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Record W2070858187 · doi:10.1017/s0317167100004790

BiPAP in Early Guillain-Barré Syndrome May Fail

2006· article· en· W2070858187 on OpenAlexvenueno aff
Eelco F. M. Wijdicks, Tuhin K. Roy

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2006
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsGuillain-Barre syndromeMedicineAmyotrophic lateral sclerosisMyasthenia gravisMechanical ventilationIntubationNeuromuscular diseaseRespiratory failureVentilation (architecture)AnesthesiaPositive airway pressureDiseasePediatricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Non-invasive mechanical ventilation (BiPAP) has been introduced for use in neuromuscular respiratory disease such as amyotrophic lateral sclerosis and myasthenia gravis. There is no experience in Guillain-Barré syndrome. METHODS: We describe for the first time the use of BiPAP to assist in the work of breathing in two consecutive patients with progressing Guillain-Barré syndrome (GBS) and marginal pulmonary function. RESULTS: Our initial attempts to use BiPAP in GBS and early neuromuscular respiratory failure were totally unsuccessful. There was marked initial improvement; however, emergency intubation was needed in both patients, one of which became acutely cyanotic. CONCLUSIONS: Until more experience is available, we strongly warn against using BiPAP in deteriorating patients with GBS.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.264
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

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

Citations44
Published2006
Admission routes1
Has abstractyes

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