORT.Conclusion: In this large-cohort retrospective study, A survival-predicting nomogram and risk stratification model were established to estimate prognosis in IIIA-N2 NSCLC patients. PORT was recommended for those patients in high-risk group. This study may provide additional integration, introspection, and improvement for therapeutic decision-making.

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<p>Surgical Compliance and Survival Outcomes for Patients with Stage T1-2 Non-Small-Cell Lung Cancer</p>

Cited by 9 publications

References 32 publications

Nomogram for predicting the overall survival of patients with early‐onset prostate cancer: A population‐based retrospective study

Nomogram for predicting the overall survival of patients with early‐onset prostate cancer: A population‐based retrospective study

Survival analysis and prognostic model establishment of secondary osteosarcoma: a SEER-based study

A Nomogram with Lymph Node Status Predicts Survival and the Benefit of Postoperative Radiotherapy in IIIA-N2 Non-small Cell Lung Cancer Patients after Surgery

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