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Record W4401632735 · doi:10.1044/2024_ajslp-22-00179

Exercise-Based Dysphagia Treatment: A Proposed Checklist

2024· article· en· W4401632735 on OpenAlexaff
Joanne Yee, Sana Smaoui, Nicole Rogus‐Pulia

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersOffice of Rural HealthGeriatric Research Education and Clinical CenterNational Institutes of HealthNational Institute on AgingUniversity of WashingtonGeorge Washington UniversityUniversity of Wisconsin-MadisonU.S. Department of Veterans Affairs
KeywordsChecklistSwallowingTransparency (behavior)DysphagiaPsychological interventionSet (abstract data type)Consistency (knowledge bases)PsychologyMedicinePhysical therapyMedical educationComputer scienceNursingCognitive psychologySurgeryArtificial intelligence

Abstract

fetched live from OpenAlex

PURPOSE: Oropharyngeal swallowing exercise-based interventions are frequently utilized to target physiologic mechanisms with the goal of improving swallowing function. However, study replicability and evidence synthesis regarding effects of interventions are limited due to inconsistent reporting on factors known to influence treatment delivery. In order to promote consistency of reporting factors associated with replicability, the authors constructed a set of preferred parameters focused on dysphagia as part of the initial version of the larger tool (Framework for RigOr aNd Transparency In REseaRch on Swallowing or FRONTIERS). METHOD: Thirty-eight initial questions were assembled by the authors as part of the treatment subsection. Questions were then reviewed by individuals in the FRONTIERS collaborative who have expertise in research, clinical practice, or both. RESULT: Twenty-four questions were removed following review, reducing the final set of treatment-focused questions to 14 questions. CONCLUSIONS: The revised set of questions provides users of the exercise-based treatment section of the FRONTIERS checklist with an initial checklist to promote transparency and rigor to improve study replicability and evidence synthesis. We intend for this treatment section of FRONTIERS to undergo further refinement following commentary and feedback.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.387
Teacher spread0.369 · 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.

Study designOther design
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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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