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Record W2921258524 · doi:10.29390/cjrt-2018-014

Considerations for chest clearance and cough augmentation in severe bulbar dysfunction: a case study

2018· article· en· W2921258524 on OpenAlexvenueno aff
Jodi Allen, Ellen Louise O’Leary

Bibliographic record

VenueCanadian Journal of Respiratory Therapy · 2018
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDysphagiaChest physiotherapyAirwayIntensive care medicineExsufflationSwallowingAnesthesiaPulmonologistInsufflationSurgery

Abstract

fetched live from OpenAlex

This case study describes a 21-year-old male with congenital myotonic dystrophy referred to respiratory physiotherapy with a weak cough and upper respiratory tract secretions. Mechanical insufflation-exsufflation (MI-E) was prescribed. Post initiation, the patient described a worsening of secretions and increased attendances to hospital with suspected chest infection. He also described difficulties with speaking after use of MI-E. Multidisciplinary assessment of cough as well as bulbar and swallow function resulted in a primary diagnosis of oro-pharyngeal dysphagia as well as weak cough. An alternative prophylactic therapy programme including active cycle of breathing, chest wall percussions, and manually assisted cough, was prescribed to facilitate clearance of upper airway secretions and patient comfort. The case highlights some of the risks associated with cough augmentation techniques derived from single-discipline intervention in the neuromuscular patient population. Comprehensive multidisciplinary assessment and management were key to redefining this patient's diagnosis, allowing effective and individualised treatment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.125
GPT teacher head0.418
Teacher spread0.293 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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