Bibliographic record
Abstract
The histology of melanocytic nevi in elderly patients often differs from nevi in younger adults. Our hypothesis was that nevi in patients3 60 yrs would demonstrate histologic patterns different from nevi in younger adults. Biopsies of nevi (n = 214) from 172 patients3 60 yrs (mean age 69 ± 7 yrs) were examined by three dermatopathologists and a consensus diagnosis was rendered. Control specimens (n = 82) from 58 patients 20–40 yrs (mean age 31 ± 5 yrs) were evaluated. Compound melanocytic nevi were commoner in younger patients (37%) versus older patients (12%)(p < .0001). Junctional melanocytic nevi were more frequently diagnosed in older patients (10% versus 3%; p = .027) and a lentiginous, often heavily pigmented, growth pattern was common (12% of nevi) vs control group (3%; p = .028). Atypical (“dysplastic”) nevi had a similar frequency at all ages, however 12/214 nevi in elderly patients (6%) exhibited marked atypia with features suggesting melanoma in‐situ. We conclude that benign junctional nevi are relatively common in elderly patients and that a lentiginous, heavily pigmented growth pattern, typically associated with younger patients, is often seen in both junctional and compound nevi in this older age group. This pattern must be differentiated from dysplastic nevus and melanoma in‐situ, which they may clinically resemble.
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.
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 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".