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Record W7018644981

EFICACIA DE LA MOVILIZACIÓN TEMPRANA EN PACIENTES DE UNIDADES DE CUIDADOS INTENSIVOS

2017· dissertation· es· W7018644981 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2017
Typedissertation
Languagees
FieldHealth Professions
TopicNursing care and research
Canadian institutionsnot available
Fundersnot available
KeywordsIntensive careIntensive care unitMechanical ventilationMEDLINESeptic shock
DOInot available

Abstract

fetched live from OpenAlex

Objective:To analyze and systematize the efficacy of early mobilization in intensive care unit patients.Material and Method: This is a Systematic Review consisting of 10 full-text research articles describing the results of its application in the early mobilization of the hospitalized patient in intensive care units, as well as the benefits that this entails, the selected articles Were subjected to a critical reading, using the Grade evaluation to identify their degree of evidence.Sixty percent (06) of the investigations found correspond to systematic reviews, with Brazil being 20%, EE.UU, Canada, France and Australia with 10% each; And 40% (4) correspond to quantitative scientific articles from Colombia, France, Brazil and Switzerland.Results: 90% (9) of the total of articles reviewed (10), indicated that early mobilization is effective and has beneficial effects for the patient of intensive care units; feasible and had a significantly positive impact on the functional outcomes of patients; reduces associated complications resulting from prolonged bed rest and also decreases the length of hospital stay.Conclusion: it was evidenced that 90% of studies affirm that early mobilization is an effective, safe and beneficial therapy to reduce complications and stay of patients hospitalized in intensive care units.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
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 head0.035
GPT teacher head0.497
Teacher spread0.462 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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