Evidence map›Paper›PMID 29464664›Full record

ReviewDrugs2018

Benralizumab: First Global Approval.

A Markham

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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
  4. Article
  5. Article
  6. Article
  7. Targeted GATA3 knockdown in activated T cells via pulmonary siRNA delivery as novel therapy for allergic asthma.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Article
  8. Review
  9. Eosinophilic Otitis Media: Modern Aspects of Pathogenesis, Clinical Features, Diagnosis and Treatment.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Targeting IL-5 in COPD.International journal of chronic obstructive pulmonary disease · 2019
    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

1 author.

A MarkhamSpringer, Private Bag 65901, Mairangi Bay, Auckland, 0754, New Zealand. dru@adis.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kyowa Hakko Kirin, AstraZeneca and subsidiaries are developing benralizumab (Fasenra™)-a humanised anti-interleukin-5 receptor alpha chain (IL-5Rα) monoclonal antibody-as a treatment of severe eosinophilic asthma and chronic obstructive pulmonary disease (COPD). Eosinophilia is a characteristic of certain asthma and COPD phenotypes and depletion of eosinophils has demonstrated therapeutic benefit. Benralizumab was recently approved by the US FDA as add-on maintenance therapy for patients with severe asthma who have an eosinophilic phenotype. This article summarizes the milestones in the development of benralizumab leading to this first approval for the treatment of severe eosinophilic asthma.

Indexed as

Administration, InhalationAnti-Asthmatic AgentsAntibodies, Monoclonal, HumanizedAsthmaDrug ApprovalHumansInterleukin-5 Receptor alpha SubunitMalePulmonary Disease, Chronic ObstructivePulmonary EosinophiliaTreatment OutcomeUnited StatesUnited States Food and Drug AdministrationAnti-Asthmatic AgentsAntibodies, Monoclonal, HumanizedbenralizumabInterleukin-5 Receptor alpha Subunit

Identifiers

What OpenQuestion holds

Textmetadata
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.