Evidence map›Paper›PMID 42645912›Full record

ReviewJournal of personalized medicine2026

Repigmentation Competence in Vitiligo: Integrating Immune, Regulatory, Regenerative, and Microenvironmental Axes.

Maria Efenesia Baffa, Roberto Maglie, Stefano Colabrese, Carlo Pipitò, Vincenzina Rubino, Sasha Visinoni, Lucrezia Cerchiai, Marzia Caproni, Emiliano Antiga

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of personalized medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maria Efenesia BaffaDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0000-0001-8454-7617
Roberto MaglieDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.
Stefano ColabreseDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0009-0004-8290-638X
Carlo PipitòDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0000-0001-5211-8228
Vincenzina RubinoDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0009-0006-6014-7102
Sasha VisinoniDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.
Lucrezia CerchiaiDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.
Marzia CaproniRare Disease Dermatological Unit, Department of Health Sciences, Section of Dermatology, University of Florence, P. Palagi Hospital, 50125 Florence, Italy.ORCID 0000-0002-7471-3471
Emiliano AntigaDepartment of Health Sciences, Section of Dermatology, University of Florence, 50125 Florence, Italy.ORCID 0000-0001-7787-4433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is an autoimmune depigmenting disorder characterized by marked heterogeneity in therapeutic response, both between patients and among lesions within the same individual. While current therapies primarily target interferon-γ (IFN-γ)-driven inflammation, clinical outcomes remain variable and frequently incomplete, suggesting that additional lesion-specific biological factors contribute to repigmentation potential. In this narrative review, we propose the concept of

Indexed as

autoimmunityimmune regulationmicroenvironmentrepigmentation competencetreatmentvitiligo

Identifiers

PMID42645912
PMCPMC13514646

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.