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1,943
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ShareScore release 0.9.0
Dataset results
1,943 results for “pulmonary disease”
Single-cell RNA sequencing analysis of the course of Mycobacterium avium complex pulmonary disease
GEO Series GSE226099. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD
GEO Series GSE218571. Homo sapiens. 44 samples. Type: Expression profiling by RT-PCR.
Exploring an essential biomarker in pulmonary fibrosis: an integrated and cross-disease approach with spatial transcriptomics and single-cell RNA sequencing (Spatial Transcriptomics)
GEO Series GSE263976. Homo sapiens. 3 samples. Type: Other.
Changes in cholesterol homeostasis and acute phase response following pulmonary exposure to multi-walled carbon nanotubes links carbon nanotube exposure to risk of cardiovascular disease
GEO Series GSE61366. Mus musculus. 60 samples. Type: Expression profiling by array.
Patient-specific and Gene-corrected Induced Pluripotent Stem Cell-derived Endothelial Cells Elucidate Single-cell Phenotype of Pulmonary Veno-occlusive Disease
GEO Series GSE215978. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Spatial transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [Xenium]
GEO Series GSE313006. Homo sapiens. 4 samples. Type: Other.
Kinetics of progressive pulmonary cavitary TB disease in rabbits
GEO Series GSE33094. Oryctolagus cuniculus. 16 samples. Type: Expression profiling by array.
The Peripheral Blood Transcriptome Predicts the Presence and Extent of Disease in Idiopathic Pulmonary Fibrosis
GEO Series GSE33566. Homo sapiens. 123 samples. Type: Expression profiling by array.
Interferon Mediated Bronchial Epithelium Cellular Senescence in Chronic Obstructive Pulmonary Disease
GEO Series GSE256448. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease
GEO Series GSE249584. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Figure 4 from: Tachkov K, Mitov K, Savova A (2019) Predicting the outcomes and costs for a cohort of 426 patients with Chronic Obstructive Pulmonary Disease (COPD) in Bulgaria through a Markov model. Pharmacia 66(2): 53-57. https://doi.org/10.3897/pharmacia.66.e35162
Figure 4 Tornado diagram for LYS
Figure 2 from: Tachkov K, Mitov K, Savova A (2019) Predicting the outcomes and costs for a cohort of 426 patients with Chronic Obstructive Pulmonary Disease (COPD) in Bulgaria through a Markov model. Pharmacia 66(2): 53-57. https://doi.org/10.3897/pharmacia.66.e35162
Figure 2 CEAC of all data points
Figure 1 from: Tachkov K, Mitov K, Savova A (2019) Predicting the outcomes and costs for a cohort of 426 patients with Chronic Obstructive Pulmonary Disease (COPD) in Bulgaria through a Markov model. Pharmacia 66(2): 53-57. https://doi.org/10.3897/pharmacia.66.e35162
Figure 1 ICER points and dispersion cloud of Monte-Carlo simulation
Figure 3 from: Tachkov K, Mitov K, Savova A (2019) Predicting the outcomes and costs for a cohort of 426 patients with Chronic Obstructive Pulmonary Disease (COPD) in Bulgaria through a Markov model. Pharmacia 66(2): 53-57. https://doi.org/10.3897/pharmacia.66.e35162
Figure 3 Tornado diagram for QALYs
Dataset related to: "Predicting Response to In-Hospital Pulmonary Rehabilitation in Individuals Recovering From Exacerbations of Chronic Obstructive Pulmonary Disease"
<p>We provide the raw data used for the following article:</p> <p>Vitacca M, Malovini A, Paneroni M, Spanevello A, Ceriana P, Capelli A, Murgia R, Ambrosino N. <strong>Predicting Response to In-Hospital Pulmonary Rehabilitation in Individuals Recovering From Exacerbations of Chronic Obstructive Pulmonary Disease. </strong>Arch Bronconeumol. 2024 Mar;60(3):153-160. English, Spanish. doi: 10.1016/j.arbres.2024.01.001.</p> <h2>Abstract</h2> <div> <p><strong>Background: </strong>Predicting the response to pulmonary rehabilitation (PR) could be valuable in defining admission priorities. We aimed to investigate whether the response of individuals recovering from a COPD exacerbation (ECOPD) could be forecasted using machine learning approaches.</p> <p><strong>Method: </strong>This multicenter, retrospective study recorded data on anthropometrics, demographics, physiological characteristics, post-PR changes in six-minute walking distance test (6MWT), Medical Research Council scale for dyspnea (MRC), Barthel Index dyspnea (BId), COPD assessment test (CAT) and proportion of participants reaching the minimal clinically important difference (MCID). The ability of multivariate approaches (linear regression, quantile regression, regression trees, and conditional inference trees) in predicting changes in each outcome measure has been assessed.</p> <p><strong>Results: </strong>Individuals with lower baseline 6MWT, as well as those with less severe airway obstruction or admitted from acute care hospitals, exhibited greater improvements in 6MWT, whereas older as well as more dyspnoeic individuals had a lower forecasted improvement. Individuals with more severe CAT and dyspnea, and lower 6MWT had a greater potential improvement in CAT. More dyspnoeic individuals were also more likely to show improvement in BId and MRC. The Mean Absolute Error estimates of change prediction were 44.70m, 3.22 points, 5.35 points, and 0.32 points for 6MWT, CAT, BId, and MRC respectively. Sensitivity and specificity in discriminating individuals reaching the MCID of outcomes ranged from 61.78% to 98.99% and from 14.00% to 71.20%, respectively.</p> <p><strong>Conclusion: </strong>While the assessed models were not entirely satisfactory, predictive equations derived from clinical practice data might help in forecasting the response to PR in individuals recovering from an ECOPD. Future larger studies will be essential to confirm the methodology, variables, and utility.</p> </div>
Effects of a 4-week Acu-Transcutaneous Electrical Nerve Stimulation (Acu-TENS) Program on Subjects With Stable Chronic Obstructive Pulmonary Disease (COPD)
ClinicalTrials.gov study NCT00971490. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety and Efficacy of Adipose Derived Stem Cells for Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT02216630. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patients With Chronic Obstructive Pulmonary Disease at Altitude - Effect of Nocturnal Oxygen on Exercise Performance
ClinicalTrials.gov study NCT02143609. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Arm Training in Patients With Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT00657293. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Evaluation Of GW815SF For Chronic Obstructive Pulmonary Disease (Chronic Bronchitis, Emphysema)
ClinicalTrials.gov study NCT00269126. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.