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Record W2031887994 · doi:10.1016/s0194-5998(00)70141-0

Communication after laryngectomy: An assessment of quality of life

2000· article· en· W2031887994 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

VenueOtolaryngology · 2000
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsLaryngectomyEsophageal speechAudiologyQuality of life (healthcare)MedicinePsychologyQuality (philosophy)SurgeryLarynxNursing

Abstract

fetched live from OpenAlex

The purpose of this study was to examine quality of life in laryngectomees using different methods of communication. A survey was mailed to all the living laryngectomees in Nova Scotia. Patients were asked to rate their ability to communicate in a number of common situations, to rate their difficulty with several communication problems, and to complete the EORTC QLQ-C30 quality-of-life assessment tool. Sixty-two patients responded (return rate of 84%); 57% were using electrolaryngeal speech, 19% esophageal speech, and 8.5% tracheoesophageal speech. These groups were comparable with respect to age, sex, first language, education level, and years since laryngectomy. There were very few differences between these groups in ability to communicate in social situations and no difference in overall quality of life as measured by these scales. The most commonly cited problem was difficulty being heard in a noisy environment. Despite the fact that tracheoesophageal speech is objectively most intelligible, there does not seem to be a measurable improvement in quality of life or ability to communicate in everyday situations over electrolaryngeal or esophageal speakers.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.998

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)0.0030.000

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 head0.025
GPT teacher head0.370
Teacher spread0.346 · 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