Evidence map›Paper›PMID 29440932›Full record

ArticleCancer management and research2018

Comparison of prognostic prediction between nomogram based on lymph node ratio and AJCC 8th staging system for patients with resected pancreatic head carcinoma: a SEER analysis.

Ning Pu, Jianang Li, Yaolin Xu, Wanling Lee, Yuan Fang, Xu Han, Guochao Zhao, Lei Zhang, Abulimiti Nuerxiati, Hanlin Yin and 2 more

Abstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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32citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ning PuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Jianang LiDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Yaolin XuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Wanling LeeDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Yuan FangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Xu HanDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Guochao ZhaoDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Lei ZhangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Abulimiti NuerxiatiDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Hanlin YinDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Wenchuan WuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Wenhui LouDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of pancreatic carcinoma (PC) remains poor and the American Joint Committee on Cancer (AJCC) 8th staging system for survival prediction in PC patients after curative resection is still limited. Thus, the aim of this study is to refine a valuable prognostic model and novel staging system for PC with curative resection.

methodsThe data of 3,458 patients used in this study were retrieved from the Surveillance, Epidemiology, and End Results database registry of National Cancer Institute. The prognostic value of lymph node ratio (LNR) was analyzed in the primary cohort and prognostic nomogram based on the LNR was established to create a novel staging system. Then, analyses were conducted to evaluate the application of the formulated nomogram staging system and the AJCC 8th staging system. The predictive performance of model was further validated in the internal validation cohort.

resultsSignificant positive correlations were found between LNR and all factors except for surgical procedures. The results of univariate and multivariate analyses showed that LNR was identified as an independent prognostic indicator for overall survival (OS) in both primary and validation cohorts (all

conclusionLNR can be considered as a useful independent prognostic indicator for PC patients after curative resection regardless of the surgical procedures. Compared with the AJCC 8th staging system, the formulated nomogram showed superior predictive accuracy for OS and its novel staging system revealed better risk stratification.

Indexed as

AJCCdecision curve analysislymph node rationomogrampancreatic head carcinomaprognosis

Identifiers

PMID29440932
PMCPMC5804271

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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.