Evidence map›Paper›PMID 41609917›Full record

Observational studyClinical and experimental medicine2026

Gene mutation in metabolism syndrome with hematologic tumor: A retrospective cohort study.

Yanfang Zhang, Lei Yang, Yun Luo, Jianchuan Deng, Shifeng Lou

Abstract readObservational Study
In one paragraph

Observational study in Clinical and experimental medicine, 2026. 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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0citing 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Yanfang ZhangDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lei YangDepartment of Respiratory Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yun LuoDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jianchuan DengDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shifeng LouDepartment of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. 300326@hospital.cqmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolism Syndrome (MS) is strongly linked to tumorigenesis, yet its impact on gene mutations in hematologic tumors (HT) remains underexplored. This study aims to elucidate the effect of MS on HT gene mutations. Between 2021 and 2024, 229 HT patients were enrolled, including 113 with MS and 116 without. All patients underwent thorough clinical assessments and gene mutation analyses. Univariate and multivariate logistic regression were used to identify factors associated with HT gene mutations, while Spearman's correlation evaluated the ordinal relationship between HT and MS. HT patients with MS exhibited significantly higher gene mutation rates than those without MS (79.65% vs. 68.10%, p = 0.047). Multivariate logistic regression analysis revealed associations between HT gene mutations and age (OR = 1.058, 95%CI, 1.030-1.088, p < 0.001) and clinical stage (OR = 0.371, 95%CI, 0.145-0.949, p < 0.001). Subgroup analysis indicated that MS-comorbid HT patients under 60 years exhibited a notably higher mutation rate than their non-MS counterparts (72.22% vs. 50.00%, p = 0.036). Spearman's correlation analysis further confirmed a link between HT gene mutations and MS (R = - 0.131, p = 0.047). This real-world retrospective study suggests that MS may elevate gene mutation rates in HT patients, especially those under 60 years old. However, tumor gene mutations are likely influenced by multiple factors, warranting further research with a broader range of variables for a more comprehensive understanding.

Indexed as

Hematologic NeoplasmsMetabolic SyndromeMutationAdultAgedAged, 80 and overAge FactorsFemaleHumansLogistic ModelsMaleMiddle AgedNeoplasm StagingRetrospective StudiesStatistics, NonparametricAcute leukemiaGene mutationHematologic tumorLymphomaMetabolism syndromeMultiple myeloma

Identifiers

PMID41609917
PMCPMC12872661

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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.