Evidence map›Paper›PMID 32015785›Full record

ArticleThe World Allergy Organization journal2020

Plasma Galectin-3 and urine proteomics predict FEV

Anna Maria Riccio, Pierluigi Mauri, Laura De Ferrari, Rossana Rossi, Dario Di Silvestre, Marta Bartezaghi, Fabiana Saccheri, Giorgio Walter Canonica, PROXIMA sub-study centers

Open access · goldAbstract read
In one paragraph

Article in The World Allergy Organization journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Phenotypes and Endotypes in Asthma.Advances in experimental medicine and biology · 2023
    Article
  7. Promising treatment biomarkers in asthma.Frontiers in drug safety and regulation · 2023
    Review
  8. miR-3934 regulates the apoptosis and secretion of inflammatory cytokines of basophils via targeting RAGE in asthma.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2022
    Article
  9. Article
  10. Review
  11. Observational
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

9 authors at 4 institutions in 1 country.

Anna Maria RiccioAllergy & Respiratory Diseases Clinic, DIMI, University of Genoa, Genoa, Italy.
Pierluigi MauriInstitute Biomedical Technologies, ITB-CNR, Segrate, Italy.
Laura De FerrariAllergy & Respiratory Diseases Clinic, DIMI, University of Genoa, Genoa, Italy.
Rossana RossiInstitute Biomedical Technologies, ITB-CNR, Segrate, Italy.
Dario Di SilvestreInstitute Biomedical Technologies, ITB-CNR, Segrate, Italy.
Marta BartezaghiNovartis Farma SpA, Origgio, Italy.
Fabiana SaccheriNovartis Farma SpA, Origgio, Italy.
Giorgio Walter CanonicaDepartment of Biomedical Sciences, Personalized Medicine Clinic Asthma & Allergy,Humanitas University, IRCCS Humanitas Research Hospital, Rozzano, Italy.
PROXIMA sub-study centers
Institute of Biomedical Technologies · ITNovartis (Italy) · ITUniversity of Genoa · ITIRCCS Humanitas Research Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with severe allergic asthma (SAA) when treated with omalizumab may exhibit different extent of response. Identifying biomarkers that can predict the extent of treatment effectiveness in patients can be useful in personalizing omalizumab treatment.

methodsPatients from the longitudinal phase of the PROXIMA study were selected for this ancillary study. After 12 months of omalizumab treatment, patients were categorized according to their response to treatment as: "clinical responder" (Asthma Control Questionnaire [ACQ] total score <1 at Month 12 and/or with a reduction in number of exacerbation versus the previous year); "functional responder" (an increment of ≥0.1 L in forced expiratory volume in 1 s [FEV

resultsThe Majority of patients (86.36%) in sub-study population were identified as clinical responders. Of the total patients identified as clinical responders, 64.86% were identified as super responders

conclusionOur findings support the use of plasma GAL-3 as a predictive marker to stratify responders and identify super responders and functional responders to omalizumab treatment in patients with severe allergic asthma using less invasive sample like plasma.

Indexed as

Asthma Control Questionnaire, ACQ total scoreBiomarkersCI, confidence intervalforced expiratory volume in 1 s, FEV1GAL-3 BP, GAL-3 binding proteinGAL-3, Plasma galectin-3Galectin-3IgE, immunoglobulin EOmalizumab respondersSAA, severe allergic asthmasSevere allergic asthma

Identifiers

PMID32015785
PMCPMC6992845
OpenAlexW3001846102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.