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Methadone: An Effective, Safe Drug of First Choice for Pain Management in Frail Older Adults

2009· article· en· W1990700372 on OpenAlexaff
Romayne Gallagher

Bibliographic record

VenuePain Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversity of British ColumbiaProvidence Health Care
Fundersnot available
KeywordsMethadoneMedicineAdverse effectAddictionChronic painMethadone maintenanceQuality of life (healthcare)OpioidIntensive care medicinePsychiatryInternal medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: Frail older adults have a high prevalence of chronic pain with major effects on function and quality of life. Many analgesics, including opioids, have adverse effects on older adults with multiple co-morbidities. Methadone has been increasingly used for analgesia in the last 10 years. However, a number of adverse events such as sleep-disordered breathing, methadone-induced torsades de pointes arrhythmias, as well as the "addiction stigma," have made people reluctant to use this medication. SETTING AND PATIENTS: This article uses examples of five cases of pain in frail older adults living in a skilled nursing facility. RESULTS: Safe and effective use of methadone is illustrated with these cases. The pharmacology of methadone in frail elders is reviewed to demonstrate the specific benefits of the drug in older adults and how adverse events can be minimized. CONCLUSION: Methadone is an excellent choice for pain in frail older adults.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.283
Teacher spread0.275 · 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

Citations41
Published2009
Admission routes1
Has abstractyes

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