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Record W4399892545 · doi:10.1590/ce.v29i0.95031

INSTRUMENTS FOR THE ASSESSMENT OF HOSPITALIZED PATIENTS IN PALLIATIVE CARE: INTEGRATIVE REVIEW

2024· article· en· W4399892545 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCogitare Enfermagem · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careMedicineIntensive care medicinePsychologyNursing

Abstract

fetched live from OpenAlex

ABSTRACT Objective: to identify the instruments used to assess patients hospitalized in palliative care. Method: integrative literature review carried out in January 2024 on the online data platforms: National Library of Medicine and Latin America and the Caribbean Literature on Health Sciences (LILACS) and the virtual library Scientific Electronic Library Online. Twelve scientific articles were analyzed. Results: Sixteen instruments were identified, seven of them generic, four specific for people in palliative care, four specific for oncology patients and one for the diagnosis of COVID-19. The Palliative Performance Scale and Edmonton Symptom Assessment were the most used instruments in the studies and the most relevant aspects to be evaluated in patients receiving palliative care were functional capacity, physical and psychological symptoms and old age. Conclusion: The instruments were useful as they guided health professionals, assessed patients, and planned care and decision-making.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.183
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.126
GPT teacher head0.480
Teacher spread0.354 · 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