Skin cancer knowledge and photoprotective practices of organ transplant recipients
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.
Bibliographic record
Abstract
BACKGROUND: Long-term use of immunosuppressive medications by organ transplant recipients (OTRs) leads to an increased risk of non-melanoma skin cancers (NMSCs). The objective of this study was to assess photoprotective knowledge and practices among OTRs and to identify predictors of poor sunscreen adherence and barriers to photoprotection. METHODS: A written survey was administered to 300 solid OTRs attending the Southern Alberta Transplant Program. Demographics, transplant and NMSC history, ultraviolet radiation (UVR) exposure, photoprotective knowledge and practices, and barriers to implementing photoprotection were collected. Relevant statistical analyses and univariate and multivariable regression models on sunscreen use were performed. RESULTS: One hundred and seventy-nine of the 300 respondents reported not using sunscreen most days despite 79.3% recalling have received photoprotection education. Of the surveyed OTRs, 45.7% reported no barriers to implementing photoprotective practices. On average, respondents scored 74.5% on a commonly used tool to assess photoprotective knowledge (SD 30.6%). In multivariable analyses, older age, male gender, and lack of post-secondary education were associated with lower rates of self-reported sunscreen use. The most commonly patient-reported barriers to photoprotection were "hassle/time consuming" (16.7%) and "sunscreen is uncomfortable or unpleasant" (10.0%). CONCLUSIONS: Despite OTRs self-reporting having received sufficient sun-protective knowledge and demonstrating reasonable recollection of photoprotective education on assessment, implementation of sun protection in the studied OTRs remains suboptimal.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it