ArticleAnnals of medicine2025
Development and validation of a nomogram for predicting the risk of cognitive impairment among chronic obstructive pulmonary diseases.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The Glymphatic System and Diaphragmatic Dysfunction in Patients with Chronic Obstructive Pulmonary Disease and Chronic Heart Failure: The Importance of Inspiratory Rehabilitation Training.Journal of cardiovascular development and disease · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCognitive impairment has been proven to have a significant impact on the overall quality of life among chronic obstructive pulmonary disease (COPD). Using a reliable and convenient method to identify the high-risk population of cognitive impairment may help to improve the prognosis of COPD patients. The aim of this study is to develop a nomogram for predicting cognitive impairment for COPD patients.
methodsThe convenience sampling method was employed to select COPD patients for investigation. The dataset was randomly partitioned into a development subset and a validation subset. Univariate and multiple logistic regression analyses were performed on the development dataset to ascertain risk factors for cognitive impairment and to establish a nomogram to forecast the likelihood of cognitive dysfunction in COPD patients. This model was evaluated thorough discrimination, calibration, and decision curve.
resultsAge, education level, regular exercise habits, participation in intellectual activities, FEV1/FVC, and serum albumin were significant contributing factors to cognitive impairment risk. A nomogram model for predicting cognitive impairment in COPD patients was developed based on these factors. The designed model demonstrates excellent predictive performance.
conclusionThe designed model can identify patients at high risk of cognitive impairment, providing empirical evidence for precise treatment and management of cognitive impairment in COPD patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.