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Prevalence and Relevance of Pain in Older Persons

2012· editorial· en· W2101315894 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePain Medicine · 2012
Typeeditorial
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsUniversité de MontréalMcGill UniversityInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsRelevance (law)MedicinePain medicineMEDLINEPhysical therapyGerontologyPsychiatryAnesthesiology

Abstract

fetched live from OpenAlex

SETTING: With the ageing of the world's population, any health problem which adversely affects quality of life in older persons becomes increasingly salient. Persistent pain is one of the most prevalent health conditions faced by adults of advanced age, and is recognized as a major concern for this segment of the population. RESULTS: Numerous epidemiologic surveys suggest that pain is most common during the late middle-aged phase of life (55-65 years) and continues at approximately the same prevalence into older age (65+). This is true regardless of the anatomical site or the pathogenic cause of pain. The one exception appears to be pain associated with degenerative joint disease (e.g., osteoarthritis) which shows an exponential increase until at least 90 years of age. Common age associated conditions like dementia may result in a reduced frequency and intensity of pain. Daily pain is a major risk factor for developing disability and the oldest age cohorts are most vulnerable. Discretionary and higher order physical activities appear most affected, while basic activities of daily living may be modified but are rarely ceased altogether. Similar relationships have been documented for risk of depression and mood disturbance in older persons with persistent pain. Despite such well characterized adverse impacts, pain often remains poorly treated in older persons. This occurs across all health care settings examined (i.e., emergency, acute, outpatient, long-term care). CONCLUSION: Improved knowledge for both health professionals and patients, addressing the current research gaps and expansion of age-appropriate pain management services will be required to better meet the needs of our rapidly ageing population.

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)0.011
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.278
Teacher spread0.267 · 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