ReviewCureus2024
Prevalence and Impact of Thyroid Dysfunction in Patients With Chronic Pulmonary Obstructive Pulmonary Disorder: A Systematic Review and Meta-Analysis.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses 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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 2 citations in OpenAlex.
- Prevalence and incidence of hypothyroidism and hyperthyroidism in patients with chronic kidney disease on dialysis: a systematic review and meta-analysis.BMC nephrology · 2026Pooled it
- Prevalence and clinical characterisation of thyroid dysfunction in COPD: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- High Prevalence of Non-thyroidal Illness Syndrome in Patients with Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-analysis.The Eurasian journal of medicine · 2026Article
- Chronic Obstructive Pulmonary Disease and Multimorbidity: Insights from a National Claims Administrative Database.International journal of chronic obstructive pulmonary disease · 2026Article
- Chronic obstructive pulmonary disease (COPD) and autoimmune diseases: unravelling complex interactions.Annals of medicine · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid gland dysfunction (TGD) has been increasingly recognized as a potential comorbidity in patients with chronic obstructive pulmonary disease (COPD). This study was designed to determine the prevalence of TGD in COPD patients. This systematic review and meta-analysis was conducted according to the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). To comprehensively identify relevant studies, a systematic search was conducted in major electronic databases, including PubMed, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHIL). The search was limited to English-language studies published after 31 December 2000. To determine the prevalence of TGD and assess the impacts, we compared forced vital capacity (FVC) (%), forced expiratory volume in one second (FEV1) (%), partial pressure of oxygen (PaO2) (mmHg), and partial pressure of carbon dioxide (PaCO2) (mmHg) between patients with and without TGD. A total of nine articles were included in this meta-analysis. The sample size of included studies ranged from 50 to 309. The pooled prevalence of TGD in patients with COPD was 45% (95% CI: 25% to 65%). The most common form of TGD was hypothyroidism. The study identified a lack of significant associations between TGD and COPD severity or various characteristics, highlighting the need for future prospective multi-center research, particularly with larger sample sizes to determine the clinical factors and biomarkers affecting the development of thyroid dysfunction in this population.
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.