ReviewOpen respiratory archives
[Asthma].
Review in Open respiratory archives. 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a chronic inflammatory disease that affects about 5% of the world's population and generates high health and social costs. Proper management of the disease requires a correct diagnosis, based on objective measures of functional impairment, as well as symptom control and assessment of the future risk of exacerbations.It has been estimated that 18% of asthma patients in Western Europe have severe asthma and approximately 50% of them have poor control. The severity of asthma is established based on the minimum maintenance treatment needs to achieve control. Asthma clinical practice guidelines recommend classifying severe patients into allergic asthma (T2); eosinophilic asthma (T2) and non-T2 asthma in order to establish the most appropriate treatment.In recent decades, new biological therapies have been developed that can be applied according to the phenotype and endotype of asthma, allowing for selective and personalized treatment. These phenotypes and endotypes can change over time and therefore, the identification of biomarkers capable of predicting the severity, the course of the disease and the response to a given treatment seems essential. A large number of biomarkers have been studied in asthma, but so far only a few can be readily used in routine clinical practice. The application of omics technologies (epigenomics, genomics, transcriptomics, proteomics, metabolomics, lipidomics, etc.) for this purpose is still in the research phase.
Indexed as
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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.