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Changes in the Last Months of Life (DRAFT)

2018· book· en· W2801737608 on OpenAlexaboutno aff
Jaclyn Yoong, Fiona Runacres

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNauseaAnxietyPalliative careDepression (economics)CohortObservational studyPhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

This study aimed to assess symptoms and performance status of cancer patients during the last six months of life. In Ontario, Canada, Edmonton Symptom Assessment System (ESAS) scores and Palliative Performance Scale (PPS) scores of outpatients with cancer were systemically collected. This was an observational cohort study of cancer decedents’ ESAS and PPS scores between 2007 and 2009. Outcomes were the average ESAS and PPS scores per week before death. A total of 10,752 decedents with ESAS and 7,882 with PPS scores were included. General patterns of symptoms scores were observed: (1) generally stable (pain, nausea, anxiety, depression) versus (2) increased severity over time (shortness of breath, drowsiness, well-being, lack of appetite, tiredness). More than one-third reported moderate to severe symptom scores in the last month of life. Average PPS scores declined slowly for the initial five months, then more rapidly in the last month before death.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.008

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 head0.307
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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