Evidence map›Paper›PMID 20462794›Full record

ReviewCurrent opinion in pharmacology2010

Pharmacotherapy of severe asthma.

Rafael Firszt, Monica Kraft

Abstract readReview
In one paragraph

Review in Current opinion in pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% 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.

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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. A NovelJournal of infectious pulmonary diseases · 2017
    Article
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

Rafael FirsztDepartment of Pediatrics, Division of Allergy and Immunology, Duke University Medical Center, Durham, NC, USA.
Monica Kraft
Duke Medical Center · US

Funding

Role of Surfactant Proteins in Mediating Noninfectious Inflammatory and FibroproP01HL108793 · NHLBI · DUKE UNIVERSITY · PI BELPERIO, JOHN A · 2012 to 2022
$21.3M
Surfactant Protein-A Regulation of Innate Immunityin AsthmaP01AI081672 · NIAID · DUKE UNIVERSITY · PI SUNDY, JOHN S · 2009 to 2013
$7.4M
NHLBI NIH HHS P01 HL108793NIAID NIH HHS P01 AI081672
6 · The paper itself

Abstract

Severe asthma is a complex and heterogeneous phenotype where management can be challenging. While many patients with severe asthma respond to high-dose inhaled corticosteroids in combination with a long-acting beta-agonist, there remains a significant subset of patients that require oral corticosteroids to control symptoms. Alternative therapies are needed to help reduce the need for continuous oral corticosteroids; however, there are currently very few effective options. Several new alternatives to oral corticosteroids have been evaluated in severe asthma as add-on to conventional therapy. These include macrolide antibiotics, omalizumab, tumor necrosis factor-alpha inhibitors, cytokine receptor antagonists, and bronchial thermoplasty. The challenge with these entities is determining the appropriate phenotype of severe asthma where effectiveness is demonstrated, given the significant heterogeneity of the disease. Therefore, there is a crucial need to better understand the mechanisms and pathophysiology of severe asthma so more effective immunomodulators and biologic therapies can emerge.

Indexed as

Administration, InhalationAdrenergic beta-AgonistsAnti-Asthmatic AgentsAsthmaDrug Therapy, CombinationGlucocorticoidsHumansImmunologic FactorsPhenotypeSeverity of Illness IndexAdrenergic beta-AgonistsAnti-Asthmatic AgentsGlucocorticoidsImmunologic Factors

Identifiers

PMID20462794
PMCPMC4390052
OpenAlexW1977910789

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.