Evidence map›Paper›PMID 36159480›Full record

ArticleFrontiers in nutrition2022

Visceral fat area and albumin based nutrition-related prognostic index model could better stratify the prognosis of diffuse large B-cell lymphoma in rituximab era.

Ziyuan Shen, Lingling Hu, Shuo Zhang, Qian Sun, Weidong Li, Dongmei Yan, Guoqi Cai, Wei Sang

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Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ziyuan ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Lingling HuDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shuo ZhangDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Qian SunDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Weidong LiDepartment of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Dongmei YanDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Guoqi CaiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Wei SangDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease and the existing prognosis systems based on clinical variables are difficult to stratify patients accurately. Nutritional indices play a meaningful role in prognosis of solid tumors, whereas the effect on DLBCL is still equivocal. This retrospective study aimed to develop a novel model based on nutritional indices and other clinical variables to accurately differentiate the prognosis of DLBCL. Methods: A total of 129 patients pathologically diagnosed with DLBCL in Affiliated Hospital of Xuzhou Medical University from 2014 to 2018 were retrospectively recruited. The total fat area (TFA), visceral fat area (VFA) and subcutaneous fat area (SFA) at the third lumbar vertebra level spine were obtained by computed tomography (CT) to assess the effect of nutritional status on the prognosis of DLBCL. Principal component analysis was used to reduce the dimension of nutritional indices, and continuous variables were evaluated according to X-Tile and Restricted cubic spline. Univariable and multivariable Cox proportional hazard analyses were performed on potential variables. Kaplan-Meier method was utilized to evaluate survival probabilities and the differences between groups were assessed by log-rank test. Results: X-Tile analysis divided VFA and albumin into two and three groups when applying 114.7 cm Conclusion: VFA and albumin were associated with the prognosis of DLBCL, and the NPI model based on nutritional indices could better stratify the prognosis of DLBCL.

Indexed as

albuminDLBCLnutritional indicesprognosisvisceral fat area

Identifiers

PMID36159480
PMCPMC9493197

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