Paying more than lip service to lip lesions.
Bibliographic record
Abstract
OBJECTIVE: To review the epidemiology, etiology, diagnosis, management, and prognosis of the most common, potentially lethal, lip lesions: leukoplakia, actinic cheilitis, and squamous cell carcinoma (SCC). QUALITY OF EVIDENCE MEDLINE: was searched from 1966 to 2002 for English-language articles on prevalence of lip lesions. No articles for a family physician audience were found. MEDLINE was searched again using the terms "leukoplakia," "actinic cheilitis," and "squamous cell carcinoma." Randomized, controlled trials were selected; non-blinded trials, population-based studies, and systematic reviews were also used. MAIN MESSAGE: Leukoplakia, actinic cheilitis, and SCC of the lips are relatively common presentations that can cause substantial morbidity and, more rarely, mortality. Any abnormality of the lips can be an embarrassment. Because of the seriousness and frequency of lip disease, it is important to look for, diagnose, and treat lip lesions to prevent morbidity and mortality and also to maintain social acceptance and self-esteem. CONCLUSION: Knowledge of leukoplakia, actinic cheilitis, and SCC of the lips will aid family physicians in diagnosing and managing these lesions and in preventing associated morbidity and mortality.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".