SP279CHANGE IN SKIN AUTOFLOURESCENCE OVER ONE YEAR PREDICTS MORTALITY AT FIVE YEARS IN A PROSPECTIVE COHORT OF PEOPLE WITH CHRONIC KIDNEY DISEASE STAGE 3
Bibliographic record
Abstract
Introduction and Aims: Tissue advanced glycation end product (AGE) accumulation is a marker of cumulative metabolic stress assessed by a simple non-invasive measurement of skin autofluoresence (SAF). This has been shown to predict mortality in haemodialysis patients and in earlier CKD in some studies, but the impact of change in SAF over time has not previously been reported. In this study we sought to investigate the associations of SAF and change in SAF over time with mortality in people with CKD stage 3. Methods: 1741 people with CKD 3 (confirmed by two eGFR values) were recruited from primary care. Participants attended for baseline, year 1 and year 5 study visits and underwent clinical assessment, blood and serum biochemistry. At each visit, 3 measurements of skin autofluorescence were recorded from the skin of the forearm of each participant. The mean of these values was used in analyses. Mortality data were collected from hospital and national records (Office of National Statistics).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".