Evidence map›Paper›PMID 36741063›Full record

ArticleWorld journal of gastrointestinal surgery2023

Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers.

Pan-Quan Luo, En-Dong Song, Fei Liu, Abigail N Rankine, Li-Xiang Zhang, Zhi-Jian Wei, Wen-Xiu Han, A-Man Xu

Abstract read
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Article in World journal of gastrointestinal surgery, 2023. 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

8 authors.

Pan-Quan LuoDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
En-Dong SongDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Fei LiuFaculty of Medical Technology, Ophthalmology Laboratory, Anhui Medical College, Hefei 230601, Anhui Province, China.
Abigail N RankineDepartment of Clinical Medicine, Anhui Medical University, Hefei 230032, Anhui Province, China.
Li-Xiang ZhangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Zhi-Jian WeiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
Wen-Xiu HanDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China.
A-Man XuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China. 461961143@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established.

aimTo identify clinical characteristics and develop a specific nomogram to determine overall survival for GC patients.

methodsNine hundred and four GC patients treated at the First Affiliated Hospital of Anhui Medical University between January 2010 and January 2013 were recruited. Prognostic risk variables were screened for Cox analysis. The C index, receiver operator characteristic (ROC) curve, and decision curve analysis were used to evaluate the nomogram.

resultsTumor node metastasis stage, carcinoembryonic antigen, systemic immune-inflammation index, and age were identified as independent predictive variables by multivariate analysis. Systemic immune-inflammation index value was superior to that of other inflammatory indicators. The ROC indicated the nomogram had a higher area under the curve than other factors, and its C-index for assessing the validation and training groups of GC patients was extremely reliable.

conclusionWe created a novel nomogram to forecast the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system.

Indexed as

Gastric cancerNeutrophil-to-lymphocyte ratioNomogramPlatelet-to-lymphocyte ratioSystemic immune-inflammation index

Identifiers

PMID36741063
PMCPMC9896496

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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.