Evidence map›Paper›PMID 35116418›Full record

ArticleTranslational cancer research2021

A novel nomogram for predicting survival of patients with poorly differentiated gastric adenocarcinoma.

Xiaolu Zhou, Zhiyuan Dong, Chenjing Zhang, Xiaoge Geng, Lunan Li, Jiyong Jing, Wensheng Pan, Haifang Lou

Open access · diamondAbstract read
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Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Xiaolu ZhouDepartment of Gastroenterology, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Zhiyuan DongThe Medical College of Qingdao University, Qingdao, China.
Chenjing ZhangDepartment of Gastroenterology, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Xiaoge GengDepartment of Gastroenterology, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Lunan LiDepartment of Gastroenterology, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Jiyong JingDepartment of Medical Simulation Teaching Center, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Wensheng PanDepartment of Gastroenterology, Zhejiang Provincial People's Hospital, People's hospital of Hangzhou Medical college, Hangzhou, China.
Haifang LouDepartment of Clinical Medical Engineering, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
Zhejiang Provincial People's Hospital · CNHangzhou Medical College · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoorly differentiated gastric adenocarcinoma (PDGA) is a common adenocarcinoma with less glandular structure in gastric cancer. To date, the factors affecting its prognosis remain unclear. In this study, we establish a novel prognostic nomogram for PDGA.

methodsWe screened the Surveillance, Epidemiology, and End Results (SEER) database and downloaded data from PDGA patients who underwent surgery between 2010 and 2015. We explored their clinicopathological characteristics and important prognostic factors such as overall survival (OS), using univariate and multivariate Cox proportional hazards regression analyses, then constructed a prognostic nomogram using the resulting significant variables to predict the OS. We verified performance of the nomogram externally using a separate Chinese set, and further compared its ability as well as the 8

resultsA total of 3,887 patients in the SEER database met our inclusion criteria and were therefore included in the analysis. Multivariate analysis showed that age, sex, tumor size, prime site of tumor, T stage, N stage, and M stage were all independent prognostic factors for PDGA. These factors allowed successful establishment of a nomogram model with high predictive power, based on external verification using a Chinese set comprising 632 PDGA patients. The nomogram showed a better discrimination advantage than the 8

conclusionsThe nomogram, established herein, was more accurate in predicting the 1-, 3-, and 5-year OS of PDGA patients than the traditional AJCC TNA staging system. Successful establishment of a PDGA prognostic nomogram is a further step towards individualized and precise treatment of gastric cancer.

Indexed as

nomogramPoorly differentiated gastric adenocarcinoma (PDGA)prognostic model

Identifiers

PMID35116418
PMCPMC8798935
OpenAlexW3134170946

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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.