Evidence map›Paper›PMID 34484229›Full record

SynthesisFrontiers in immunology2021

Achieving Precision Medicine in Allergic Disease: Progress and Challenges.

Steven P Proper, Nurit P Azouz, Tesfaye B Mersha

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Prediction of pediatric peanut oral food challenge outcomes using machine learning.The journal of allergy and clinical immunology. Global · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. [Research progress on long-term developmental outcomes of offspring of pregnant women with systemic lupus erythematosus].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  14. AIMedGraph: a comprehensive multi-relational knowledge graph for precision medicine.Database : the journal of biological databases and curation · 2023
    Article
  15. Article
  16. Review
  17. Allergy, Anaphylaxis, and Nonallergic Hypersensitivity: IgE, Mast Cells, and Beyond.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
  18. Article
  19. Review
  20. 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.

Steven P ProperDivision of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Nurit P AzouzDivision of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Tesfaye B MershaDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Cincinnati Children's Hospital Medical Center · US

Funding

Molecular Epidemiology in Children's Environmental Health Training Program (MECEH)T32ES010957 · NIEHS · UNIVERSITY OF CINCINNATI · PI Kelly J Brunst · 2001 to 2026
$11.1M
Unraveling ancestry and environmental exposure interactions in childhood asthmaR01HL132344 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2016 to 2020
$3.4M
NHLBI NIH HHS R01 HL132344NIEHS NIH HHS T32 ES010957
6 · The paper itself

Abstract

Allergic diseases (atopic dermatitis, food allergy, eosinophilic esophagitis, asthma and allergic rhinitis), perhaps more than many other traditionally grouped disorders, share several overlapping inflammatory pathways and risk factors, though we are still beginning to understand how the relevant patient and environmental factors uniquely shape each disease. Precision medicine is the concept of applying multiple levels of patient-specific data to tailor diagnoses and available treatments to the individual; ideally, a patient receives the right intervention at the right time, in order to maximize effectiveness but minimize morbidity, mortality and cost. While precision medicine in allergy is in its infancy, the recent success of biologics, development of tools focused on large data set integration and improved sampling methods are encouraging and demonstrates the utility of refining our understanding of allergic endotypes to improve therapies. Some of the biggest challenges to achieving precision medicine in allergy are characterizing allergic endotypes, understanding allergic multimorbidity relationships, contextualizing the impact of environmental exposures (the "exposome") and ancestry/genetic risks, achieving actionable multi-omics integration, and using this information to develop adequately powered patient cohorts and refined clinical trials. In this paper, we highlight several recently developed tools and methods showing promise to realize the aspirational potential of precision medicine in allergic disease. We also outline current challenges, including exposome sampling and building the "knowledge network" with multi-omics integration.

Indexed as

Precision MedicineAllergensAnimalsBiomarkersComputational BiologyDiagnosis, DifferentialDisease ManagementDisease SusceptibilityGenomicsHumansHypersensitivityMachine LearningPhenotypeProteomicsAllergensBiomarkersallergic diseaseatopic marchendotypesexposomeimmunophenotypingmachine learningomicsprecision medicine

Identifiers

PMID34484229
PMCPMC8416451
OpenAlexW3193989386

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.