Evidence map›Paper›PMID 40491590›Full record

ArticleFrontiers in endocrinology2025

Role of B lymphocyte ratio in development of type 2 diabetes mellitus: results of a 7-year follow-up study.

Dan-Ting Shen, Zhong-Hong Qie, Lan-Jing Zhao, Li-Juan Pan, Su-Dan Wang, Chun-Xing Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

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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.

  1. Review
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4 · The record

Corrections and comments

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.

Dan-Ting Shen *Department of Laboratory medicine, Shanghai Health and Medical Center, Huadong Sanatorium, Wuxi, Jiangsu, China.
Zhong-Hong Qie *Department of Laboratory medicine, Shanghai Health and Medical Center, Huadong Sanatorium, Wuxi, Jiangsu, China.
Lan-Jing ZhaoDepartment of Laboratory medicine, Shanghai Health and Medical Center, Huadong Sanatorium, Wuxi, Jiangsu, China.
Li-Juan PanDepartment of Ophthalmology and Otolaryngology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi, Jiangsu, China.
Su-Dan WangNanchang Center for Disease Control and Prevention, Nanchang, China.
Chun-Xing LiuDepartment of Laboratory medicine, Shanghai Health and Medical Center, Huadong Sanatorium, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between B lymphocyte ratio (BLR) and type 2 diabetes mellitus (T2DM) outcome among healthy people. Methods: A retrospective study cohort was constructed based on healthy people who participated in annual physical examination in Shanghai Health and Medical Center from 2013 to 2020. For each patient, we collected data at the first physical examination in 2013. The Cox proportional risk regression model was used to analyze the association between BLR and the risk of T2DM. The mediating effect of traditional metabolic factors were further explored. Results: The study included 1505 participants with a mean age of 48.77 ± 8.33 years at baseline and a follow-up duration of 7.36 ± 0.99 years. During follow-up, a total of 72 new T2DM cases were identified (7.9/1000 person-years). After adjusted for confounders, the results showed that the participants with higher level of BLR (Quartile 4) had a doubling of the risk of T2DM when compared to those with lower BLR level (Quartile 1). The association of BLR with the risk of T2DM remained robust when patients with hypertension or patients with obesity were excluded. In addition, traditional metabolic factors including HDL-C and LDL-C partially mediated the association between BLR and the risk of T2DM. Conclusion: Elevated BLR level is significantly associated with a higher risk of T2DM development. HDL-C and LDL-C partially mediated the association between BLR and T2DM risk. Our research may have the potential to provide new therapeutic targets for the treatment of T2DM.

Indexed as

B-LymphocytesDiabetes Mellitus, Type 2AdultChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesRisk FactorsB cellB lymphocyte ratiocohort studythe mediation effecttype 2 diabetes mellitus

Identifiers

PMID40491590
PMCPMC12146167

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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.