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Record W1792453369 · doi:10.1002/hed.23278

Risk of developing sudden sensorineural hearing loss in patients with nasopharyngeal carcinoma: A population‐based cohort study

2013· article· en· W1792453369 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHead & Neck · 2013
Typearticle
Languageen
FieldMedicine
TopicEar and Head Tumors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNasopharyngeal carcinomaMedicineHazard ratioIncidence (geometry)Confidence intervalCohortCohort studyRetrospective cohort studyInternal medicinePopulationHearing lossProportional hazards modelOncologyPediatricsSurgeryAudiologyRadiation therapyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to explore the risk of developing of sudden sensorineural hearing loss (SSHL) in patients with nasopharyngeal carcinoma (NPC). METHODS: A population-based, retrospective cohort study using the Taiwan National Health Insurance Research Database was conducted. From 2001 to 2006, 9121 patients with newly diagnosed NPC and 45,605 comparison subjects without NPC were selected. The incidence of SSHL at the end of 2009 was determined. RESULTS: The incidence of SSHL was 6.53-fold higher in the NPC group compared to the non-NPC group (p < .001). Using Cox proportional hazard regressions, the risk of developing SSHL increased with an adjusted hazard ratio (HR) of 6.747 (95% confidence interval [CI] = 5.366-8.484) in patients with NPC compared with patients without NPC. CONCLUSION: NPC was significantly associated with an increased risk of developing SSHL. The risk of developing SSHL increased over follow-up time.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.995

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 head0.018
GPT teacher head0.271
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