ArticleERJ open research2024
Two is better than one: the double diffusion technique in classifying heart failure.
Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhanced detection of patients with previous COVID-19: superiority of the double diffusion technique.BMJ open respiratory research · 2025Pooled it
- The Role of DLNO in the Functional Assessment of Patients with Idiopathic Pulmonary Fibrosis.Medicina (Kaunas, Lithuania) · 2026Observational
- Emphysema Detection in Smokers: Diffusing Capacity for Nitric Oxide Beats Diffusing Capacity of Carbon Monoxide-Based Models.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2025Article
- Pulmonary diffusing capacity and dyspnoea following COVID-19: Insights from multicentre datasets.Data in brief · 2025Article
- Reference equations for DLNO and DLCO in Mexican Hispanics: influence of altitude and race.BMJ open respiratory research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Heart failure (HF) is a chronic condition in which the heart does not pump enough blood to meet the body's demands. Diffusing capacity of the lung for nitric oxide ( Methods: This was a retrospective secondary data analysis in 140 New York Heart Association Class II HF patients (ejection fraction <40%) and 50 patients without HF. z-scores for Results: The top two of 12 models were combined z-score models. The highest MCC (0.51) was from combined z-score models. At most, only 32% of the variance in the odds of having HF was explained by combined z-scores. Conclusions: Combined z-scores explained 32% of the variation in the likelihood of an individual having HF, which was higher than models using
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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.