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Record W2110382018 · doi:10.1002/lary.23538

Computed tomography has low yield in the evaluation of idiopathic unilateral true vocal fold paresis

2012· article· en· W2110382018 on OpenAlex
Pedro Badía, Alexander T. Hillel, Manish D. Shah, Michael M. Johns, Adam M. Klein

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

VenueThe Laryngoscope · 2012
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsNorth York General Hospital
Fundersnot available
KeywordsMedicineParesisRadiologyComputed tomographyOccultRetrospective cohort studyLaryngoscopyLarynxVocal cord paralysisSurgeryParalysisIntubationPathology

Abstract

fetched live from OpenAlex

OBJECTIVE/HYPOTHESIS: To determine the clinical yield of neck and chest computed tomography in the initial assessment of patients with idiopathic unilateral true vocal fold paresis. STUDY DESIGN: Retrospective chart review. METHODS: A retrospective chart review of consecutive adult patients with idiopathic unilateral true vocal fold paresis diagnosed by stroboscopy in a tertiary-care voice center from 2003 to 2010. RESULTS: There were 176 patients with unilateral vocal fold paresis of which 81 subjects had idiopathic unilateral true vocal fold paresis. Of these, 60 patients (74.1%) had a computed tomography workup. Fifty-nine patients (98.3%) had a normal computed tomography while one patient had a single mediastinal lymph node that was PET-CT negative. This demonstrates an initial 1.7% yield and ultimate 0% yield of the computed tomography workup. CONCLUSION: Our results suggest that computed tomography workup has a low yield for occult neck and mediastinal pathology in patients with idiopathic unilateral true vocal fold paresis. Chest and neck computed tomography may not be clinically beneficial provided the patient has good otolaryngologic and medical follow-up.

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)0.003
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 score0.112
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.075
GPT teacher head0.310
Teacher spread0.236 · 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