Pain Interference and Social Participation among Kidney Transplant Recipients
Bibliographic record
Abstract
Background: Bodily pain can be linked to poor quality of life (QOL) and limited social participation. Social participation, defined as the ability to perform one’s usual social roles and activities, is a patient-valued QOL domain often restricted in kidney transplant recipients (KTRs). Our objective was to explore the association between pain interference (PI) and social participation (SP) among KTRs. Methods: We analyzed cross-sectional data from a convenience sample of adult KTRs at Toronto General Hospital. PI and SP were assessed using Patient-Reported Outcome Measurement Information System (PROMIS) computer adaptive testing (CAT). We defined moderate/severe PI as a T-score > 60 and low SP as a T-score < 45. We used Spearman correlation analysis to explore the relationship between SP and PI and employed multivariable linear and logistic regression to further examine the association, after adjusting for covariables (age, sex, marital status, racialized status, comorbidity, hemoglobin, albumin, eGFR, months since transplant, depression, and fatigue). Multiple imputation was used to address missing data. Results: The mean (SD) age of the 282 participants was 52 (14) years, 62% were male, 59% were white. The median (IQR) months since transplant was 37 (120). The mean (SD) SP and PI scores were 52 (9) and 50 (10), respectively. A moderate negative correlation existed between SP and PI (rho= -0.55, p<0.001). This association remained significant in multivariable linear regression analysis after adjusting for covariables (ß= -.253, p<0.001; 95% CI: -.340 – -.165). Participants with moderate/severe PI were more likely to report low SP compared to those with no or mild PI in multivariable logistic regression analysis after adjusting for covariables (OR= 5.16, p= 0.001; 95% CI: 1.93 – 13.8). Conclusion: KTRs experiencing significant PI reported more limited SP than those with low PI. Future studies should assess the impact of pain and pain management on social health following transplantation. Funding: Private Foundation Support, Government Support – Non-U.S.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".