Scalp ulcers – differential diagnoses that should be sought!
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: Ulceration of the scalp is an uncommon clinical presentation, and it may be caused by myriads of cutaneous etiologies such as infections, inflammatory disorders, and malignancies. We sought to reveal the underlying etiology of scalp ulcers referred to our tertiary wound healing clinic; we would also like to propose a classification for scalp ulcerations. METHODS: A retrospective study was conducted in an academic tertiary wound healing clinic between January 2015 and June 2018. The study was approved by the Women's College Hospital Institutional Research Ethics Board. We have also conducted a review of the literature to recognize the major causes of scalp ulceration reported in the literature. RESULTS: We have identified a total number of 15 patients with scalp ulceration. Twelve patients with atypical scalp ulcers underwent a skin biopsy. A malignancy rate of 73% (11/15) was diagnosed histologically. The review of the literature showed 237 articles. After screening the title and the abstracts, we have selected 41 case reports for the full text review. CONCLUSION: Scalp ulcers are uncommon but important. Our sample study indicates the high frequency of malignant etiologies presenting as scalp ulcers. These results emphasize not only the need for clinicians to be on the watch for the possibility of this option but rather highlights the need for early biopsy to prevent further complications. We hope that our paper helps to shed some light on this topic and guide clinicians on how to approach scalp ulceration.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it