Evidence map›Paper›PMID 35756113›Full record

ArticleHeliyon2022

A systematic review and integrated analysis of biologics that target Type 2 inflammation to treat COPD with increased peripheral blood eosinophils.

Hiroshi Ohnishi, Masamitsu Eitoku, Akihito Yokoyama

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Efficacy of Biologics in Patients with Moderate to Very Severe COPD: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2026
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

3 authors at 1 institution in 1 country.

Hiroshi OhnishiDepartment of Respiratory Medicine and Allergology, Oko-cho, Kohasu, Nankoku, Kochi, 780-8505, Japan.
Masamitsu EitokuDepartment of Environmental Medicine, Kochi Medical School, Kochi University, Oko-cho, Kohasu, Nankoku, Kochi, 780-8505, Japan.
Akihito YokoyamaDepartment of Respiratory Medicine and Allergology, Oko-cho, Kohasu, Nankoku, Kochi, 780-8505, Japan.
Kōchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Biologics that target Type 2 inflammation are effective in reducing exacerbations of severe asthma. We conducted a systematic review and integrated analysis of the efficacy and safety of these biologics in chronic obstructive pulmonary disease (COPD) patients with increased peripheral blood eosinophils. Methods: Clinical trials of biologics that target Type 2 inflammation in COPD were found using PubMed, the Cochrane Library, and ClinicalTrials.gov. We analyzed the clinical efficacy of anti-IL-5-targeted therapy at approved (benralizumab 30 mg, mepolizumab 100 mg, for severe asthma) and high (benralizumab 100 mg, mepolizumab 300 mg) doses. Results: Approved benralizumab and mepolizumab doses tended to reduce moderate-to-severe exacerbations by 9% [risk ratio (RR) 0.91, 95% confidence interval (CI) [0.83, 1.00], Conclusions: Benralizumab and mepolizumab have limited efficacy in reducing moderate-to-severe exacerbations in COPD patients with increased peripheral blood eosinophils and requires at least high doses.

Indexed as

BenralizumabChronic obstructive pulmonary diseaseEosinophilExacerbationMepolizumab

Identifiers

PMID35756113
PMCPMC9218150
OpenAlexW4282983649

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.