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Record W2187563377 · doi:10.17712/1658-3183.1746

Guillain-Barre syndrome following cardiac surgery. Difficult diagnosis in the intensive care unit

2009· article· en· W2187563377 on OpenAlexaff
Hussein Algahtani, Dwight E. Moulin, Charles F. Bolton, Ahmad Abulaban

Bibliographic record

VenueNeurosciences · 2009
Typearticle
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsPlasmapheresisMedicineCritical illness polyneuropathyIntensive care unitComplicationSepsisGuillain-Barre syndromeIntensive care medicineMyopathyRespiratory failureWeaknessAnesthesiaMechanical ventilationSurgeryPediatricsCritical illnessCritically illInternal medicine

Abstract

fetched live from OpenAlex

Weakness of limb and respiratory muscles developing in the course of treatment in the intensive care unit (ICU) is commonly due to critical illness polyneuropathy, a complication of sepsis, or critical illness myopathy, a complication of the use of neuromuscular blocking agents and steroids. Guillain-Barre syndrome may rarely occur in this setting. We report 2 patients identified in our ICU in the last 20 years. Surgery was an apparent precipitating event in both patients. The clinical, electrophysiological, and cerebrospinal fluid features were consistent with this diagnosis. Both patients responded to treatment; the first case was treated with plasmapheresis while the other with intravenous immune globulin. Thus, while rare, it is important to identify this disorder in the ICU because of its response to specific 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 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)0.000
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.280
Teacher spread0.252 · 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 designCase report
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

Citations24
Published2009
Admission routes1
Has abstractyes

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