Evidence map›Paper›PMID 40589637›Full record

ArticleFrontiers in oncology2025

Association of dynamic changes in metabolic syndrome components with clinical outcomes in diffuse large B-cell lymphoma.

Dewan Zhao, He Xu, Fengrao Tang, Tongcheng Cui, Xiuli Sun, Guirong Song

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dewan ZhaoDepartment of Hematology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
He XuDepartment of Hematology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Fengrao TangDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Tongcheng CuiDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
Xiuli SunDepartment of Hematology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Guirong SongDepartment of Health Statistics, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diffuse Large B-Cell Lymphoma (DLBCL) is the most common subtype of Non-Hodgkin Lymphoma (NHL), with 20-40% of patients experiencing poor outcomes despite advancements in treatment. While Metabolic Syndrome (MetS) has been linked to NHL prognosis, its impact on DLBCL outcomes remains unclear. Methods: This study examined the effects of dynamic changes in MetS components on DLBCL treatment outcomes and prognosis. We retrospectively analyzed 125 newly diagnosed DLBCL patients treated with 6-8 cycles of CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) or CHOP-like regimens, with or without rituximab, from May 2010 to May 2022. Group-based trajectory models were used to identify MetS component trajectories. Multivariate logistic regression and Cox proportional hazards regression were employed to determine factors affecting complete remission (CR), progression-free survival (PFS), and overall survival (OS). Results: The 2-year PFS and OS rates were 70.0% and 82.0%, respectively. High baseline high-density lipoprotein cholesterol (HDL-C) was associated with reduced progression risk (HR = 0.27, 95% CI: 0.10-0.78), while high baseline low-density lipoprotein cholesterol (LDL-C) was linked to decreased CR rate (OR = 0.65, 95% CI: 0.44-0.97) and increased progression risk (HR = 1.78, 95% CI: 1.14-2.79). Additionally, high LDL-C trajectory was associated with reduced CR rates, whereas moderate BMI trajectory was associated with improved CR, PFS, and OS. Discussion: Therefore, controlling LDL-C levels and maintaining a moderate BMI are crucial for improving DLBCL clinical outcomes.

Indexed as

body mass indexdiffuse large B-cell lymphomaHDL cholesterolLDL cholesterolmetabolic syndrome

Identifiers

PMID40589637
PMCPMC12206803

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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.