Challenging Diagnosis of a Rare Case of Spontaneous Keloid Scar
Bibliographic record
Abstract
Keloid scars are benign dermal collagenous lesions that arise in the reticular layer of the dermis as a result of a period of prolonged wound healing due to injurious cutaneous insult. It is diagnosed clinically by a history of injury preceding its appearance and its pathognomonic encroachment beyond the boundary of the original wound. There are multiple factors that predispose an individual to keloid scar formation but no single hypothesis sufficiently explained its complex pathogenesis. The spontaneity of keloid scar to arise de novo without prior cutaneous injury is very rare. Although the non-specific appearance of spontaneous keloid scar can resemble various malignant or benign tumors, it is of paramount importance to accurately diagnose it due to the difficulty and complexity of keloid scar treatment or the atrocious outcome of its mismanagement. Here, we presented a rare case of spontaneous keloid scar over an unusual site of occurrence, and its disfiguring consequences as a result of misdiagnosis and treatment. We also highlighted the diagnostic challenge facing many clinicians when spontaneous keloid scar occurred in an individual without significant predisposing factors. Therefore, extra vigilance should be exercised in our practice and the spontaneity origin of keloid scar should be borne in one’s mind. J Med Cases. 2014;5(8):466-469 doi: http://dx.doi.org/10.14740/jmc1887w
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".