Risk factors for skin cancer and solid tumors in newly diagnosed patients with chronic lymphocytic leukemia and the impact of skin surveillance on survival
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
A retrospective analysis on 587 patients with chronic lymphocytic leukemia (CLL) assessed risk factors for skin cancer and the influence of skin cancers on survival and incidence of solid tumors (STs). Patients underwent skin surveillance and were followed for a median of 6.65 years. The relative risk for skin cancer increased prior to CLL diagnosis rising 4-fold one-year post-diagnosis. Independent predictors for skin cancer were male gender (p = .0001), age ≥70 years (p = .0036) and prior chemotherapy (p = .0116). There was no increase in mortality from skin cancer and neither skin cancer nor chemotherapy increased the risk for a ST. The development of a ST was an independent predictor of survival (p < .0001) and 43% of deaths were related to STs. Thus, regular skin surveillance can prevent increased mortality from skin cancer, but not STs, in CLL. Close skin monitoring is required for elderly males who received chemotherapy.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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