Evidence map›Paper›PMID 39224937›Full record

ArticleThe Journal of international medical research2024

Construction and verification of a risk prediction model for cognitive frailty in older patients with chronic obstructive pulmonary disease and diabetes mellitus.

Meng-Yao Liang, Rui Li, Li Feng, Wei-Peng Qian

Abstract read
In one paragraph

Article in The Journal of international medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Meng-Yao LiangDepartment of Nursing, The Sixth People's Hospital of Nantong, Nantong, Jiangsu, China.
Rui LiDepartment of Nursing, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Li FengDepartment of Nursing, The Sixth People's Hospital of Nantong, Nantong, Jiangsu, China.
Wei-Peng QianDepartment of Nursing, The Sixth People's Hospital of Nantong, Nantong, Jiangsu, China.ORCID 0000-0001-9210-2247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe explored risk factors for cognitive frailty in older patients with chronic obstructive pulmonary disease (COPD) and diabetes mellitus to develop and verify a risk prediction model for cognitive frailty.

methodsThis was a cross-sectional study. Convenience sampling was used to randomly select 378 patients hospitalized between February 2022 and December 2023. We allocated 265 patients who visited between February 2022 and February 2023 to a modeling group to analyze risk factors for cognitive frailty and create a logistic regression model for risk prediction. Another 113 patients who visited between March 2023 and December 2023 were included in a validation group for model verification.

resultsThe cognitive frailty incidence in the 265 patients was 35.09% (93/265). Regression analysis showed that age >80 years (odds ratio [OR] = 4.576), regular exercise (OR = 0.390, polypharmacy (OR = 3.074), depression (OR = 2.395) duration of COPD combined with diabetes (OR = 1.902), Family APGAR index score (OR = 0.428), and chronic pain (OR = 2.156) were factors influencing the occurrence of cognitive frailty in older patients with COPD accompanied by diabetes.

conclusionsThe constructed risk prediction model for cognitive frailty in older patients with COPD and diabetes showed good predictive value, aiding in the clinical identification of high-risk patients and facilitating timely intervention and guidance.

Indexed as

FrailtyPulmonary Disease, Chronic ObstructiveAgedAged, 80 and overCognitionCognitive DysfunctionCross-Sectional StudiesDepressionDiabetes MellitusFemaleFrail ElderlyHumansIncidenceLogistic ModelsMalePolypharmacychronic obstructive pulmonary diseasecognitive frailtydiabetes mellitusmodel constructionOlder agerisk prediction

Identifiers

PMID39224937
PMCPMC11403697

What Socratic holds

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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 Socratic graph.