Kaposi sarcoma in HIV Patients: Case study and literature review
Bibliographic record
Abstract
Introduction: Kaposi sarcoma (KS), a malignancy originating from endothelial cells and linked to human herpesvirus 8 (HHV-8), disproportionately affects individuals with human immunodeficiency virus (HIV). Despite decreased incidence in high-income countries due to antiretroviral therapy, KS remains a significant concern in sub-Saharan Africa. This article presents a case study of an HIV-positive patient treated exclusively with radiation therapy and provides a comprehensive literature review on KS management. Case Presentation: A 46-year-old HIV-positive patient, under well-controlled infection, exhibited nodular skin lesions, hyperpigmentation, and lymphedema primarily on the lower left limb. Histological analysis confirmed the diagnosis of KS. The patient underwent radiation therapy (36 Gy in 12 sessions) with subsequent topical imiquimod. Nine months post-treatment, no nodular lesions were observed, indicating a positive response. Conclusion: In the antiretroviral era, radiation therapy emerges as a crucial loco-regional treatment in the multimodal management of epidemic KS. With a focus on controlling disease within irradiated areas, excellent response rates and acceptable toxicity levels highlight the efficacy of this approach.
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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 | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".