Dermatology: how to manage facial hyperpigmentation in skin of colour
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
Hyperpigmentation disorders, such as post-inflammatory hyperpigmentation and melasma, are common conditions affecting all skin types. These conditions are largely benign and are influenced by numerous endogenous and exogenous factors impacting melanocyte activity and melanin production. Current treatment modalities for these conditions fall into broad categories, including photoprotection, topical and systemic therapies, chemical peels, and laser or light-based therapies. Biological differences in skin of colour require additional consideration when deciding on treatment and management. This narrative review provides an inclusive summary of these conditions and compares the current treatment options with a specific focus on skin of colour. Photoprotection and sunscreens protective against both UV and visible light are recommended for all individuals. Topical therapy is the recommended first-line treatment, with the gold standard being hydroquinone, which can be used alone or in combination with other agents. Chemical peels and laser or light-based therapies are also effective adjunctive methods of treatment; however, caution should be taken when used in patients with richly pigmented skin due to the increased risk of post-inflammatory hyperpigmentation.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it