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Record W4406090994 · doi:10.58931/cait.2024.4373

Treatment and Management of Chronic Cough in Children

2024· article· en· W4406090994 on OpenAlexaff
Anya T. McLaren

Bibliographic record

VenueCanadian allergy & immunology today. · 2024
Typearticle
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChronic coughMedicineIntensive care medicinePediatricsInternal medicineAsthma

Abstract

fetched live from OpenAlex

Chronic cough (CC) in children is common and most often post-viral in nature. CC in children should be comprehensively evaluated and the underlying etiology treated to prevent irreversible lung damage. Refractory chronic cough (RCC) is proposed as a distinct clinical entity in children, which is defined by a persistent cough that does not resolve after comprehensive evaluation and adherence to systematic, guideline-based treatments. RCC may involve a heightened cough reflex sensitivity or altered neural regulation influenced by genetic, environmental, or immunologic factors. This review focuses on the definition, diagnostic approach, and evidence-based management of pediatric RCC, emphasizing the need for a multidisciplinary approach and highlighting research gaps for future targeted therapies.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.986

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 head0.010
GPT teacher head0.260
Teacher spread0.249 · 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 designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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