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Record W2038406309 · doi:10.1186/1741-7015-10-115

ICU-acquired weakness: what is preventing its rehabilitation in critically ill patients?

2012· review· en· W2038406309 on OpenAlexafffund
Christie M. Lee, Eddy Fan

Bibliographic record

VenueBMC Medicine · 2012
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineIntensive care medicineCritically illIntensive care unitWeaknessMEDLINEIntensive careRehabilitationPhysical therapySurgery

Abstract

fetched live from OpenAlex

Intensive care unit-acquired weakness (ICUAW) has been recognized as an important and persistent complication in survivors of critical illness. The absence of a consistent nomenclature and diagnostic criteria for ICUAW has made research in this area challenging. Although many risk factors have been identified, the data supporting their direct association have been controversial. Presently, there is a growing body of literature supporting the utility and benefit of early mobility in reducing the morbidity from ICUAW, but few centers have adopted this into their ICU procedures. Ultimately, the implementation of such a strategy would require a shift in the knowledge and culture within the ICU, and may be facilitated by novel technology and patient care strategies. The purpose of this article is to briefly review the diagnosis, risk factors, and management of ICUAW, and to discuss some of the barriers and novel treatments to improve outcomes for our ICU survivors.

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)0.083
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.054
GPT teacher head0.362
Teacher spread0.308 · 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
GenreReview

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

Citations73
Published2012
Admission routes2
Has abstractyes

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