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Record W2594112886 · doi:10.1002/lary.26527

Silent sinus syndrome after facial trauma: A case report and literature review

2017· review· en· W2594112886 on OpenAlexaff
Rakhna Araslanova, Larry H. Allen, Brian Rotenberg, Leigh J. Sowerby

Bibliographic record

VenueThe Laryngoscope · 2017
Typereview
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsWestern University
Fundersnot available
KeywordsSSS*MedicineFacial traumaEnophthalmosSinus (botany)SurgeryAntecedent (behavioral psychology)Presentation (obstetrics)Internal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The accepted definition of silent sinus syndrome (SSS) excludes posttraumatic cases. To challenge current exclusion criteria of antecedent facial trauma, we have identified all published cases of posttraumatic SSS in English literature, including a new representative case from our institution. DATA SOURCES: MEDLINE, EMBASE, and Scopus databases. REVIEW METHODS: All case reports and case series published in English literature from 1964 through August 2016 were sequentially identified. Authors of cases with missing information were contacted for completion. RESULTS: Thirteen documented cases of posttraumatic SSS were identified through the literature review. An additional case from our institution was presented, bringing the total reported case count to 14. Time from initial trauma to presentation ranged from 2 months to 32 years, with a median duration of 6 months. Endoscopic sinus surgery (ESS) with either concurrent or staged orbital floor implant repair was used to treat posttraumatic SSS in 64% of reported cases. Three patients had ESS alone, with one case showing postoperative improvement in enophthalmos. CONCLUSION: Recent emergence of case reports of SSS postorbital and facial trauma challenge the current exclusion criteria of precedent facial trauma. Posttraumatic SSS is rare, but the availability of cross-sectional imaging pre- and postdevelopment of SSS makes a strong case for a causal relationship. Laryngoscope, 127:1520-1524, 2017.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.060
GPT teacher head0.377
Teacher spread0.317 · 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 designCase report
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

Citations14
Published2017
Admission routes1
Has abstractyes

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