A network analysis of changing pain cooccurrence in older adults findings from the second wave of the COPERNICUS study
Bibliographic record
Abstract
Over one-third of patients with chronic pain report pain at multiple anatomical sites. The current study examined the co-localization of pain and its intensity over a 2-year follow-up period. Kendall rank correlation coefficient (denoted as tau) was applied for the co-occurrence of pain in specific locations. Individuals over the age of 60 years were recruited from the general population in Poland (N = 205, 60-88 years old). The lumbar spine was the most frequently occurring site for chronic pain, present in 31% of individuals at baseline and in 38% after 2 years. The number of pain sites did not change over 2 years (p = 0.53). An increase of co-occurrence between anatomical sites for pain was noted after 2 years. Cervical spine pain co-occurred with pain in the thoracic spine (tau = 0.31), lumbar spine (tau = 0.45), chest (tau = 0.18), hips (tau = 0.17), legs (tau = 0.18), knee(s) (tau = 0.31), and feet (tau = 0.17). The observed increase in pain co-occurrence over 2 years suggests the need for modified approaches to pain treatment in older adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".