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Record W4413447084 · doi:10.4103/idoj.idoj_1170_24

Thiamidol in Melasma in Patients of Skin of Color: A Preliminary Report of Efficacy and Safety

2025· article· en· W4413447084 on OpenAlexaff
Rashmi Sarkar, Anjali Sahu, Vibhu Mendiratta, Sonali Langar

Bibliographic record

VenueIndian Dermatology Online Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsSKiN Health
Fundersnot available
KeywordsMelasmaMedicineDermatologyHyperpigmentationGeneralizability theoryAdverse effectLimitingSkin typeSkin colorPatient satisfactionInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Melasma poses significant therapeutic challenges, especially in patients with skin of color, due to the increased risk of post-inflammatory hyperpigmentation. Thiamidol, a novel topical tyrosinase inhibitor, has demonstrated potential efficacy with a favorable safety profile in treating hyperpigmentation disorders. OBJECTIVE: This case series evaluates the efficacy and safety of Thiamidol in women of skin of color with melasma. PATIENTS AND METHODS: Ten Indian women with Fitzpatrick skin types III-V and melasma applied 0.2% Thiamidol twice daily for 12 weeks. Outcomes were measured using the modified Melasma Area and Severity Index (mMASI) and patient satisfaction scores. RESULTS: The average reduction in mMASI was 34.4%, with patient satisfaction averaging 62%. Reported adverse effects were minimal and self-limiting. LIMITATIONS: A small sample size and the lack of a control group limit generalizability of the results. Future research should explore thiamidol's efficacy in combination therapies and assess its long-term benefits. CONCLUSION: Thiamidol is a promising and well-tolerated treatment for melasma in patients with skin of color.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.320
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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