Evidence map›Paper›PMID 30569077›Full record

ArticleThe journal of nutrition, health & aging2019

Assessment of Cognitive Impairment in Patients with Chronic Obstructive Pulmonary Disease Using the Rapid Cognitive Screen.

E Charbek, K Huynh, E Kim, R P Nayak

Open access · greenAbstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

E CharbekEdward Charbek, Saint Louis University, St. Louis, MO, USA, Email Address: edward.charbek@health.slu.edu.
K Huynh
E Kim
R P Nayak
Saint Louis University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the prevalence of cognitive impairment in chronic obstructive pulmonary disease (COPD) patients using the Rapid Cognitive Screen (RCS).

designCross sectional study.

participantsA total of 106 men and women with COPD 50 years of age or older.

settingPulmonary ambulatory clinic in a tertiary academic center in St. Louis, Missouri, USA. MEASUREMENTS: We enrolled patients with COPD who completed the RCS tool. Patients were classified as having normal cognition, mild cognitive impairment (MCI), or dementia if they scored ≥ 8, 6-7, or ≤ 5, respectively. The prevalence of each category was measured, and patients' baseline characteristics were compared.

resultsOne hundred and six patients completed the RCS. Of those, 36 (33.9%) patients scored ≤ 5 on the RCS, 33 (31.1%) scored 6 or 7, and 37 (34.9%) scored ≥ 8. The prevalence of dementia, MCI, and normal cognition were 33.9%, 31.1%, and 34.9%, respectively. Baseline lung function was not different between patients with normal cognition and those with abnormal cognition (FEV1 1.53 ± 0.39 vs 1.45 ± 0.32 L). In patients with abnormal cognition, there was no difference in patients' characteristics between patients with MCI or dementia.

conclusionCognitive impairment is highly prevalent in patients with COPD. RCS successfully identified cognitive impairment in COPD. We recommend performing RCS in patients with COPD routinely.

Indexed as

AgedAged, 80 and overCognitive DysfunctionCross-Sectional StudiesDementiaFemaleHumansMaleMass ScreeningMiddle AgedPulmonary Disease, Chronic Obstructivecognitive dysfunctionCOPDdementiaRapid Cognitive Screen

Identifiers

PMID30569077
PMCPMC12280482
OpenAlexW2904877582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.