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Record W4400317540 · doi:10.1016/j.nurpra.2024.105128

A Mnemonic for Management of Stable Chronic Obstructive Pulmonary Disease: A Canadian Approach

2024· article· en· W4400317540 on OpenAlex
Mohamed Toufic El Hussein, D. Sheehan

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal for Nurse Practitioners · 2024
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsnot available
Fundersnot available
KeywordsPulmonary diseaseMnemonicMedicineIntensive care medicineDisease managementChronic diseaseDiseaseComputer scienceInternal medicinePsychologyCognitive psychology

Abstract

fetched live from OpenAlex

This article introduces a mnemonic that corresponds to the relevant pharmacological management of stable chronic obstructive pulmonary disease (COPD) based on current practice guidelines in Canada. The mnemonic is an alphabetical list from A to E that acts in a grouped chronological order. Anticholinergics and Beta 2 adrenergic agonists as single agents or in combination (Dual therapy) are recommended baseline therapies. Corticosteroids are added to the baseline therapy in patients at a higher risk for acute exacerbation COPD or experiencing a greater symptom burden. In severe cases in which patients continue to exacerbate, the practitioner can choose to add enhanced therapy (macrolide, roflumilast, N-acetylcysteine).

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.324
Teacher spread0.301 · 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