Dermatology: how to manage facial hyperpigmentation in skin of colour
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.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".