Evidence map›Paper›PMID 41021376›Full record

ArticleJournal of diabetes investigation2025

Red blood cell distribution width is associated with renal tubular injury in individuals with type 2 diabetes.

Kohsuke Miyataka, Yousuke Kaneko, Taiki Hori, Yuki Yamaguchi, Seijiro Tsuji, Tomoyo Hara, Hiroki Yamagami, Sumiko Yoshida, Toshiki Otoda, Tomoyuki Yuasa and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

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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

18 authors.

Kohsuke MiyatakaDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Yousuke KanekoDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Taiki HoriDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Yuki YamaguchiDepartment of Internal Medicine, Takamatsu Municipal Hospital, Takamatsu, Kagawa, Japan.
Seijiro TsujiDepartment of Endocrinology and Metabolism, Shikoku Medical Center for Children and Adults Hospital, Zentsuji, Kagawa, Japan.
Tomoyo HaraDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Hiroki YamagamiDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Sumiko YoshidaDepartment of Endocrinology and Metabolism, Shikoku Medical Center for Children and Adults Hospital, Zentsuji, Kagawa, Japan.
Toshiki OtodaDepartment of Community Medicine and Medical Science, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Tomoyuki YuasaDepartment of Community Medicine and Medical Science, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Akio KurodaDiabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, Japan.
Takeshi HaradaDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Hirokazu MikiDivision of Transfusion Medicine and Cell Therapy, Tokushima University Hospital, Tokushima, Japan.
Shingen NakamuraDepartment of Community Medicine and Medical Science, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Itsuro EndoDepartment of Bioregulatory Sciences, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Munehide MatsuhisaDiabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, Japan.
Ken-Ichi MatsuokaDepartment of Hematology, Endocrinology and Metabolism, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Ken-Ichi AiharaDepartment of Community Medicine and Medical Science, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.ORCID https://orcid.org/0000-0001-8906-0920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionRed blood cell distribution width (RDW) is a parameter of erythrocyte volume heterogeneity that has been traditionally used as an indicator of anemia and other hematopoietic abnormalities. Although the RDW-coefficient of variation (RDW-CV) increases in individuals with diabetes, its clinical significance in diabetic kidney disease (DKD), including glomerular and tubular injury, is unclear. Therefore, we aimed to clarify the relationship between RDW-CV and DKD indices in individuals with type 2 diabetes. MATERIALS AND

methodsThis was a multicenter, retrospective, cross-sectional study. In 490 Japanese individuals with type 2 diabetes (309 men and 181 women), multiple regression analysis was performed to examine the degree of association between DKD indices (estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (uACR), log-transformed uACR (Log-uACR), urinary liver-type fatty acid-binding protein (uL-FABP)-to-creatinine ratio (uL-FABPCR), and log-transformed uL-FABPCR (Log-uL-FABPCR)) and clinical confounding factors, including RDW-CV.

resultsNo significant associations were identified between RDW-CV and eGFR, uACR, or Log-uACR in either the simple or multiple linear regression analyses. However, significant and independent positive associations between RDW-CV and both uL-FABPCR and Log-uL-FABPCR were identified in multiple regression analyses (P = 0.002 and P = 0.034, respectively). Additionally, logistic regression analysis showed that RDW-CV was an aggravating factor for the incidence of advanced tubular injury [odds ratio, 1.241 (95% confidence interval: 1.010-1.520), P = 0.037].

conclusionsRDW-CV was independently and positively correlated with urinary excretion of L-FABP. Therefore, RDW-CV may be a simple and useful biomarker for detecting renal tubular injury in individuals with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesErythrocyte IndicesKidney TubulesAgedBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersRed blood cell distribution widthRenal tubular injuryType 2 diabetes

Identifiers

PMID41021376
PMCPMC12679175

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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.