ArticleBreathe (Sheffield, England)2024
Integration of lung function data: turning snapshots into stories.
Article in Breathe (Sheffield, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Reply to Cooper and Stanojevic: 'Is lung function in a race against time?'Experimental physiology · 2026Article
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
Missing or inaccessible lung function measurements, gathered over time, have the potential to stagnate or impair clinical care decisions being made. This jeopardises patient safety and often contributes to excessive resource utilisation. Data integration is fundamental to clinical decision-making and entails amalgamating lung function data from multiple sources in a user-friendly format. Despite this, current systems for recording lung function data are suboptimal, with copious gaps in the clinical picture arising from missing or inaccessible lung function measurements. This article discusses the importance of data integration for lung function, with a call to action for key stakeholders involved in the performance, management and interpretation of such tests.
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.