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Record W7138930541 · doi:10.1097/dad.0000000000003165

Histologic Features of Secondary Syphilis: A Systematic Review and Meta-Analysis

2025· article· en· W7138930541 on OpenAlexaff
Izadora Lapenda, Amanda Tauana, Alana Pereira, Ana Carolina Putini Vieira, Maria Antônia Akabane, Babar Rao

Bibliographic record

VenueAmerican Journal of Dermatopathology · 2025
Typearticle
Languageen
FieldMedicine
TopicSyphilis Diagnosis and Treatment
Canadian institutionsSKiN Health
Fundersnot available
KeywordsHistopathologySerologyConfidence intervalAcanthosisMeta-analysisPlasma cell

Abstract

fetched live from OpenAlex

ABSTRACT: Secondary syphilis, caused by Treponema pallidum and known as the "the great imitator," presents with varied manifestations that may mimic other skin conditions. Histopathology is critical when clinical or serologic findings are atypical, and this study analyzed its key features to improve recognition and reduce diagnostic errors. A systematic search was conducted in PubMed, Embase, and Cochrane. Statistical analyses were performed using R, version 4.3.2. A random-effects model was used to determine the proportion with 95% confidence interval (CI). Heterogeneity was assessed using Cochrane Q test and I2 statistics. Eight studies encompassing 384 patients and 460 lesions were included. The mean age was 38.1 years, and approximately 24% of the patients were female. The most common histological features were endothelial swelling, reported by five studies, with a prevalence of 85% (95% CI 0.75-0.96; I2 = 82.6%), and moderate to dense plasma cell infiltration, as reported by six studies, with a prevalence of 83% (95% CI 0.74-0.92; I2 = 90.7%). Acanthosis was observed in six studies, with a prevalence of 66% (95% CI 0.47-0.86; I2 = 96.0%), followed by perivascular inflammatory infiltrate, reported in five studies, with a prevalence of 64% (95% CI 0.37-0.90; I2 = 96.9%). Histopathology reveals consistent features, particularly endothelial swelling and plasma cell-rich infiltrates, in secondary syphilis, reinforcing its diagnostic value when clinical or serologic findings are inconclusive.

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: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.309
Teacher spread0.292 · 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 designMeta-analysis
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

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of DermatopathologySame topicSyphilis Diagnosis and TreatmentFrench-language works237,207