Evidence map›Paper›PMID 40458738›Full record

ArticleThe World Allergy Organization journal2025

Role of body anthropometry in severe asthmatic patients: Evidences from the Severe Asthma Network in Italy (SANI) registry.

Erminia Ridolo, Martina Ottoni, Francesca Nicoletta, Francesca Locatelli, Luigi Martinelli, Matteo Maule, Naila Arif Cheema, Francesco Blasi, Pierluigi Paggiaro, Enrico Heffler and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in The World Allergy Organization journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06625216 (Observatory of Patients With Severe Asthma and Potential Eligible Patients for Treatment With Biological Drugs), 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.

NCT06625216 recruitingnot on this map

Observatory of Patients With Severe Asthma and Potential Eligible Patients for Treatment With Biological Drugs

TypeobservationalSponsorSocietà Italiana di Allergologia, Asma e Immunologia ClinicaRan2017 to 2037Enrolled5,000ConditionsSevere Asthma
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

15 authors.

Erminia RidoloDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Martina OttoniDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Francesca NicolettaDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Francesca LocatelliUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Luigi MartinelliUnit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Matteo MauleAllergy Unit and Asthma Center, Integrated Verona University Hospital, Verona, Italy.
Naila Arif CheemaDepartment of Medicine, University of Verona, Verona, Italy.
Francesco BlasiDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
Pierluigi PaggiaroDepartment of Surgery, Medicine, Molecular Biology and Critical Care, University of Pisa, Pisa, Italy.
Enrico HefflerDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Luisa BrussinoS.C.D.U. Immunologia e Allergologia, A.O. Ordine Mauriziano Torino, Italy.
Giorgio Walter CanonicaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Gianenrico SennaAllergy Unit and Asthma Center, Integrated Verona University Hospital, Verona, Italy.
Marco CaminatiAllergy Unit and Asthma Center, Integrated Verona University Hospital, Verona, Italy.
SANI network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma and obesity are both chronic diseases. Obesity is a common comorbidity and a risk factor of severe asthma, associated with increased asthma exacerbation risk, poorer asthma control and reduced quality of life. However, the responsible mechanisms are poorly understood. The aim of this study was to detect parameters associated with obesity in patients with severe asthma in order to check different pattern of inflammation in obese asthmatics. Baseline data from the Severe Asthma Network in Italy (SANI) registry were analysed in 1922 patients with severe asthma. Demographic, clinical and functional features were compared, according to body mass index (BMI). The prevalence of overweight and obesity among severe asthma patients was 34,8 and 20,3, respectively. Females were more prevalent in the obese cluster (p < 0.001). Asthma onset age in overweight and obese patients was higher than in normal population (p < 0.001). Obese subjects reported less frequently chronic rhinosinusitis with nasal polyposis (CRSwNP) and more frequently impaired sleep quality, cardiovascular disease, and type-2 diabetes (p < 0.001). Severe asthma patients with obesity had lower predicted FVC values (89.0 ± 19.2 vs 93.5 ± 20.2; p 0.002) and higher FEV1/FVC ratio (69.9 ± 11.5 vs 66.9 ± 12.4; p < 0.001) than patients without obesity. Obese asthmatics had lower blood eosinophilic count, and fractional exhaled nitric oxide (FeNO) levels than non-obese asthmatics. Asthma control test (ACT) was significantly poorer in obese patients (17, IQR 12-21) than other subgroups. Regarding treatment, overweight and obese patients were more likely to receive a GINA-Step 5 therapy (p 0.023), with more than 20 of obese asthmatics having frequent exacerbations requiring oral corticosteroid (OCS). Patients with severe asthma and obesity presented different characteristics that support the existence of distinct asthma phenotype in obese patients. Trial registration: Trial registry: ClinicalTrials.gov. ID: NCT06625216. Retrospectively registered October 3, 2024.

Indexed as

AsthmaBMILung functionObesity

Identifiers

PMID40458738
PMCPMC12127536

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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.