Evidence map›Paper›PMID 35967579›Full record

ReviewFrontiers in pediatrics2022

Do not forget asthma comorbidities in pediatric severe asthma!

Lucia Ronco, Anna Folino, Manuela Goia, Benedetta Crida, Irene Esposito, Elisabetta Bignamini

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2022. 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
0.8field-weighted citation impact, top 28% 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, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  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

6 authors at 2 institutions in 1 country.

Lucia RoncoDepartment of Pediatric Science, School of Medicine, University of Turin, Turin, Italy.
Anna FolinoDepartment of Surgical Science, University of Turin, Turin, Italy.
Manuela GoiaPediatric Pulmonology Unit, Regina Margherita Children Hospital, AOU Cittá Della Salute e Della Scienza, Turin, Italy.
Benedetta CridaPediatric Pulmonology Unit, Regina Margherita Children Hospital, AOU Cittá Della Salute e Della Scienza, Turin, Italy.
Irene EspositoPediatric Pulmonology Unit, Regina Margherita Children Hospital, AOU Cittá Della Salute e Della Scienza, Turin, Italy.
Elisabetta BignaminiPediatric Pulmonology Unit, Regina Margherita Children Hospital, AOU Cittá Della Salute e Della Scienza, Turin, Italy.
Ospedale Regina Margherita · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is the most common chronic respiratory disease in childhood. The long-term goals in managing asthma aim to control symptoms and prevent exacerbations, as well as to reduce side effects of therapy and mortality disease-related. Most of patients have mild to moderate asthma and respond well to standard therapies. However, a minor proportion of children with asthma has severe disease that remains uncontrolled despite optimal adherence to prescribed therapy and treatment of contributory factors, including trigger exposures and comorbidities, which can mimic or worsen asthma and contribute to exacerbations and poor quality of life. Evaluation of comorbidities is fundamental to optimize the management of the disease in a subgroup of patients with poor responder asthma. The overall aim of this article is to describe characteristics of main pediatric severe asthma comorbidities reported in literature, giving clinicians tools to recognize and manage properly these conditions.

Indexed as

asthmachildrencomorbiditiesdifficult to treat asthmasevere asthma

Identifiers

PMID35967579
PMCPMC9372496
OpenAlexW4288489471

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.