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Record W4400413915 · doi:10.15690/pf.v21i3.2757

Cognitive, Emotional, and Behavioral Disorders in Children with Respiratory Allergic Diseases: Causes and Solutions

2024· article· en· W4400413915 on OpenAlexaff
Natalia V. Ustinova, George A. Karkashadze, Leyla S. Namazova-Baranova

Bibliographic record

VenueПедиатрическая фармакология · 2024
Typearticle
Languageen
FieldMedicine
TopicHuman Health and Disease
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsAnxietyCognitionDepression (economics)MedicinePathologicalClinical psychologyImmediacyPsychiatryAutismPsychological interventionPsychologyPathology

Abstract

fetched live from OpenAlex

The publication is devoted to the review of accumulated data on the relationship of respiratory allergopathology with neuropsychiatric disorders in childhood. The immediacy of the problem is due to the mutual influence of allergic and neuropsychiatric conditions combined in a child on the course of these diseases. According to research, the connection of respiratory allergic diseases with disorders of neurodevelopment, in particular with attention deficit and hyperactivity disorder and autism spectrum disorders, is clearly manifested, and the first publications on the connection with speech and other mild cognitive impairments have appeared. At the same time, the formation of depression, suicidal behavior, and anxiety disorders in respiratory allergopathology is being actively studied. It is assumed that the close relationship between nervous and immune regulation provides a high correlation of allergic and neuropsychiatric pathological conditions, although cause-and-effect relationships have not yet been precisely established. In this regard, it becomes relevant to introduce into clinical practice monitoring of cognitive status, neuropsychic development and possible symptoms of anxiety, depression and suicidal thoughts in the treatment of children with respiratory allergic diseases. Timely detection of violations will make it possible to provide specialized interventions at an early stage in order to achieve a favorable treatment result in the long term.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.339
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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