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Record W3048592383 · doi:10.1590/0034-7167-2019-0391

Palliative care consultation team: symptom relief in first 48 hours of hospitalization

2020· article· en· W3048592383 on OpenAlexaboutno aff
Magda Aparecida dos Santos Silva, Márcio A. Diniz, Ricardo Tavares de Carvalho, Toshio Chiba, Cibele Andrucioli de Mattos-Pimenta

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2020
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNauseaMedicinePalliative careDepression (economics)Logistic regressionPain reliefInternal medicinePhysical therapyEmergency medicineNursingAnesthesia

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the relief of symptoms provided by palliative care consultation team (PCCT) compared to the traditional care team (TC), in patients with advanced cancer in the first 48 hours of hospitalization. METHOD: Allocated to PCCT Group and TC Group, this study assessed 290 patients according to the Edmonton Symptom Assessment System (ESAS) within the first 48 hours of hospitalization. The main outcome was a minimum 2-point reduction in symptom intensity. RESULTS: At 48 hours, the PCCT Group had a 2-point reduction in the mean differences (p <0.001) in pain, nausea, dyspnea, and depression; and TC Group, on nausea and sleep impairment (p <0.001). Multiple Logistic Regression found for the PCCT Group a greater chance of pain relief (OR 2.34; CI 1.01-5.43; p = 0.049). CONCLUSION: There was superiority of the PCCT Group for pain relief, dyspnea and depression. There is a need for more studies that broaden the understanding of team modalities.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.385
Teacher spread0.299 · 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 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

Citations14
Published2020
Admission routes1
Has abstractyes

Explore more

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