A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis

Guan, Xu; Ma, Chenxi; Quan, Jichuan; Zhao, Zhixun; Chen, Haipeng; Sun, Peng; Wang, Song; Zhao, Liang; Ma, Xiaolong; Liu, Zheng; Jiang, Zheng; Wang, Xishan

doi:10.7150/jca.40921

Cited by 10 publications

(14 citation statements)

References 23 publications

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“…The likelihood of 1-, 3-, or 5-year survival was determined based on a line downward to the survival axes. [ 15 ] The C -indexes of the nomograms predicting OS and CSS were 0.748 (95% CI 0.699–0.797) and 0.764 (95% CI 0.714–0.813), respectively. Calibration curves revealed excellent consistency between actual survival and nomogram predictions (Fig.…”

Section: Resultsmentioning

confidence: 99%

Prognostic factors of chondroblastic osteosarcoma and nomogram development for prediction

Peng

Hao²,

Ren³

et al. 2021

Medicine

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The present study aimed to develop nomograms to predict survival in patients with chondroblastic osteosarcoma (COS). An analysis was conducted of 320 cases of COS collected from the surveillance, epidemiology, and end results (SEER) database between 2004 and 2015. Independent prognostic factors were screened using univariate and multivariate Cox analyses. Subsequently, nomograms were established to predict the patients’ cancer-specific survival (CSS) and overall survival (OS) rates. The prediction accuracy and discriminative ability of the nomograms were examined using calibration curves and the concordance index ( C -index). As revealed in the univariate and multivariate Cox regression analysis, age, tumor size, the primary site, the presence of metastasis, a history of having undergone surgery, and a history of having received radiotherapy were found to be independent prognostic factors associated with survival in patients with COS (all P < .05). Furthermore, age >39 years, the presence of distant metastasis, no history of having undergone any surgery, and tumor size >103 mm were found to be associated with poor prognosis in patients, while the primary site of the mandible and no history of having undergone radiotherapy showed associations with a more favorable prognosis in patients. Next, nomograms were constructed to predict the OS and CSS in patients with COS. We constructed nomograms that can provide accurate survival predictions in patients with chondroblastic osteosarcoma. These nomograms can help surgeons customize the treatment strategies for patients with chondroblastic osteosarcoma.

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Section: Resultsmentioning

confidence: 99%

Prognostic factors of chondroblastic osteosarcoma and nomogram development for prediction

Peng

Hao²,

Ren³

et al. 2021

Medicine

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“…For RC patients, many models have been built to predict the postoperative prognosis, therapeutic effects, and likelihood of lymph node metastasis (10)(11)(12). A risk model of predicting LNC < 12 could be a helpful method to recognize an individual's risk level of inadequate lymph node examination.…”

Section: Introductionmentioning

confidence: 99%

A Preoperative Scoring System to Predict the Risk of Inadequate Lymph Node Count in Rectal Cancer

et al. 2022

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PurposeThe aim of this study was to develop and validate a preoperative scoring system to stratify rectal cancer (RC) patients with different risks of inadequate lymph node examination.MethodsA total of 1,375 stage I–III RC patients between 2011 and 2020 from the Second Affiliated Hospital of Harbin Medical University were included in the retrospective study and randomly divided into a development set (n = 688) and a validation set (n = 687). The logistic regression model was used to determine independent factors contributing to lymph node count (LNC) < 12. A preoperative scoring system was constructed based on beta (β) coefficients. The area under the receiver operating curve (AUC) was used to test model discrimination.ResultsPreoperative significant indicators related to LNC < 12 included age, tumor size, tumor location, and CEA. The AUCs of the scoring system for development and validation sets were 0.694 (95% CI = 0.648–0.741) and 0.666 (95% CI = 0.615–0.716), respectively. Patients who scored 0–2, 3–4, and 5–6 were classified into the low-risk group, medium-risk group, and high-risk group, respectively.ConclusionsThe preoperative scoring system could identify RC patients with high risk of inadequate lymphadenectomy accurately and further provide a reference to perform preoperative lymph node staining in targeted patients to reduce the difficulty of meeting the 12-node standard, with the purpose of accurate tumor stage and favorable prognosis.

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“…Recently, nomogram is widely applied as a new method, which can quantify the risk of an outcome event by illustrating and incorporating important factors precisely. 15 , 16 However, targeted nomogram for postoperative psychological disorder is still lacking. Therefore, the aim of this study was to develop and validate a nomogram to predict the likelihood of postoperative anxiety and depression in CRC patients.…”

Section: Introductionmentioning

confidence: 99%

Nomogram to Predict the Risk of Postoperative Anxiety and Depression in Colorectal Cancer Patients

Hu¹,

Zhang²,

Wang³

et al. 2022

IJGM

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Purpose To develop and validate the risk nomogram to predict the likelihood of postoperative anxiety and depression in colorectal cancer (CRC) patients. Methods A total of 602 CRC patients from the Second Affiliated Hospital of Harbin Medical University were included in the study and divided into development set and validation set with the 2:1 ratio randomly. Logistic regression model was used to determine independent factors contributing to postoperative anxiety and depression, which were subsequently applied to build the nomogram for predicting postoperative anxiety and depression. The performance of the risk nomogram was appraised by the area under the receiver operating curve (AUC), calibration curves and decision curve analyses (DCA). Results Gender, personal status, income, adjuvant therapy, the Eastern Cooperative Oncology Group Scale (ECOG) score, comorbidity, postoperative complications and stoma status were significant indicators for postoperative anxiety and depression. The AUCs for the development and validation sets were 0.792 and 0.812 for the postoperative anxiety nomogram and 0.805 and 0.825 for the postoperative depression nomogram. Additionally, calibration curves and decision curve analyses also determined the reliable clinical importance of the proposed nomogram. Conclusion The current study constructed the risk nomogram for postoperative anxiety and depression and could help clinicians determine high-risk patients to some extent.

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A prognostic index model to individually predict clinical outcomes for colorectal cancer with synchronous bone metastasis

Cited by 10 publications

References 23 publications

Prognostic factors of chondroblastic osteosarcoma and nomogram development for prediction

Prognostic factors of chondroblastic osteosarcoma and nomogram development for prediction

A Preoperative Scoring System to Predict the Risk of Inadequate Lymph Node Count in Rectal Cancer

Nomogram to Predict the Risk of Postoperative Anxiety and Depression in Colorectal Cancer Patients

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