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Record W2006635718 · doi:10.1089/jpm.2006.0071

Length of Survival of Patients with Cancer in Hospice: A Retrospective Analysis of Patients Treated at a Major Cancer Center Versus Other Practice Settings

2007· article· en· W2006635718 on OpenAlexaff
Tallal Younis, Robert Austin Milch, David Lawrence, Amy L. Mirand, Ellis Levine

Bibliographic record

VenueJournal of Palliative Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsDalhousie University
FundersRoswell Park Cancer Institute
KeywordsMedicineCancerRetrospective cohort studyCenter (category theory)Hospice careOverall survivalFamily medicineOncologyInternal medicinePalliative careNursing

Abstract

fetched live from OpenAlex

This is a retrospective study of the length of survival (LOS) in hospice of patients with cancer treated at a major cancer center compared to other treatment sites. Of 670 patients, the 185 (28%) treated at a major cancer center had unique characteristics, including higher median Palliative Performance Score (PPS) at the time of hospice enrollment (45 versus 40, p = 0.009), and longer median LOS in hospice (35 versus 21 days, p = 0.02: log rank test). Additional variables that predicted longer LOS were higher PPS, Medicare or Medicaid, self-referral, unmarried status, and non-executed advance directives. After adjusting survival for PPS with a Cox proportional hazard model, the hazard ratio for PPS remained statistically significant (95% confidence interval [CI]: 0.95-0.97] while that for the treatment site was not (95% CI: 0.73-1.04]. The performance status, and not the treatment site, was the dominant predictor of the LOS of patients with cancer in hospice.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
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 head0.048
GPT teacher head0.412
Teacher spread0.364 · 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 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

Citations22
Published2007
Admission routes1
Has abstractyes

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