Evidence map›Paper›PMID 30845934›Full record

ArticleBMC geriatrics2019

Associations of the metabolic syndrome and its components with cognitive impairment in older adults.

Insa Feinkohl, Jürgen Janke, Daniel Hadzidiakos, Arjen Slooter, Georg Winterer, Claudia Spies, Tobias Pischon

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02265263 (Biomarker Development for Postoperative Cognitive Impairment in the Elderly), which is not on this map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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.

NCT02265263 terminatednot on this map

Biomarker Development for Postoperative Cognitive Impairment in the Elderly (BioCog)

TypeobservationalSponsorCharite University, Berlin, GermanyRan2014 to 2019Enrolled1,054ConditionsPostoperative Delirium (POD), Postoperative Cognitive Deficit (POCD)
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

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  19. Metabolic syndrome and cognitive deficits in the Greek cohort of Epirus Health Study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
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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 3 institutions in 2 countries.

Insa FeinkohlMolecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany. insa.feinkohl@mdc-berlin.de.ORCID 0000-0002-0307-1862
Jürgen JankeMolecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Daniel HadzidiakosCharité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany.
Arjen SlooterUniversity Medical Center Utrecht, Utrecht, the Netherlands.
Georg WintererCharité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany.
Claudia SpiesCharité - Universitaetsmedizin Berlin, corporate member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, and Berlin Institute of Health (BIH), Berlin, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Humboldt-Universität zu Berlin · DEMax Delbrück Center · DEUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe metabolic syndrome (MetS) is an established cardiovascular risk factor. Here, we investigated its role in cognitive impairment.

methodsBaseline data from 202 participants (aged 65 to 87 years) of the BioCog study were used. All were free of clinical dementia (MMSE≥24/30). Cognitive impairment was defined as the lowest tertile of a cognitive summary score. Multiple logistic regression analyses examined associations of body mass index (BMI), triglycerides (TG), high-density lipoprotein (HDL-C), glucose and glycated hemoglobin A1c (HbA1c) levels with the odds of cognitive impairment. MetS was defined as ≥3 of its 5 components obesity (BMI ≥ 30 kg/m

resultsLower HDL-C was significantly associated with a higher odds of cognitive impairment (OR 2.70 per 1 mmol/L reduction; 95% CI 1.25, 5.56; p = 0.011), whereas BMI, TG, glucose and HbA1c were not (all p > 0.05). Results for HDL-C were similar when HDL-C, glucose, BMI and TG were entered into a single model (OR 2.56 per 1 mmol/L reduction, 95% CI 1.09, 5.88, p = 0.031) and when cerebrovascular disease and coronary heart disease were additionally controlled for (OR 2.56 per 1 mmol/L reduction, 95% CI 1.06, 6.25, p = 0.036). Among the 5 MetS components, participants with elevated TG were at 2-fold increased odds of impairment (OR 2.09, 95% CI 1.08, 4.05, p = 0.028) including when the remaining 4 MetS components were entered (OR 2.23, 95% CI 1.07, 4.65, p = 0.033), but the finding was no longer statistically significant when cerebrovascular disease and coronary heart disease were additionally controlled for (p = 0.11). Presence of MetS and of obesity, reduced HDL-C, elevated glucose or elevated blood pressure were not significantly associated with impairment (all p > 0.05).

conclusionOur findings support low HDL-C as an independent risk marker of cognitive impairment in older age. The need for research into mediatory and confounding factors, and re-evaluation of traditional cut-off points is highlighted.

trial registrationThe study was registered on 15th October 2014 at clinicaltrials.gov ( NCT02265263 ).

Indexed as

AgedAged, 80 and overBlood GlucoseBody Mass IndexCognitive DysfunctionCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMetabolic SyndromeRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanCognitive impairmentEpidemiologyGlucoseHigh-density lipoproteinMetabolic syndromeTriglycerides

Identifiers

PMID30845934
PMCPMC6407250
OpenAlexW2923904894

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.