Retraction Note: The diagnostic nomogram of platelet-based score models for hepatic alveolar echinococcosis and atypical liver cancer

Du, Qiancheng; Wang, Yanyan; Guan, Shihao; Hu, Chenliang; Li, Mengxuan; Zhou, Ling; Zhang, Mengzhao; Chen, Yichong; Mei, Xuepeng; Sun, Jian; Zhou, Ying

doi:10.1038/s41598-020-73758-x

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Nomogram models integrate multiple related indicators. Nomogram prediction models have been shown to successfully predict the prognosis of many diseases (26)(27)(28)(29)(30). This study established a prediction model and found that the prediction value of this model was high.…”

Section: Discussionmentioning

confidence: 92%

Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection

Xu¹,

Han²,

Cao³

et al. 2023

J Gastrointest Oncol

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Background: In recent years, nomogram prediction models have been widely used to evaluate the prognosis of various diseases. However, studies in primary hepatocellular carcinoma (HCC) are limited. This study sought to explore the risk factors of recurrence of patients with primary HCC after surgical resection and establish a nomogram prediction model. Methods:The data of 424 patients with primary HCC who had been admitted to the Wuhan Third Hospital were retrospectively collected. The patients were followed-up for 5 years after surgery. The patients were divided into the recurrence group (n=189) and control group (n=235) according to whether the cancer recurred after surgery. The differences in the clinical characteristics between the two groups were analyzed.The risk factors of recurrence after surgical resection of primary HCC were also analyzed, and a prediction model was then established using R4.0.3 statistical software.Results: There were significant statistical differences between the two groups in terms of the tumor size, systemic immune-inflammation (SII) index, the number of lesions, tumor differentiation degree, ascites, vascular invasion, and portal vein tumor thrombus (P<0.05). The multivariate regression analysis showed that multiple foci, poorly differentiated tumors, ascites, vascular invasion, and portal vein tumor thrombus were risk factors for the recurrence of primary HCC in patients after surgical resection (P<0.05). The data set was randomly divided into a training set and verification set. The sample size of the training set was 297, and the sample size of the verification set was 127. The area under the receiver operating characteristic (ROC) curve of the training set was 0.866 [95% confidence interval (CI): 0.824-0.907], and the area under the ROC curve of the validation set was 0.812 (95% CI: 0.734-0.890). The Hosmer-Lemeshow Goodness-of-Fit Test was used to test the model with the validation set (χ 2 =11.243, P=0.188), which indicated that the model had high value in predicting the recurrence of primary HCC after surgical resection.Conclusions: This model had high value in predicting the recurrence of primary HCC in patients after surgical resection. This model could assist clinicians to assess the prognosis of patients. Intensive treatment for high-risk patients might improve the prognosis of patients.

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Section: Discussionmentioning

confidence: 92%

Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection

Xu¹,

Han²,

Cao³

et al. 2023

J Gastrointest Oncol

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show abstract

“…A nomogram is an effective tool for visual assessment and quantifies individual risk by using important prognostic factors. In the diagnosis and treatment of a variety of cancers, nomograms currently show good predictive performance, such as for pancreatic cancer[ 5 ] and liver cancer[ 6 ]. Nomograms can improve the accuracy of survival prediction and provide physicians with more accurate diagnosis and treatment.…”

Section: Introductionmentioning

confidence: 99%

Construction of a clinical survival prognostic model for middle-aged and elderly patients with stage III rectal adenocarcinoma

Líu

et al. 2021

WJCC

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BACKGROUND Nomograms for prognosis prediction in colorectal cancer patients are few, and prognostic indicators differ with age. AIM To construct a new nomogram survival prediction tool for middle-aged and elderly patients with stage III rectal adenocarcinoma. METHODS A total of 2773 eligible patients were divided into the training cohort (70%) and the validation cohort (30%). Optimal cutoff values were calculated using the X-tile software for continuous variables. Univariate and multivariate Cox proportional hazards regression analyses were used to determine overall survival (OS) and cancer-specific survival (CSS)-related prognostic factors. Two nomograms were successfully constructed. The discriminant and predictive ability and clinical usefulness of the model were also assessed by multiple methods of analysis. RESULTS The 95%CI in the training group was 0.719 (0.690-0.749) and 0.733 (0.702-0.74), while that in the validation group was 0.739 (0.696-0.782) and 0.750 (0.701-0.800) for the OS and CSS nomogram prediction models, respectively. In the validation group, the AUC of the three-year survival rate was 0.762 and 0.770, while the AUC of the five-year survival rate was 0.722 and 0.744 for the OS and CSS nomograms, respectively. The nomogram distinguishes all-cause mortality from cancer-specific mortality in patients with different risk grades. The time-dependent AUC and decision curve analysis showed that the nomogram had good clinical predictive ability and decision efficacy and was significantly better than the tumor-node-metastases staging system. CONCLUSION The survival prediction model constructed in this study is helpful in evaluating the prognosis of patients and can aid physicians in clinical diagnosis and treatment.

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Retraction Note: The diagnostic nomogram of platelet-based score models for hepatic alveolar echinococcosis and atypical liver cancer

Abstract: Editor's Note: this Article has been retracted; the Retraction Note is available at https://www.nature.com/articles/s41598-020-73758-x

Cited by 2 publications

References 33 publications

Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection

Establishment and validation of a predictive model of recurrence in primary hepatocellular carcinoma after resection

Construction of a clinical survival prognostic model for middle-aged and elderly patients with stage III rectal adenocarcinoma

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