Evidence map›Paper›PMID 31678077›Full record

ReviewChest2020

Recent Advances in Severe Asthma: From Phenotypes to Personalized Medicine.

Nathan Schoettler, Mary E Strek

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07331662 (Comparative Effects of Intercostal and Thoracic Cage Stretching on Chest Expansion, Dyspnea, Oxygen Saturation in Asthma Patients), which is not on this map. Cited by 99 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 3 pooled it
7.4field-weighted citation impact, top 2% of its field
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.

NCT07331662 nacompletednot on this mapstarted 2025, after this paper: background citation

Comparative Effects of Intercostal and Thoracic Cage Stretching on Chest Expansion, Dyspnea, Oxygen Saturation in Asthma Patients

TypeinterventionalSponsorRiphah International UniversityRan2025 to 2025Enrolled56ConditionsAsthma, Asthma (Diagnosis)Armsthoracic cage stretching, intercostal stretching
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 3 syntheses or guidelines pooled it, 174 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

39 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Nathan SchoettlerDepartment of Medicine, Section of Pulmonary and Critical Care, University of Chicago, Chicago, IL. Electronic address: nschoett@uchicago.edu.
Mary E StrekDepartment of Medicine, Section of Pulmonary and Critical Care, University of Chicago, Chicago, IL.
University of Chicago · US

Funding

RESEARCH TRAINING IN RESPIRATORY BIOLOGYT32HL007605 · NHLBI · UNIVERSITY OF CHICAGO · PI Yun Fang, Gokhan M. Mutlu · 1985 to 2026
$18.1M
NHLBI NIH HHS T32 HL007605
6 · The paper itself

Abstract

This review focuses on recent clinical and translational discoveries in severe and uncontrolled asthma that now enable phenotyping and personalized therapies in these patients. Although asthma is common in both children and adults and typically responds to standard therapies, a subset of individuals with asthma experience severe and/or persistent symptoms despite appropriate therapies. Airflow obstruction leading to frequent symptoms requiring higher levels of controller therapy is the cardinal feature of severe asthma, but the underlying molecular mechanisms, or endotypes, are diverse and variable between individuals. Two major risk factors that contribute to severe asthma are genetics and environmental exposures that modulate immune responses, and although these often interact in complex manners that are not fully understood, certain endotypes converge in severe asthma. A number of studies have evaluated various features of patients with severe asthma and classified patients into phenotypes with clinical relevance. This phenotyping is now incorporated into clinical practice and can be used to guide advanced biological therapies that target specific molecules and inflammatory pathways that contribute to asthma pathogenesis.

Indexed as

Bronchial ThermoplastyPrecision MedicineAnti-Asthmatic AgentsAsthmaBiological ProductsEnvironmental ExposureGenetic Predisposition to DiseaseHumansPhenotypeRisk FactorsSeverity of Illness IndexAnti-Asthmatic AgentsBiological Productsasthmaendotypephenotypesevere asthma

Identifiers

PMID31678077
PMCPMC7609962
OpenAlexW2982423492

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.