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Record W2041696057 · doi:10.1044/1058-0360(2005/005)

Does Barium Influence Tongue Behaviors During Swallowing?

2005· article· en· W2041696057 on OpenAlexaff
Catriona M. Steele, Pascal van Lieshout

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2005
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsSwallowingBolus (digestion)TongueMedicineTransit timeAudiologyDysphagiaDentistrySurgeryPathology

Abstract

fetched live from OpenAlex

The validity of videofluoroscopic swallowing assessments rests on the understanding that thin, nectar-, honey-, and spoon-thick radiopaque liquids resemble nonopaque liquids, both in their consistency and in the variations in swallowing that they elicit. Tongue movements during sequential swallows of opaque and nonopaque liquids were studied in 8 healthy participants in 2 age groups (<30 years, >50 years) using electromagnetic midsagittal articulography. Differences included smaller sip size, longer oropharyngeal transit times, and greater variability in tongue movement patterns with opaque liquids compared to nonopaque liquids, but effect sizes for these differences were small. Transit times were significantly longer for older participants than younger participants. We recommend matching radiopaque bolus size in videofluoroscopy to the patient's habitually preferred sip mass for comparator nonopaque liquids.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.363
Teacher spread0.355 · 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 source (direct Gemma or distilled Codex), 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

Citations32
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Speech-Language PathologySame topicDysphagia Assessment and ManagementFrench-language works237,207