Evidence map›Paper›PMID 41330485›Full record

ReviewCurrent opinion in allergy and clinical immunology2026

Modifying the course of asthma: mechanisms and strategies for clinical remission.

Benedetta Bondi, Diego Bagnasco, Fulvio Braido

Abstract readReview
In one paragraph

Review in Current opinion in allergy and clinical immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

3 authors.

Benedetta BondiRespiratory and Allergy Clinic, IRCCS Ospedale Policlinico San Martino.
Diego BagnascoRespiratory and Allergy Clinic, IRCCS Ospedale Policlinico San Martino.
Fulvio BraidoRespiratory and Allergy Clinic, IRCCS Ospedale Policlinico San Martino.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAsthma management is ongoing a paradigm shift from symptom control and exacerbation prevention toward the more comprehensive goal of clinical remission. This review is timely because biologic therapies, precision medicine, and improved understanding of immunopathological mechanisms have made remission a realistic therapeutic goal. By integrating clinical, functional, and biological outcomes, remission offers a more comprehensive framework for assessing long-term disease control. RECENT

findingsRecent evidence demonstrate that biologic drugs, such as Mepolizumab, Omalizumab, Dupilumab, Benralizumab, and Tezepelumab, allow clinical remission to be achieved in many patients affected by severe asthma particularly those who show a phenotyping polarized toward T2-High. Lifestyle change, particularly weight loss and smoking cessation, early intervention, and the use of allergen immunotherapy may increase the chances of achieving remission. Real-world data confirm that remission rates vary depending on the definition applied, going from clinical to complete remission, highlighting the lack of a universally shared definition of remission and the need for standardized criteria. SUMMARY: Clinical remission in asthma is now a feasible target. Achieving this goal requires a multidimensional approach that integrates biologics, early treatment, comorbidity management, and lifestyle interventions. Standardized definitions and biomarkers are essential to guide therapeutic decisions and predict long-term outcomes.

Indexed as

Anti-Asthmatic AgentsAsthmaBiological ProductsDesensitization, ImmunologicBiomarkersHumansPrecision MedicineRemission InductionAnti-Asthmatic AgentsBiological ProductsBiomarkersasthmabiologicsclinical remissionprecision medicinesevere asthma

Identifiers

PMID41330485
PMCPMC12911486

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Registered trials

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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.