Evidence map›Paper›PMID 31969126›Full record

ArticleBMC geriatrics2020

The importance of stroke as a risk factor of cognitive decline in community dwelling older and oldest peoples: the SONIC study.

Werayuth Srithumsuk, Mai Kabayama, Yasuyuki Gondo, Yukie Masui, Yuya Akagi, Nonglak Klinpudtan, Eri Kiyoshige, Kayo Godai, Ken Sugimoto, Hiroshi Akasaka and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

20 authors at 4 institutions in 1 country.

Werayuth SrithumsukDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Mai KabayamaDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yasuyuki GondoDepartment of Clinical Thanatology and Geriatric Behavioral Science, Graduate School of Human Sciences, Osaka University, Osaka, Japan.
Yukie MasuiTokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.
Yuya AkagiDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Nonglak KlinpudtanDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Eri KiyoshigeDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Kayo GodaiDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan.
Ken SugimotoDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Hiroshi AkasakaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yoichi TakamiDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yasushi TakeyaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Koichi YamamotoDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Kazunori IkebeDepartment of Prosthodontics, Gerodontology and Oral Rehabilitation, Graduate School of Dentistry, Osaka University, Osaka, Japan.
Madoka OgawaTokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.
Hiroki InagakiTokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.
Tatsuro IshizakiTokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan.
Yasumichi AraiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.
Hiromi RakugiDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Kei KamideDepartment of Health Promotion System Sciences, Division of Health Sciences, Graduate School of Medicine, Osaka University, Osaka, Japan. kamide@sahs.med.osaka-u.ac.jp.
Osaka University · JPTokyo Metropolitan Geriatric Hospital · JPKeio University · JPOsaka University of Human Sciences · JP

Funding

Ministry of Education, Culture, Sports, Science, and Technology of Japan 19K07888Ministry of Education, Culture, Sports, Science, and Technology of Japan 19K11138
6 · The paper itself

Abstract

backgroundCognitive impairment is a major health concern among older and oldest people. Moreover, stroke is a relevant contributor for cognitive decline and development of dementia. The study of cognitive decline focused on stroke as the important risk factor by recruiting older and oldest is still lagging behind. Therefore, the aim of this study was to investigate the importance of stroke as a risk factor of cognitive decline during 3 years in community dwelling older and oldest people.

methodsThis study was longitudinal study with a 3-year follow-up in Japan. The participants were 1333 community dwelling older and oldest people (70 years old = 675, 80 years old = 589, and 90 years old = 69). Data collected included basic data (age, sex, and history of stroke), vascular risk factors (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and current smoking), and social factors (educational level, frequency of going outdoors, long-term care (LTC) service used, and residential area). The Japanese version of the Montreal Cognitive Assessment (MoCA-J) was decline of ≥2 points was defined as cognitive decline. Multiple logistic regression analysis was used to investigate the association between stroke and other risk factors with cognitive decline during a 3-year follow-up.

resultsThe fit of the hypothesized model by multiple logistic regression showed that a history of stroke, advanced age, and greater MoCA-J score at the baseline were important risk factors, while the presence of dyslipidemia and a higher educational level were protective factors that were significantly correlated with cognitive decline during the 3-year follow-up.

conclusionsThe cognitive decline after the 3-year follow-up was influenced by the history of stroke and advanced age, while greater MoCA-J score at the baseline was positively associated with subsequent 3 years cognitive decline. The protective factors were the presence of dyslipidemia and a higher educational level. Therefore, these factors are considered important and should be taken into consideration when searching for creative solutions to prevent cognitive decline after stroke in community dwelling older and oldest people.

Indexed as

Cognitive DysfunctionStrokeAgedFemaleHumansIndependent LivingJapanLongitudinal StudiesMaleRisk FactorsCognitive declineOlder and oldest peopleStroke

Identifiers

PMID31969126
PMCPMC6977260
OpenAlexW3005450537

What OpenQuestion holds

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LicenceCC BY
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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.