Evidence map›Paper›PMID 30400991›Full record

ArticleAlzheimer's research & therapy2018

Haemoglobin, magnetic resonance imaging markers and cognition: a subsample of population-based study.

Bryce Tan, Narayanaswamy Venketasubramanian, Henri Vrooman, Ching-Yu Cheng, Tien Yin Wong, Christopher Chen, Saima Hilal

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Blood-Based Biomarkers for Post-Stroke Cognitive Impairment.Current issues in molecular biology · 2026
    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

7 authors at 4 institutions in 1 country.

Bryce TanMemory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.
Narayanaswamy VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore.
Henri VroomanDepartments of Radiology & Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands.
Ching-Yu ChengSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Tien Yin WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Christopher ChenMemory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.
Saima HilalMemory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore. phchs@nus.edu.sg.
National University Health System · SGSingapore Eye Research Institute · SGNational University of Singapore · SGRaffles Institution · SG

Funding

National Medical Research Council R-184-006-184-511
6 · The paper itself

Abstract

backgroundLow haemoglobin is highly prevalent among the elderly and has been associated with dementia. However, the mechanisms underlying this association with cognitive dysfunction, either through cerebrovascular disease or neurodegeneration, remain poorly understood. We aimed to examine the association of decreased haemoglobin levels with markers of cerebral small vessel disease (CSVD), neurodegeneration and cognitive impairment in an elderly Asian population.

methodsA total of 796 Chinese, Malay and Indian participants aged 60 years and older from the Epidemiology of Dementia in Singapore study were included in this study. After providing information on demographics, anthropometry and cardiovascular risk factors, participants underwent 3-T brain magnetic resonance imaging (MRI) to measure markers of CSVD, including cerebral microbleeds, cortical cerebral microinfarcts, lacunes, enlarged perivascular spaces and white matter hyperintensities, as well as neurodegenerative markers, including cortical thickness and subcortical structure volumes quantified using FreeSurfer. Cognition was assessed using a detailed neuropsychological assessment. Logistic and linear regression models were constructed, adjusting for age, gender, education, race, body mass index, smoking, hypertension, hyperlipidaemia, diabetes, glomerular filtration rate and other MRI markers, to test the association between haemoglobin levels and the MRI markers and cognition.

resultsDecreased haemoglobin levels were associated with cerebral microbleeds, specifically lobar microbleeds (OR, 1.21; 95% CI, 1.04-1.40; p = 0.015). Decreased haemoglobin levels were also associated with occipital cortical thinning (mean difference, - 0.011; 95% CI, - 0.019, - 0.004; p = 0.003) and smaller accumbens volume (mean difference, - 0.01; 95% CI, - 0.02, 0.00; p = 0.005). A significant association was also observed between decreased haemoglobin levels and poorer global cognitive performance (mean difference, - 0.04; 95% CI, - 0.09, 0.00; p = 0.048). In cognitive domain analysis, associations were again observed between decreased haemoglobin levels and worse performance on attention (mean difference, - 0.05; 95% CI, - 0.10, - 0.01; p = 0.028) and language (mean difference, - 0.06; 95% CI, - 0.12, 0.00; p = 0.048) domains; however, these associations did not survive multiple comparison.

conclusionsDecreased haemoglobin levels were associated with lobar microbleeds, neurodegenerative markers and cognitive dysfunction. Future studies should ascertain whether iron, folate or vitamin B

Indexed as

AgedBiomarkersBrainCerebral Small Vessel DiseasesCognitive DysfunctionFemaleHemoglobinsHumansMagnetic Resonance ImagingMaleMiddle AgedNeurodegenerative DiseasesNeuropsychological TestsBiomarkersHemoglobinsAnaemiaCognitive impairmentCortical thinningHaemoglobinMicrobleed

Identifiers

PMID30400991
PMCPMC6220511
OpenAlexW2900258665

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.