Evidence map›Paper›PMID 41526545›Full record

ArticleClinical and experimental medicine2026

Association between systemic immune-inflammatory markers and monoclonal gammopathy of undetermined significance in the elderly population: findings from the National health and nutrition examination survey.

Chengpeng Zhang, Kangyan Hou, Dongjun Lin, Cong Xu

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2026. 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
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chengpeng Zhang *Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China.
Kangyan Hou *Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China.
Dongjun LinDepartment of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China. lindj@mail.sysu.edu.cn.
Cong XuDepartment of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, China. xucong@sysush.com.

Funding

National Natural Science Foundation of China 82270176Sanming Project of Medicine in Shenzen Municipality SZSM202411022
6 · The paper itself

Abstract

backgroundMonoclonal gammopathy of undetermined significance (MGUS) is a premalignant plasma cell disorder whose prevalence increases with age and may progress to multiple myeloma. The tumor microenvironment plays a crucial role in MGUS pathogenesis and progression. Systemic immune-inflammatory markers can reflect tumor microenvironment(TME) dynamics, but their association with MGUS odds remains understudied.

methodsThis cross-sectional study analyzed data from 12,080 adults aged ≥ 50 years (including 350 MGUS cases) in the National Health and Nutrition Examination Survey (NHANES III and 1999-2004 cycles). Multivariable logistic regression assessed associations between systemic immune-inflammatory markers [lymphocyte-to-monocyte ratio(LMR), Platelet-to-lymphocyte ratio(PLR), Hemoglobin, albumin, lymphocyte, platelet score(HALP), and their individual components] and MGUS. Generalized additive models identified nonlinear relationships and threshold effects across stratified groups.

resultsHigher LMR quartiles were positively associated with MGUS prevalence (Q4 vs. Q1: OR = 1.454, 95% CI 1.048-2.016), while elevated monocyte counts (OR = 0.624, 95% CI 0.456-0.853) and albumin levels (OR = 0.446, 95% CI 0.317-0.627) correlated with reduced MGUS odds. Nonlinear analysis revealed a U-shaped association between PLR and MGUS. There are race-specific nonlinear correlations involving LMR, PLR, and lymphocyte counts with MGUS.

conclusionsSystemic immune-inflammatory markers are significantly associated with MGUS odds in older adults, highlighting their potential for early detection and longitudinal monitoring.

Indexed as

BiomarkersInflammationMonoclonal Gammopathy of Undetermined SignificanceAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceUnited StatesBiomarkersCross-sectional studyElderly populationMonoclonal gammopathy of undetermined significance (MGUS)Systemic immune-inflammatory markersThe national health and nutrition examination survey (NHANES)

Identifiers

PMID41526545
PMCPMC12819551

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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.