Evidence map›Paper›PMID 39586024›Full record

ReviewAnnual review of medicine2025

Biologic Medications for Severe Asthma: Implications for Understanding Pathogenic Heterogeneity and Endotypes.

Richard P Ramonell, Marc C Gauthier, Anuradha Ray, Sally E Wenzel

Abstract readReview
In one paragraph

Review in Annual review of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. The immunology of asthma.Nature immunology · 2025
    Review
  9. Review
  10. 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

4 authors.

Richard P RamonellAsthma and Environmental Lung Health Institute at UPMC, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Marc C GauthierAsthma and Environmental Lung Health Institute at UPMC, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Anuradha RayDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; email: swenzel@pitt.edu.
Sally E WenzelDepartment of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Project 2 Impact of Innate and Adaptive Immunity At the Airway Epithelium in Severe AsthmaP01AI106684 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy B Oriss · 2015 to 2026
$18.9M
An Alternative Pathobiology underlying Severe AsthmaK08HL164887 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Marc Gauthier · 2023 to 2026
$653k
NHLBI NIH HHS K08 HL164887NIAID NIH HHS P01 AI106684
6 · The paper itself

Abstract

Asthma is a chronic inflammatory disease of the airways long known for phenotypic heterogeneity. Phenotyping studies in asthma have led to a better characterization of disease pathogenesis, yet further work is needed to pair available treatments with disease endotypes. In this review, the biology of targeted pathways is discussed along with the efficacy of biologic therapies targeting those pathways. Results of asthma clinical trials are included, as well as results of trials in related diseases. This review then analyzes how biologics help to inform the complex immunobiology of asthma and further guide their use while identifying areas for future research.

Indexed as

Anti-Asthmatic AgentsAsthmaBiological ProductsAntibodies, Monoclonal, HumanizedHumansPhenotypeSeverity of Illness IndexAnti-Asthmatic AgentsAntibodies, Monoclonal, HumanizedBiological Productsbiologic therapycytokinesendotypeseosinophilsmolecular phenotypessevere asthma

Identifiers

PMID39586024
PMCPMC12830064

What OpenQuestion holds

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Registered trials

None linked

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.