MétaCan
Menu
Back to cohort
Record W7073717801

Pain Intensity and Time to Death of Cancer Patients Referred to Palliative Care

2016· article· en· W7073717801 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careObservational studyCancerMultivariate analysisBreakthrough PainPerformance statusProspective cohort studyCancer pain
DOInot available

Abstract

fetched live from OpenAlex

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.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.040
GPT teacher head0.381
Teacher spread0.341 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicCell Image Analysis TechniquesFrench-language works237,207