Evidence map›Paper›PMID 32885103›Full record

ArticleJournal of frailty, sarcopenia and falls2020

The prevalence of cognitive frailty and pre-frailty among older people in Bangkok metropolitan area: a multicenter study of hospital-based outpatient clinics.

Panuwat Wongtrakulruang, Weerasak Muangpaisan, Bubpha Panpradup, Aree Tawatwattananun, Monchai Siribamrungwong, Sasinapha Tomongkon

Open access · goldAbstract read
In one paragraph

Article in Journal of frailty, sarcopenia and falls, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  14. Cognitive Frailty: An Update.Frontiers in psychology · 2021
    Review
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

6 authors at 4 institutions in 1 country.

Panuwat WongtrakulruangDepartment of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Weerasak MuangpaisanDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Bubpha PanpradupDepartment of Nursing, Lerdsin Hospital, Bangkok, Thailand.
Aree TawatwattananunDepartment of Nursing, Krathum Baen Hospital, Samut Sakhon, Thailand.
Monchai SiribamrungwongDepartment of Internal Medicine, Lerdsin Hospital, Bangkok, Thailand.
Sasinapha TomongkonDepartment of Internal Medicine, Krathum Baen Hospital, Samut Sakhon, Thailand.
Lerdsin Hospital · THPhramongkutklao Hospital · THMahidol University · THSiriraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify the prevalence of, and factors associated with, cognitive frailty and prefrailty, and to investigate correlation between frailty tools.

methodsOne hundred and ninety five older adults were recruited from the medical outpatient clinics of 3 tertiary hospitals in Bangkok metropolitan region. The data collected were demographic information, lifestyle factors, functional status, mood assessment, and cognitive and frailty assessments. The frailty tools used were Frailty Phenotype and FRAIL scale.

resultsThe prevalence of pre-frailty, frailty, mild cognitive impairment (MCI), cognitive pre-frailty and cognitive frailty was 57.4%, 15.9%, 26.2%, 14.4% and 6.7%, respectively. A multivariate analysis showed that age ≥70 years (OR 5.34; 95% CI 2.06-12.63), and education at primary school or under (OR 4.18; 95% CI 1.61-10.82) were associated with cognitive frailty and cognitive pre-frailty. The correlation between physical frailty rated by the Modified Fried Frailty Phenotype and the FRAIL scale was good (Kappa coefficient = 0.741).

conclusionsThe prevalence of cognitive frailty is not uncommon which requires screening and interventions. Age and a low educational level were related to cognitive frailty/prefrailty. The FRAIL scale yielded a high correlation with Frailty phenotypes, implying its benefit in routine clinical use in primary care practice, where there is limited time and resources.

Indexed as

Cognitive frailtyDementiaFrailtyMild cognitive impairmentPre-frailty

Identifiers

PMID32885103
PMCPMC7461353
OpenAlexW3080100253

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.