ReviewInternational journal of chronic obstructive pulmonary disease2022
CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.
Review in International journal of chronic obstructive pulmonary disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Association of PiSlope with lung function decline in individuals with preserved spirometry: a prospective cohort study.ERJ open research · 2026Article
- Clinical characteristics and longitudinal prognosis of patients with mild-to-moderate chronic obstructive pulmonary disease progressing from different lung function trajectories.Journal of thoracic disease · 2026Article
- Efficacy and safety of glycopyrrolate/formoterol fumarate metered dose inhaler in patients with tuberculosis-associated chronic obstructive pulmonary disease: study protocol for a randomised controlled trial.Journal of thoracic disease · 2026Article
- The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026Review
- Association of AI-Derived Quantitative CT Parameters of Airway, Emphysema, and Pulmonary Vasculature with Lung Cancer: A Cross-Sectional AnalysisCurrent medical imaging · 2026Article
- Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.Lasers in medical science · 2025Review
- Association between impaired diffusion capacity and small airway dysfunction: a cross-sectional study.ERJ open research · 2025Article
- The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review.Journal of thoracic disease · 2023Review
- Deployment-Related Respiratory Disease: Where Are We?Seminars in respiratory and critical care medicine · 2023Review
- Bronchoscopic Management of COPD and Advances in Therapy.Life (Basel, Switzerland) · 2023Review
- The Quantitative Computed Tomography Techniques are Alternate Modalities of Assessing the Disease Profile of COPD Instead of Pulmonary Function Testing Under COVID-19 Pandemic [Letter].International journal of chronic obstructive pulmonary disease · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Chronic obstructive pulmonary disease (COPD) is heterogenous in its clinical manifestations and disease progression. Patients often have disease courses that are difficult to predict with readily available data, such as lung function testing. The ability to better classify COPD into well-defined groups will allow researchers and clinicians to tailor novel therapies, monitor their effects, and improve patient-centered outcomes. Different modalities of assessing these COPD phenotypes are actively being studied, and an area of great promise includes the use of quantitative computed tomography (QCT) techniques focused on key features such as airway anatomy, lung density, and vascular morphology. Over the last few decades, companies around the world have commercialized automated CT software packages that have proven immensely useful in these endeavors. This article reviews the key features of several commercial platforms, including the technologies they are based on, the metrics they can generate, and their clinical correlations and applications. While such tools are increasingly being used in research and clinical settings, they have yet to be consistently adopted for diagnostic work-up and treatment planning, and their full potential remains to be explored.
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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.