Evidence map›Paper›PMID 30368247›Full record

ArticleAlzheimer's research & therapy2018

Variability in metabolic parameters and risk of dementia: a nationwide population-based study.

Seung-Hwan Lee, Kyungdo Han, Hanna Cho, Yong-Moon Park, Hyuk-Sang Kwon, Gunseog Kang, Kun-Ho Yoon, Mee Kyoung Kim

Abstract read
PubMed Full text at PMC Publisher
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 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
–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

45 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Association of amyloid and cardiovascular risk with cognition: Findings from KBASE.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

8 authors.

Seung-Hwan LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.ORCID 0000-0002-3964-3877
Kyungdo HanDepartment of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Hanna ChoDepartment of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Korea.
Yong-Moon ParkEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA.
Hyuk-Sang KwonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #10 63-ro, Yeongdeungpo-gu, Seoul, 07345, Korea.
Gunseog KangDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, 07040, Korea.
Kun-Ho YoonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Korea.
Mee Kyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #10 63-ro, Yeongdeungpo-gu, Seoul, 07345, Korea. makung@catholic.ac.kr.

Funding

National Research Foundation of Korea NRF-2016R1C1B1009972
6 · The paper itself

Abstract

backgroundVariability in biological parameters has been reported to be associated with adverse health outcomes. We aimed to investigate the composite effect of the visit-to-visit variability in blood pressure, glucose, cholesterol, and body mass index on the risk of dementia.

methodsA population-based cohort study including 2,930,816 subjects without a history of dementia, hypertension, diabetes mellitus, and dyslipidemia who underwent ≥ 3 health examinations was performed. The coefficient of variation (CV), standard deviation, and variability independent of the mean were calculated as variability indices. High variability was defined as having values in the highest quartile for each parameter.

resultsA total of 32,901 (1.12%) participants developed dementia, of which 74.4% and 11.0% were attributable to Alzheimer's disease and vascular dementia, respectively, during the median follow-up of 5.5 years. Individuals with higher variability of each parameter were at higher risk of future dementia. In the multivariable adjusted model, the hazard ratios and 95% confidence intervals of all-cause dementia were 1.22 (1.19-1.26) for one parameter, 1.39 (1.35-1.43) for two parameters, 1.54 (1.48-1.60) for three parameters, and 1.73 (1.60-1.88) for four parameters compared with subjects having no parameters of high variability measured as the CV. Consistent results were noted for Alzheimer's disease and vascular dementia, using other indices of variability and in various sensitivity and subgroup analyses.

conclusionsThere was a linear association between the number of high variability parameters and risk of dementia. Reducing variability of metabolic parameters would be a target to preserve cognitive reserve in the general population.

Indexed as

BiomarkersBlood GlucoseBlood PressureBody Mass IndexCholesterolCohort StudiesDementiaFemaleHumansMaleMiddle AgedRepublic of KoreaRisk FactorsBiomarkersBlood GlucoseCholesterolBlood pressureBody mass indexCholesterolDementiaGlucoseVariability

Identifiers

PMID30368247
PMCPMC6204276

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Registered trials

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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.