Evidence map›Paper›PMID 35978304›Full record

ArticleBMC geriatrics2022

Prevalence and associated factors of cognitive frailty in older patients with chronic kidney disease: a cross-sectional study.

Jing Chang, Wenwen Hou, Yanchun Li, Shujuan Li, Kai Zhao, Yanfei Wang, Yuanping Hou, Qianmei Sun

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 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

8 authors at 1 institution in 1 country.

Jing ChangDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China.
Wenwen HouDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China.
Yanchun LiDepartment of Nephrology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Shujuan LiDepartment of Neurology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Kai ZhaoDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China.
Yanfei WangDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China.
Yuanping HouDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China.
Qianmei SunDepartment of Internal Medicine, Beijing Chaoyang Hospital, Capital Medical University, Gong-Ti South Road 8#, Chao-Yang District, Beijing, 100020, China. sunqianmei5825@126.com.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is prevalent in older adults. In the aging CKD population, cognitive frailty is more common, but its prevalence and associated risk factors need to be further investigated.

methodsThis is a cross-sectional study that enrolled patients aged ≥ 60 years with a diagnosis of CKD from January 2018 to February 2021. Patients were assessed for frailty and cognition with the FRAIL and the Mini-Mental State Examination (MMSE) scales and were divided into the cognitive frailty and non-cognitive frailty groups. Risk factors for cognitive frailty were identified by univariate and multivariate logistic regression analyses. A prediction model for cognitive frailty was built and a nomogram was plotted. The performance of the nomogram was evaluated by using a concordance index (C-index) and calibration plots.

resultsA total of 1015 older patients with CKD were enrolled, among whom 607 (59.8%) were males and 408 (40.2%) were females, with an age ranging from 60 to 98 years, and an cognitive frailty prevalence of 15.2%. The prevalence of cognitive frailty varied among the CKD stages 1-5, with rates of 4.7%, 7.5%, 13.8%, 18.5%, and 21.4%, respectively. Multivariate logistic regression analysis showed that age (OR = 1.11, 95%CI 1.08-1.14, p < 0.001), depression (OR = 2.52, 95%CI 1.54-4.11, p < 0.001), low social support (OR = 2.08, 95%CI 1.28-3.39, p = 0.003), Charlson comorbidity index (CCI) (OR = 1.92, 95%CI 1.70-2.18, p < 0.001), eGFR (OR = 0.98, 95%CI 0.96-0.99, p < 0.001) and albuminuria (OR = 5.93, 95%CI 3.28-10.74, p < 0.001) were independent risk factors affecting the association with cognitive frailty in older patients with CKD. A nomogram for assessing cognitive frailty was established and well-calibrated with a C-index of 0.91 (95%CI 0.89-0.94).

conclusionsThe prevalence of cognitive frailty was higher in older patients having CKD. Advanced age, comorbidity, depression, low social support, eGFR and albuminuria were independent risk factors for CKD accompanied with cognitive frailty.

Indexed as

FrailtyRenal Insufficiency, ChronicAgedAlbuminuriaCross-Sectional StudiesFemaleFrail ElderlyGeriatric AssessmentHumansMalePrevalenceChronic kidney diseaseCognitive frailtyElderlyNomogramRisk factors

Identifiers

PMID35978304
PMCPMC9386941
OpenAlexW4292133623

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.