Evidence map›Paper›PMID 39778923›Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2025

Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.

Daniil Lisik, Saliha Selin Özuygur Ermis, Gregorio Paolo Milani, Giulia Carla Immacolata Spolidoro, Selin Ercan, Michael Salisu, Faozyat Odetola, Daniele Giovanni Ghiglioni, Danylo Pylov, Emma Goksör and 4 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

14 authors.

Daniil LisikKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden daniil.lisik@gu.se.ORCID https://orcid.org/0000-0002-0220-5961
Saliha Selin Özuygur ErmisKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-3507-773X
Gregorio Paolo MilaniDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-3829-4254
Giulia Carla Immacolata SpolidoroDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0002-3365-1171
Selin ErcanKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-9356-3042
Michael SalisuKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0009-0001-2100-9392
Faozyat OdetolaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0009-0008-8391-2510
Daniele Giovanni GhiglioniDepartment of Maternal and Child Area - SC Pediatria Pneumoinfettivologia, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID https://orcid.org/0000-0002-7219-9173
Danylo PylovKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-9781-3267
Emma GoksörDepartment of Paediatrics, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-9595-1877
Rani BasnaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-7510-8460
Göran WennergrenKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-7010-7191
Hannu KankaanrantaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-5258-0906
Bright I NwaruWallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-2876-6089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNumerous studies have characterised trajectories of asthma and allergy in children using machine learning, but with different techniques and mixed findings. The present work aimed to summarise the evidence and critically appraise the methodology.

methods10 databases were searched. Screening, data extraction and quality assessment were performed in pairs. Trajectory characteristics were tabulated and visualised. Associated risk factor and outcome estimates were pooled using a random-effects meta-analysis.

results89 studies were included. Early-onset (infancy) persistent, mid-onset (∼2-5 years) persistent, early-onset early-resolving (within ∼2 years) and early-onset mid-resolving (by ∼3-6 years) wheezing and eczema, respectively, were the most commonly identified disease trajectories. Intermediate/transient trajectories were rare. Male sex was associated with a higher risk of most wheezing trajectories and possibly with early-resolving eczema, while being slightly protective against mid-onset persistent eczema. Parental disease/genetic markers were associated with persistent trajectories of wheezing and eczema, respectively. Prenatal (and less so postnatal) tobacco smoke exposure was associated with most wheezing trajectories, as were lower respiratory tract infections in infancy (particularly with the early-onset resolving patterns). Most studies (69%) were of low methodological quality (particularly in modelling approaches and reporting). Few studies investigated allergic multimorbidity, allergic rhinitis and food allergy.

conclusionsChildhood asthma/wheezing and eczema can be characterised by a few relatively consistent trajectories, with some actionable risk factors such as pre-/postnatal smoke exposure. Improved computational methodology is warranted to better assess generalisability and elucidate the validity of intermediate/transient trajectories. Likewise, allergic multimorbidity and trajectories of allergic rhinitis and food allergy need to be further elucidated.

Indexed as

AsthmaHypersensitivityMachine LearningAdolescentAge FactorsAge of OnsetChildChild, PreschoolDiagnosis, Computer-AssistedDisease ProgressionEczemaFemaleHumansInfantMalePredictive Value of Tests

Identifiers

PMID39778923
PMCPMC11707603

What OpenQuestion holds

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Registered trials

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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.