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Record W2093495796 · doi:10.1155/2013/912628

Retropharyngeal Calcific Tendinitis Mimicking a Retropharyngeal Phlegmon

2013· article· en· W2093495796 on OpenAlexaff
Nathalie Gabra, Manon Bélair, Tareck Ayad

Bibliographic record

VenueCase Reports in Otolaryngology · 2013
Typearticle
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsHôpital Notre-DameUniversité de Montréal
Fundersnot available
KeywordsPhlegmonCalcific tendinitisMedicineSurgeryRotator cuff

Abstract

fetched live from OpenAlex

Background. Acute retropharyngeal tendinitis is a little known but not an uncommon condition. It was first described by Hartley in 1964 as an inflammation of the longus colli muscle secondary to calcium crystals deposition on its insertion. The calcifications are mostly located on the oblique portion of the muscle at the level of C1-C2. Methods. We will describe this disease through 4 cases that presented in our institution. Results. The most common symptoms are severe neck pain, odynophagia, and a painful restriction of neck movement. It is associated with mild fever and inflammatory lab findings such as a slight elevation of white blood cell count, erythrocyte sedimentation rate, and C-reactive protein. CT scan is recommended as the first-line imaging modality to establish a diagnosis. Treatments consist of NSAIDs and analgesics to accelerate the healing process. If symptoms are severe, a course of corticosteroids is required. Conclusion. Since the clinical and laboratory findings of this condition and those of a retropharyngeal abscess overlap, it is important to establish the right diagnosis in order to prevent more invasive procedures. A good knowledge of this clinical entity by otolaryngologists would prevent delays in hospital discharge and unnecessary anxiety.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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 designCase report
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

Citations16
Published2013
Admission routes1
Has abstractyes

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