Behavioral Pain Scale and Critical Care Pain Observation Tool for pain evaluation in orotracheally tubed critical patients. A systematic review of the literature
Bibliographic record
Abstract
OBJECTIVE: Descrever a adequação de duas escalas comportamentais, a Behavioral Pain Scale e a Critical Care Pain Observation Tool, para a avaliação da dor em pacientes intubados orotraquealmente, internados em unidades de terapia intensiva. METHOD: Utilizando a metodologia recomendada pelo Centro Cochrane, foi realizada revisão sistemática da literatura, na base de dados eletrônica EBSCO host (CINAHL Complete, MEDLINE®Complete, Nursing & Allied Health Collection: Comprehensive, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Cochrane Methodology Register, Library, Information Science & Technology Abstracts, MedicLatina). Foram realizadas duas pesquisas com os seguintes termos em inglês no campo de pesquisa: "behavioral pain scale" AND "critical care pain observation tool" AND "behavioral pain scale" OR "critical care pain observation tool". Dois revisores independentes realizaram a avaliação crítica, a extração e a síntese dos dados. RESULTS: Foram incluídos 15 estudos que evidenciaram que a Behavioral Pain Scale e a Critical Care Pain Observation Tool eram duas escalas válidas e confiáveis para a avaliação da dor em pacientes intubados orotraquealmente e internados em unidade de terapia intensiva. As escalas apresentaram propriedades psicométricas semelhantes, bem como boa confiabilidade. CONCLUSION: Ambas as escalas são adequadas para a avaliação da dor em pacientes intubados orotraquealmente, internados em unidade de terapia intensiva, contudo, apresentam limitações em populações específicas como doentes vítimas de trauma, queimados e do foro neurocirurgico. É sugerida a realização de mais estudos sobre o tema e em populações específicas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.017 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".