SynthesisInternational journal of chronic obstructive pulmonary disease2018
Prediction models for the development of COPD: a systematic review.
Synthesis in International journal of chronic obstructive pulmonary disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
- Prediction of Chronic Obstructive Pulmonary Disease Using Machine Learning, Clinical Summary Notes, and Vital Signs: A Single-Center Retrospective Cohort Study in the United States.Advances in respiratory medicine · 2026Article
- An interpretable ensemble learning framework for COPD classification using population-based clinical and laboratory data from NHANES.Tobacco induced diseases · 2026Article
- Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors.International journal of chronic obstructive pulmonary disease · 2026Article
- Development and Validation of a Predictive Nomogram for Progression from Pre-COPD to Spirometric COPD: A Multicenter Retrospective Cohort Study.International journal of chronic obstructive pulmonary disease · 2026Article
- Towards early detection and disease interception of COPD across the lifespan.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Prevalence and Characteristics of Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease: Overlap Syndrome.Life (Basel, Switzerland) · 2024Article
- Potential pre-COPD indicators in association with COPD development and COPD prediction models in Chinese: a prospective cohort study.The Lancet regional health. Western Pacific · 2024Article
- Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors.Nature communications · 2023Article
- Multi-Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification.Journal of healthcare engineering · 2023Article
- Impact of Previous Pulmonary Tuberculosis on Chronic Obstructive Pulmonary Disease: Baseline Results from a Prospective Cohort Study.Combinatorial chemistry & high throughput screening · 2023Article
- Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® Study.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2022Article
- Activation of NLRP3 inflammasome in stable chronic obstructive pulmonary disease.Scientific reports · 2022Article
- Predictors of chronic obstructive pulmonary disease in women who have never smoked: a cohort study.ERJ open research · 2022Article
- Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD.Frontiers in medicine · 2022Article
- Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong's Elderly Health Service Cohort.Annals of translational medicine · 2022Article
- Study on the Management of the Health Status of Patients with Stable Chronic Obstructive Pulmonary Disease Treated with Double Bronchodilator.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Ten-year prediction model for post-bronchodilator airflow obstruction and early detection of COPD: development and validation in two middle-aged population-based cohorts.BMJ open respiratory research · 2021Article
- Predicting Future Health Risk in COPD: Differential Impact of Disease-Specific and Multi-Morbidity-Based Risk Stratification.International journal of chronic obstructive pulmonary disease · 2021Article
- The Construction of Primary Screening Model and Discriminant Model for Chronic Obstructive Pulmonary Disease in Northeast China.International journal of chronic obstructive pulmonary disease · 2020Article
- Development and Assessment of Prediction Models for the Development of COPD in a Typical Rural Area in Northwest China.International journal of chronic obstructive pulmonary diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early identification of people at risk of developing COPD is crucial for implementing preventive strategies. We aimed to systematically review and assess the performance of all published models that predicted development of COPD. A search was conducted to identify studies that developed a prediction model for COPD development. The Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies was followed when extracting data and appraising the selected studies. Of the 4,481 records identified, 30 articles were selected for full-text review, and only four of these were eligible to be included in the review. The only consistent predictor across all four models was a measure of smoking. Sex and age were used in most models; however, other factors varied widely. Two of the models had good ability to discriminate between people who were correctly or incorrectly classified as at risk of developing COPD. Overall none of the models were particularly useful in accurately predicting future risk of COPD, nor were they good at ruling out future risk of COPD. Further studies are needed to develop new prediction models and robustly validate them in external cohorts.
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.