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Record W104580416 · doi:10.1155/2008/541963

Pain Characteristics of Adults 65 Years of Age and Older Referred to a Tertiary Care Pain Clinic

2008· article· en· W104580416 on OpenAlexaff
Angela Mailis, Keith Nicholson, Balaji Yegneswaran, Mateusz Zurowski

Bibliographic record

VenuePain Research and Management · 2008
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsPsychosocialMedicineTertiary carePhysical therapyNeuropathic painChronic painPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Reports indicate that characteristics of older adults with chronic pain may be different than those of younger persons. OBJECTIVE: To study the pain characteristics of older patients presenting to a tertiary pain clinic for the first time. METHODS: Age, sex and relative contributions of biomedical versus psychosocial variables contributing to chronic pain were investigated in patients 65 years of age and older, in comparison with younger patients, from a sample of 1242 consecutive new patients attending a tertiary care pain clinic. The presence of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision somatoform pain disorders were defined, using an explicated method of ascertaining the biomedical and psychological variables underlying the pain complaints. RESULTS: The older patients (14.7% of the total sample) had relatively more physical problems (concordant with their complaints) but fewer psychological factors contributing to disability than the younger pain patients. Musculoskeletal and neuropathic disorders affected 40.7% and 35.2% of the older patients, respectively, while several patients had more than one painful disorder. Musculoskeletal problems were more prevalent in the women, and neuropathic problems were more prevalent in the men. CONCLUSIONS: The older pain patients are a distinct group. Factors affecting the delayed presentation of older pain patients to the pain clinic and limitations of the present study are discussed.

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)0.006
metaresearch head score (Gemma)0.001
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 score0.554
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 head0.045
GPT teacher head0.342
Teacher spread0.297 · 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

Citations45
Published2008
Admission routes1
Has abstractyes

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