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Record W2087991814 · doi:10.12968/ijpn.2006.12.8.390

People with chronic obstructive pulmonary disease at the end of life: A review of the literature

2006· review· en· W2087991814 on OpenAlexaff
Donna Goodridge

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2006
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCOPDMedicinePulmonary diseasePalliative careIntensive care medicineEnd-of-life careDiseasePneumoniaCause of deathCancerInternal medicineNursing

Abstract

fetched live from OpenAlex

Based on 2004 data, chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death in the world, surpassed only by cardiovascular disease, pneumonia and HIV/AIDS. The terminal trajectory of patients with COPD is distinct from that of cancer patients. The unpredictability of prognosis for people with COPD poses different challenges in end-of-life decision-making from those faced by individuals with terminal cancer. The use of a traditional cancer-based service model to predict the need for palliative care services is not helpful for people with COPD. Drastic improvements in end of life care for the people with COPD are essential, especially with the projected rise in cases over the coming years.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0060.008
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.063
GPT teacher head0.423
Teacher spread0.361 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations35
Published2006
Admission routes1
Has abstractyes

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