Evidence map›Paper›PMID 39141173›Full record

ArticleTechniques in coloproctology2024

A nomogram for predicting the overall survival in rectal cancer patients after total neoadjuvant therapy.

Z Liu, M He, X Wang

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Article in Techniques in coloproctology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Z LiuDepartment of Oncology, Binzhou Medical University Hospital, No. 661, Yellow-River Second Street, Binzhou, 256600, Shandong, China.
M HeSchool of Clinical Medicine, Tsinghua University, Beijing, 100084, China.
X WangDepartment of Oncology, Binzhou Medical University Hospital, No. 661, Yellow-River Second Street, Binzhou, 256600, Shandong, China. wxl8710@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTotal neoadjuvant therapy (TNT) has been recommended by the National Comprehensive Cancer Network for treating locally advanced rectal cancer (LARC), but extremely rare studies have focused on establishing nomograms to predict the prognosis in these patients after TNT. We aimed to develop a nomogram to predict overall survival (OS) in rectal cancer patients who underwent TNT.

methodsIn retrospective cohort study, we extract the data of the rectal cancer patients from the SEER database between 2010 and 2015, including demographic information and tumor characteristics. The cohort was divided into training set and validation set based on a ratio of 7:3. Univariate logistic regression analysis was utilized for the comparison of variables in training set. Candidate variables with P < 0.1 in training set was entered into the best subset selection, LASSO regression and Boruta feature selection. Finally, the selected variables significantly associated with the 3-year, 5-year, and 8-year OS were used to build a nomogram, followed by validation using receiver operating characteristic (ROC) curve, area under the curve (AUC), and calibration curve.

resultsA total of 3265 rectal cancer patients (training set: 2285; test set: 980) were included in the present study. A nomogram was developed to predict the 3-year, 5-year, and 8-year OS based on age, household income, total number of in situ/malignant tumors, CEA, T stage, N stage and perineural invasion. The nomogram showed good efficiency in predicting the 3-year, 5-year and 8-year OS with good AUC for the training set and test set, respectively.

conclusionWe established a nomogram for predicting the 3-year, 5-year, and 8-year OS of the rectal cancer patients, which showed good prediction efficiency for the OS after TNT.

Indexed as

Neoadjuvant TherapyNomogramsRectal NeoplasmsAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedPrognosisRetrospective StudiesROC CurveSEER ProgramChemoradiotherapyNomogramOverall survivalRectal cancerTotal neoadjuvant therapy

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