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Record W4388673078 · doi:10.46747/cfp.6911757

Referred otalgia

2023· review· en· W4388673078 on OpenAlexaffvenue
Fatemeh Ramazani, Charmaine Szalay-Anderson, Arthur Volpato Batista, Phillip Park, Euna Hwang, Justin Chau, Justin T. Lui

Bibliographic record

VenueCanadian Family Physician · 2023
Typereview
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineTriageOtorhinolaryngologyPresentation (obstetrics)Head and neckMEDLINEMalignancyIntensive care medicineSurgeryMedical emergencyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide family physicians and general otolaryngologists with a practical, evidence-based, and comprehensive approach to the management of patients presenting with suspected referred otalgia. SOURCES OF INFORMATION: . Current guidelines for the management of referred otalgia were also reviewed. MAIN MESSAGE: Otalgia is defined as pain localized to the ear. It is one of the most common head and neck presentations in primary care, otolaryngology, and emergency medicine. Secondary otalgia arises from nonotologic pathology and represents nearly 50% of otalgia cases. Otalgia in the absence of other otologic symptoms is highly indicative of a secondary cause. A thorough assessment of patients presenting with referred otalgia requires an understanding of the possible causes of this condition, including dental and oral mucosal pathologies, temporomandibular joint disorders, cervical spine pathology, sinusitis, upper airway infection, and reflux, as well as head and neck malignancy. This paper aims to highlight the most common causes of referred otalgia, their presentations, and initial options for assessment and management. CONCLUSION: The prevalence of referred otalgia makes this an important condition for family physicians to be able to assess, manage, and triage based on patient presentation and examination. Understanding the common causes of referred otalgia will help reduce wait times for specialist assessment and allow ease and speed of access to management options for patients in community clinics.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.043

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 head0.197
GPT teacher head0.437
Teacher spread0.241 · 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.

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

Citations12
Published2023
Admission routes2
Has abstractyes

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