Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07602192 (Prospective Multicenter Cohort to Discriminate Asthma Versus Chronic Obstructive Pulmonary Disease and Predict Treatment Response Using Quantitative Chest CT and Multi-Omics), which is not on this map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.
2 · The registry
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.
Prospective Multicenter Cohort to Discriminate Asthma Versus Chronic Obstructive Pulmonary Disease and Predict Treatment Response Using Quantitative Chest CT and Multi-Omics
TypeobservationalSponsorKorea University Guro HospitalRan2025 to 2027Enrolled200ConditionsAsthma (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease)
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
11 authors.
Sang Hyuk Kim *Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0410-8524
Sung Won ChangDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5594-1084
Jae Kyeom SimDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0873-2807
Jee Youn OhDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1219-0070
Kyung Hoon MinDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0610-2182
Gyu Young HurDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5039-0199
Sung Yong LeeDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8693-5792
Jae Jeong ShimDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3095-1021
Juwhan ChoiDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea. choijuwhan@naver.com.ORCID https://orcid.org/0000-0001-6536-9763
Hwan Seok YongDepartment of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea. yhwanseok@naver.com.ORCID https://orcid.org/0000-0003-0247-8932
Funding
Korea University Guro HospitalKorea University Medicine K2512541
6 · The paper itself
Abstract
This prospective cohort study evaluated ultra-low-dose computed tomography (ULDCT) as a tool for quantifying airway and parenchymal abnormalities in 24 patients with asthma. Quantitative indices included the percentage of low-attenuation area (LAA%) for emphysema, parametric response mapping for functional small airway disease (PRM
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 Socratic graph.
Airway Quantification Using Ultra-Low-Dose Computed Tomography Correlates With Pulmonary Function Indices in Patients With Asthma. · full record | Socratic