ReviewJournal of personalized medicine2024
Chronic Obstructive Pulmonary Disease Mortality and Hospitalization during the COVID-19 Pandemic Compared with before the Pandemic: A Systematic Review and Meta-Analysis.
Review in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Experiences of Individuals With Chronic Obstructive Pulmonary Disease and Their Caregivers During the Pandemic: A Systematic Review.Nursing open · 2026Pooled it
- Nationwide trends in AECOPD care in Italy before, during and after COVID-19: discrepancies between data sources and across regions.BMJ open respiratory research · 2026Article
- The contributions of active and passive smoking to COPD-related mortality and DALYs in the context of COVID-19: Global Burden 2019-2021.Tobacco induced diseases · 2026Article
- Mortality Trends in Patients Aged 25 and Older With Comorbid COPD and Diabetes Mellitus in the United States: A CDC WONDER Database Study From 2000 to 2023.Canadian respiratory journal · 2026Article
- Multimodal machine learning predicts type 2 respiratory failure in COPD exacerbations: a multicenter XGBoost model with clinical nomogram.Frontiers in medicine · 2026Article
- A Decade of Healthcare Quality Assessment for Chronic Obstructive Pulmonary Disease in South Korea: Trends and Implications (2014-2023).Tuberculosis and respiratory diseases · 2025Article
- A study on the influencing factors of early clinical stability in patients with acute exacerbation of chronic obstructive pulmonary disease complicated by pneumonia.Journal of thoracic disease · 2025Article
- Predictors of mortality and hospitalised exacerbations in obstructive airway diseases.ERJ open research · 2025Article
- Hospital Admission Trends in Alpha-1-Antitrypsin Deficiency: A Sex-Based Analysis from the Spanish National Discharge Database, 2016-2022.Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
This study aimed to assess the impact of the pandemic on hospitalization and mortality rates among patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). We conducted a systematic search across three medical databases for studies comparing the AECOPD mortality and hospitalization rates during the COVID-19 pandemic with those before the pandemic, up until December 2023. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Meta-analysis of Observational Studies in Epidemiology guidelines, we performed a meta-analysis with a random-effects model to pool odds ratios (ORs), 95% confidence intervals (CIs), and heterogeneity (I
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.