Evidence map›Paper›PMID 26061305›Full record

Observational studyMedicine2015

Risk Factors and Consequences of Cortical Thickness in an Asian Population.

Saima Hilal, Xu Xin, Seow Li Ang, Chuen Seng Tan, Narayanaswamy Venketasubramanian, Wiro J Niessen, Henri Vrooman, Tien Yin Wong, Christopher Chen, Mohammad Kamran Ikram

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  9. White matter network damage mediates association between cerebrovascular disease and cognition.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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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

10 authors at 8 institutions in 3 countries.

Saima HilalFrom the Memory Ageing and Cognition Centre (MACC), National University Health System (SH, XX, SLA, CC, MKI); Department of Pharmacology, National University of Singapore (SH, XX, SLA, CC, MKI); Saw Swee Hock School of Public Health, National University of Singapore (CST); Raffles Neuroscience Centre, Raffles Hospital, Singapore (NV); Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam (WJN, HV); Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands (WJN); Singapore Eye Research Institute, Singapore National Eye Center, Singapore (TYW, MKI); Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore (TYW, MKI); Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, The Netherlands (MKI).
Xu Xin
Seow Li Ang
Chuen Seng Tan
Narayanaswamy Venketasubramanian
Wiro J Niessen
Henri Vrooman
Tien Yin Wong
Christopher Chen
Mohammad Kamran Ikram
National University of Singapore · SGDelft University of Technology · NLDuke-NUS Medical School · SGErasmus MC · NLRaffles Institution · SGSingapore National Eye Center · SGUniversity Health System · USUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cortical thickness has been suggested to be one of the most important markers of cortical atrophy. In this study, we examined potential risk factors of cortical thickness and its association with cognition in an elderly Asian population from Singapore. This is a cross-sectional study among 572 Chinese and Malay patients from the ongoing Epidemiology of Dementia in Singapore (EDIS) Study, who underwent comprehensive examinations including neuropsychological testing and brain magnetic resonance imaging (MRI). Cortical thickness (in micrometers) was measured using a model-based automated procedure. Cognitive function was expressed as composite and domain-specific Z-scores. Cognitive impairment was categorized into cognitive impairment no dementia (CIND)-mild, CIND-moderate, and dementia in accordance with accepted criteria. Linear regression models were used to examine the association between various risk factors and cortical thickness. With respect to cognition as outcome, both linear (for Z-scores) and logistic (for CIND/dementia) regression models were constructed. Initial adjustments were made for age, sex, and education, and subsequently for other cardiovascular risk factors and MRI markers. Out of 572 included patients, 171 (29.9%) were diagnosed with CIND-mild, 197 (34.4%) with CIND-moderate, and 28 (4.9%) with dementia. Risk factors related to a smaller cortical thickness were increased age, male sex, Malay ethnicity, higher blood glucose, and body mass index levels and presence of lacunar infarcts on MRI. Smaller cortical thickness was associated with CIND moderate/dementia [odds ratio (OR) per standard deviation (SD) decrease: 1.70; 95% confidence interval (CI): 1.19-2.44, P = 0.004] and with composite Z-score reflecting global cognitive functioning [mean difference per SD decrease: -0.094; 95% CI: -0.159; -0.030, P = 0.004]. In particular, smaller cortical thicknesses in the occipital and temporal lobes were related to cognitive impairment. Finally, in terms of specific cognitive domains, the most significant associations were found for executive function, visuoconstruction, and visual memory. Smaller cortical thickness is significantly associated with cognitive impairment, suggesting a contribution of diffuse cortical atrophy beyond the medial temporal lobe to cognitive function. These findings suggest that cortical thinning is a biomarker of neurodegenerative changes in the brain not only in dementia, but also in its preclinical stages.

Indexed as

Magnetic Resonance ImagingAgedAsian PeopleCerebral CortexCognition DisordersCross-Sectional StudiesDementiaFemaleHumansMaleOrgan SizeRisk FactorsSingapore

Identifiers

PMID26061305
PMCPMC4616471
OpenAlexW1818161368

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.