Evidence map›Paper›PMID 36771348›Full record

ArticleNutrients2023

Prognostic Utility of Nutritional Risk Index in Patients with Head and Neck Soft Tissue Sarcoma.

Zan Jiao, Chengcai Liang, Guangfeng Luo, Mengmeng Liu, Ke Jiang, Ankui Yang, Yao Liang

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zan JiaoState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Chengcai LiangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Guangfeng LuoState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Mengmeng LiuState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Ke JiangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Ankui YangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Yao LiangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.ORCID 0000-0001-9437-1408

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-Roche2019/2-0049National Natural Science Foundation of China 81902736, 81972382 and 81872091
6 · The paper itself

Abstract

backgroundThe nutritional risk index (NRI) is an excellent indicator of nutritional status and a significant prognostic factor in several malignancies, but the relationship between NRI and the prognosis of head and neck soft tissue sarcoma (HNSTS) patients remains unclear. The aim of this study was to investigate the role of NRI in patients with HNSTS.

methodsWe retrospectively reviewed patients with HNSTS between 1990 and 2021. In order to determine the optimal cut-off value of NRI, the Maximally selected log-rank statistic was performed. We evaluated the effect of NRI on overall survival (OS) and progression-free survival (PFS) by using the Kaplan-Meier method and Cox regression analysis. Then, OS and PFS nomograms based on NRI were constructed.

resultsIn total, 436 HNSTS patients were included in this study. The optimal cut-off value of NRI was 99.34. Patients with low-NRI showed significantly worse OS and PFS than patients with high-NRI, respectively (5-year OS rate of 43.0 vs. 70.8%, 5-year PFS rate of 29.0 vs. 45.0%, all

conclusionsNRI is an independent predictor of OS and PFS in HNSTS patients. The validated nomograms based on NRI provide useful predictions of OS and PFS for patients with HNSTS.

Indexed as

NomogramsSarcomaHumansPrognosisProgression-Free SurvivalRetrospective Studieshead and necknomogramnutritional risk indexprognosissoft tissue sarcoma

Identifiers

PMID36771348
PMCPMC9920856

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