Evidence map›Paper›PMID 26852960›Full record

SynthesisJournal of the American Medical Directors Association2016

Poor Gait Performance and Prediction of Dementia: Results From a Meta-Analysis.

Olivier Beauchet, Cédric Annweiler, Michele L Callisaya, Anne-Marie De Cock, Jorunn L Helbostad, Reto W Kressig, Velandai Srikanth, Jean-Paul Steinmetz, Helena M Blumen, Joe Verghese and 1 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the American Medical Directors Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 8 pooled it
19.4field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 8 syntheses or guidelines pooled it, 294 citations in OpenAlex.

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83 more citing papers are in PubMed but not listed here.

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

11 authors at 9 institutions in 8 countries.

Olivier BeauchetDivision of Geriatric Medicine, Department of Medicine, Sir Mortimer B. Davis, Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Center of Excellence on Aging and Chronic Diseases of McGill Integrated University Health Network, Quebec, Canada. Electronic address: olivier.beauchet@mcgill.ca.
Cédric AnnweilerDivision of Geriatrics, Department of Neuroscience, Angers University Hospital, Angers, France.
Michele L CallisayaMenzies Institute of Medical Research, University of Tasmania, Hobart, Australia; Stroke and Ageing Research Group, Department of Medicine, Southern Clinical School, Monash University, Victoria, Australia.
Anne-Marie De CockDepartment of Geriatrics and Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp and AZ St Maarten Mechelen, Antwerp, Belgium.
Jorunn L HelbostadDepartment of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Reto W KressigDepartment University Center for Medicine of Aging, Felix Platter Hospital and University of Basel, Basel, Switzerland.
Velandai SrikanthStroke and Ageing Research Group, Department of Medicine, Southern Clinical School, Monash University, Victoria, Australia.
Jean-Paul SteinmetzCenter for Memory and Mobility (CeM(2)), Luxembourg City, Luxembourg.
Helena M BlumenDivision of Cognitive and Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY.
Joe VergheseDivision of Cognitive and Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY.
Gilles AllaliDivision of Cognitive and Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY; Department of Neurology, Geneva University Hospital and University of Geneva, Geneva, Switzerland.
Monash University · AUYeshiva University · USAlbert Einstein College of Medicine · USJewish General Hospital · CANorwegian University of Science and Technology · NOUniversité d'Angers · FRUniversity of Antwerp · BEUniversity of Basel · CHUniversity of Luxembourg · LU

Funding

Clinical and Translational Science AwardKL2TR001071 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SHAMOON, HARRY · 2013 to 2017
$968k
NCATS NIH HHS KL2 TR001071
6 · The paper itself

Abstract

backgroundPoor gait performance predicts risk of developing dementia. No structured critical evaluation has been conducted to study this association yet. The aim of this meta-analysis was to systematically examine the association of poor gait performance with incidence of dementia.

methodsAn English and French Medline search was conducted in June 2015, with no limit of date, using the medical subject headings terms "Gait" OR "Gait Disorders, Neurologic" OR "Gait Apraxia" OR "Gait Ataxia" AND "Dementia" OR "Frontotemporal Dementia" OR "Dementia, Multi-Infarct" OR "Dementia, Vascular" OR "Alzheimer Disease" OR "Lewy Body Disease" OR "Frontotemporal Dementia With Motor Neuron Disease" (Supplementary Concept). Poor gait performance was defined by standardized tests of walking, and dementia was diagnosed according to international consensus criteria. Four etiologies of dementia were identified: any dementia, Alzheimer disease (AD), vascular dementia (VaD), and non-AD (ie, pooling VaD, mixed dementias, and other dementias). Fixed effects meta-analyses were performed on the estimates in order to generate summary values.

resultsOf the 796 identified abstracts, 12 (1.5%) were included in this systematic review and meta-analysis. Poor gait performance predicted dementia [pooled hazard ratio (HR) combined with relative risk and odds ratio = 1.53 with P < .001 for any dementia, pooled HR = 1.79 with P < .001 for VaD, HR = 1.89 with P value < .001 for non-AD]. Findings were weaker for predicting AD (HR = 1.03 with P value = .004).

conclusionsThis meta-analysis provides evidence that poor gait performance predicts dementia. This association depends on the type of dementia; poor gait performance is a stronger predictor of non-AD dementias than AD.

Indexed as

AgedAged, 80 and overDementiaFemaleGaitHumansMalePredictive Value of TestsPsychomotor PerformancedementiaEpidemiologygait disorders/ataxiamotor control

Identifiers

PMID26852960
PMCPMC5319598
OpenAlexW2256375944

What OpenQuestion holds

Textmetadata
LicenceTDM
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.