Evidence map›Paper›PMID 39589447›Full record

ArticleNeuroradiology2025

Association between hemoglobin levels and cerebral white matter volume in a general older Japanese population: the Iki-Iki study.

Hiroki Yamamoto, Keita Watanabe, Shota Momma, Soichiro Tatsuo, Masashi Matsuzaka, Yoshinori Tamada, Tatsuya Mikami, Shigeyuki Nakaji, Shingo Kakeda

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Article in Neuroradiology, 2025. 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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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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hiroki YamamotoDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.ORCID http://orcid.org/0000-0001-8433-1373
Keita WatanabeDepartment of Radiology, Kyoto Prefectural University of Medicine, 465 Kajiimachi, Jokyo-ku, Kyoto, Kyoto-shi, Kyoto-fu, Japan. kw0928@koto.kpu-m.ac.jp.
Shota MommaDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Soichiro TatsuoDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.
Masashi MatsuzakaDepartment of Medical Informatics and Clinical Research Support Center, Hirosaki University Hospital, Hirosaki, Japan.
Yoshinori TamadaDepartment of Medical Data Intelligence, Research Center for Health-Medical Data Science (RCoHMDS), Hirosaki University, Hirosaki, Japan.
Tatsuya MikamiInnovation Center for Health Promotion, Graduate School Of Medicine, Hirosaki University, Hirosaki, Japan.
Shigeyuki NakajiDepartment of Medical Data Intelligence, Research Center for Health-Medical Data Science (RCoHMDS), Hirosaki University, Hirosaki, Japan.
Shingo KakedaDepartment of Radiology, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan.

Funding

JP16dk0207025 JP16dk0207025
6 · The paper itself

Abstract

purposeAlthough previous studies have reported that hemoglobin levels can affect the brain, very few have focused on the association between hemoglobin levels and brain volume. We aimed to identify the influence of hemoglobin levels on brain volume measured using magnetic resonance imaging (MRI) in a large elderly population.

methodsThis cross-sectional study included 2153 participants (median age, 69 years; 60.2% female) who underwent 3T brain MRI. Multiple regression analyses were performed after adjusting for potential confounders. In the subgroup analyses, participants were divided into four groups according to sex and age threshold (lower age group [65-74] and higher age group [≥ 75]).

resultsAfter adjusting for potential confounders, total white matter volume reduction was found to be associated with decreased hemoglobin levels (females: standardized β = 0.059, [95% confidence interval (CI): 0.0032, 0.11], P = 0.038, males: standardized β = 0.069 [95% CI: -0.00023, 0.14], P = 0.051). This relationship was notable in younger age groups of both sexes. After adjustment, the total gray matter and hippocampal volumes were not significantly associated with hemoglobin levels.

conclusionLow hemoglobin levels may have deleterious effects on white matter volume, which diminishes with age.

Indexed as

HemoglobinsMagnetic Resonance ImagingWhite MatterAgedAged, 80 and overCross-Sectional StudiesEast Asian PeopleFemaleHumansJapanMaleOrgan SizeHemoglobinsBrain volumeHemoglobin levelIntracranial volumeMagnetic resonance imagingWhite Matter

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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.