Associação da Intensidade de Dor no Tempo Até à Morte dos Doentes Oncológicos Referenciados aos Cuidados Paliativos
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.
Bibliographic record
Abstract
INTRODUCTION: Pain is a common symptom experienced by cancer patients, especially in those with advanced disease. Our aim was to describe pain intensity in advanced cancer patients, referred to the palliative care unit, the factors underlying moderate to severe pain and its prognostic values. MATERIAL AND METHODS: This was a prospective observational study. All patients with mestastatic solid tumors and with no specific oncologic treatment were included. Pain intensity was accessed using the pain scale from Edmonton Symptom Assessment Scale, rated from 0 to 10 on a numerical scale, where zero = no pain and 10 = worst possible pain. RESULTS: Between October 2012 and June 2015, a total of 301 patients participated in the study. The median age was 69 years, (37 - 94); most of the patients were men (57%) and 64.8% had a performance status of 3/4. About 42% reported pain severity ≥ 4 and 74% were medicated with opioids. Multivariate analysis indicated a correlation between performance status and reported pain (OR: 1.7; IC 95%: 1.0 - 2.7; p = 0.045). Median overall survival was 37 days (IC 95%: 28 - 46). Patients reporting moderate to severe pain (pain severity ≥ 4) had a median survival of 29 days (IC 95%: 21 - 37), comparing with those who had no or moderate pain with median survival of 49 days (IC 95%: 35 - 63) (p = 0.022). DISCUSSION: The performance status was associated with more intense pain. The performance status, hospitalization, intra-abdominal metastization and opioid analgesia were associated with shorter time to death in advanced cancer patients referred to palliative care. CONCLUSION: Cancer pain continues to be a major clinical problem in advanced cancer patients.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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 it