ArticleChronic obstructive pulmonary diseases (Miami, Fla.)2014
Longitudinal Computed Tomography and Magnetic Resonance Imaging of COPD: Thoracic Imaging Network of Canada (TINCan) Study Objectives.
Article in Chronic obstructive pulmonary diseases (Miami, Fla.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Diffusing capacity in chronic obstructive pulmonary disease assessment: A meta-analysis.Chronic respiratory diseasePooled it
- Mechanical Forces and Mechanotransduction in COPD: Pathogenesis, Clinical Phenotypes, and Therapeutic Implications.International journal of chronic obstructive pulmonary disease · 2026Review
- Machine learning and magnetic resonance image texture analysis predicts accelerated lung function decline in ex-smokers with and without chronic obstructive pulmonary disease.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Undersampled Diffusion-WeightedDiagnostics (Basel, Switzerland) · 2023Article
- Article
- Design and application of an MR reference phantom for multicentre lung imaging trials.PloS one · 2018Article
- Developing and Implementing Biomarkers and Novel Imaging in COPD.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the human and societal burden and cost of COPD is staggering, there are few clinical tools that provide earlier diagnoses or a means to regionally monitor disease in a way that might lead to improved therapies and outcomes. In acknowledgement of the current gaps in COPD therapy, the objective of the Thoracic Imaging Network of Canada (TINCan) is to improve COPD patient phenotyping through imaging, to provide methods and imaging-based intermediate endpoints for the development of new treatments, and to evaluate disease progression and patient-based outcomes in COPD patients and those at risk of COPD. Here we summarize and outline the TINCan study protocol and describe our objectives. TINCan is a prospective study that aims to identify and quantify novel COPD phenotypes from thoracic computed tomography (CT) and thoracic hyperpolarized noble gas magnetic resonance imaging (MRI) in 200 ex-smokers, 50 years of age or greater, including asymptomatic ex-smokers with normal pulmonary function and Global initiative for chronic Obstructive Lung Disease (GOLD) Unclassified (U) , and GOLD stages I-IV patients. Baseline and 2-year follow-up measurements will be acquired using spirometry, plethysmography, diffusing capacity of the lung for carbon monoxide (DL
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.