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Record W4414703511 · doi:10.21518/ms2025-373

Chronic inflammatory diseases of the external genitalia in men

2025· article· en· W4414703511 on OpenAlexaff
Yu. S. Kovaleva, N. I. Barsukova, A. V. Solovyev

Bibliographic record

VenueMeditsinskiy sovet = Medical Council · 2025
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsSKiN Health
Fundersnot available
KeywordsExternal genitaliaEtiologySex organPemphigusBetamethasoneDifferential diagnosisDrug

Abstract

fetched live from OpenAlex

The article focuses on a very relevant and difficult topic in dermatology – dermatoses localized in the area of the external genitalia in men. This problem accounts for 5 to 15% of all primary visits of men to a urologist or dermatovenerologist. The article provides a detailed description of the features of the skin of the genitals in men, describes the causes and etiological factors leading to the development of chronic inflammatory dermatoses in this area. A review of domestic and foreign literature on dermatological diseases of the external genitalia in men is provided. Balanoposthitis, genital dermatoses of autoimmune genesis are examined in detail, lesions of the external genitalia in chronic inflammatory dermatoses (inverse psoriasis, lichen sclerosus, lichen planus, pemphigus vegetans) are described. For each dermatosis, the article examines in detail the epidemiology, clinical picture with the peculiarity of manifestations in the area of the external genitalia, differential diagnostics, principles of drug therapy. The article is illustrated by the author’s own clinical observations of various dermatoses localized in the ano-genital area in men. And also, the results of successful complex treatment of patients with the use of the topical drug of Russian manufacture Akriderm GK, containing a micronized form of betamethasone dipropionate, gentamicin sulfate and clotrimazole in a number of chronic dermatoses localized in the area of the external genitalia in men are shown. The peculiarity of the clinical picture in the described patients was a bright specific clinic, however, untimely diagnostics and the lack of adequate therapy significantly affected the quality of life of patients. The article may be of interest to dermatovenerologists, urologists, and other specialists dealing with this problem.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.165
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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