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Record W3125457522 · doi:10.1111/scd.12566

The dental management of the asthmatic patients

2021· review· en· W3125457522 on OpenAlexaff
Ehsan Baghani, Aviv Ouanounou

Bibliographic record

VenueSpecial Care in Dentistry · 2021
Typereview
Languageen
FieldMedicine
TopicRespiratory and Cough-Related Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineAsthmaIntensive care medicineEtiologyIntervention (counseling)Airway obstructionAdverse effectOral healthAsthma managementDental careAirwayDentistrySurgeryNursingInternal medicine

Abstract

fetched live from OpenAlex

Asthma is the most common chronic respiratory condition characterized by airway inflammation and obstruction. Our increased knowledge and understanding of the etiology and pathogenesis of this condition has widely assisted us in delivering effective therapies. Physicians strive to provide the best treatment modality to achieve symptom-control and minimize the adverse effects of medication use. Nonetheless, patients continue to endure oral complications from the use of asthma medications. As dentists, it is prudent to address these oral complications and promote the oral health of these patients by way of early preventive and therapeutic dental intervention. This must be accomplished by adhering to certain precautionary measures for the sake of avoiding intraoperative problems while optimizing oral care. In this article, we discuss the diagnosis, oral findings, dental care, and emergency management of the asthmatic patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.367
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2021
Admission routes1
Has abstractyes

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