Evidence map›Paper›PMID 37211596›Full record

ArticleWorld journal of surgical oncology2023

A possible combined appraisal pattern: predicting the prognosis of patients after esophagectomy.

LiangLiang Chen, GuoCan Yu, WuChen Zhao, Bo Ye, YuSheng Shu

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

LiangLiang ChenDepartment of Thoracic Surgery, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, 310005, China.
GuoCan YuDepartment of Thoracic Surgery, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, 310005, China.
WuChen ZhaoDepartment of Thoracic Surgery, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, 310005, China.
Bo YeDepartment of Thoracic Surgery, Affiliated Hangzhou Chest Hospital, Zhejiang University School of Medicine, Hangzhou, 310005, China. 16996881@qq.com.
YuSheng ShuDepartment of Thoracic Surgery, Northern Jiangsu People's Hospital, Clinical Medical School of, Yangzhou University, Yangzhou, 225001, China. shuyusheng65@163.com.

Funding

Support Scientific Research Foundation of Jiangsu Provincial Department of Health Z201314
6 · The paper itself

Abstract

objectiveTo investigate the predictive merit of combined preoperative nutritional condition and systemic inflammation on the prognosis of patients receiving esophagectomy, with the assessment of model construction to extract a multidisciplinary phantom having clinical relevance and suitability.

methodsThe software of R 4.1.2 was utilized to acquire the survival optimal truncation value and the confusion matrix of survival for the continuity variables. SPSS Statistics 26 was employed to analyze the correlation of parameters, where including t-test, ANOVA and the nonparametric rank sum test shall. Pearson chi-square test was used for categorical variables. The survival curve was retrieved by Kaplan-Meier method. Univariate analysis of overall survival (OS) was performed through log-rank test. Cox analysis was for survival analyze. The performance of the prediction phantom through the area under curve (AUC) of receiver operating characteristic curve (ROC), decision curve analysis (DCA), nomogram and clinical impact curve (CIC) was plotted by R.

resultsThe AUC value of albumin-globulin score and skeletal muscle index (CAS) is markedly superior. Patients with diminished AGS and greater SMI were associated with improved overall survival (OS) and recurrence-free survival (RFS) (P < 0.01). The CAS composite evaluation model was calibrated with better accuracy and predictive performance. The DCA and CIC indicated a relatively higher net revenue for the prediction model.

conclusionsThe prediction model including the CAS score has excellent accuracy, a high net revenue, and favorable prediction function.

Indexed as

EsophagectomyNomogramsHumansInflammationPrognosisEsophageal carcinomaInflammatory responseNutritional statusPrediction modelPrognosis

Identifiers

PMID37211596
PMCPMC10201727

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.