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Record W2755358918 · doi:10.1002/lary.26860

Perceptions of pain of laryngeal electromyography

2017· article· en· W2755358918 on OpenAlexaboutno aff
Ashley P. O’Connell Ferster, Amanda Hu

Bibliographic record

VenueThe Laryngoscope · 2017
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsnot available
FundersCollege of Medicine, Drexel University
KeywordsMedicineVisual analogue scalePhysical therapyLaryngologyMcGill Pain QuestionnaireElectromyographyAnesthesiaPhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate pain associated with laryngeal electromyography (LEMG). STUDY DESIGN: A prospective case series. METHODS: Adult patients scheduled for LEMG in a tertiary care laryngology practice were recruited between July 20, 2016, and March 1, 2017. Demographic and clinical data were extracted from the charts. Study participants reported their anticipated pain level using a visual analog scale (VAS) prior to the procedure. VAS was administered again within 10 minutes after the procedure, along with the validated McGill Pain Questionnaire, to gauge patient's pain perception after undergoing LEMG. RESULTS: Results were reviewed for 80 patients (mean age 48.2 ± 16.6 years, 37.5% male). Preprocedure VAS pain scores (4.59 ± 2.3 out of 10) were not significantly different than postprocedure VAS pain scores (4.61 ± 2.4) (P = 0.95). The McGill Pain Questionnaire reported a moderate pain level (32.1 ± 12.7 out of 78). Females anticipated a higher preprocedure VAS pain score (5.04 ± 2.3) than males (3.85 ± 2.2) (P = 0.02); however, postprocedure scores were not significantly different between genders. The following factors did not influence the pain scores: age, professional voice use, history of previous EMG, chronic pain diagnosis, psychiatric diagnosis, or current treatment with pain/psychiatric medications. All LEMGs were completed without any complications. CONCLUSION: Patients appropriately anticipated their pain levels for the LEMG, which may be attributed to proper patient education and counselling before the procedure. Overall pain levels were mild to moderate, and all LEMGs were completed; thus, LEMG was well tolerated. LEVEL OF EVIDENCE: 4. Laryngoscope, 128:896-900, 2018.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.289

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 head0.012
GPT teacher head0.288
Teacher spread0.276 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

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