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Record W3201020318

[A new form of Kaposi sarcoma].

2021· article· en· W3201020318 on OpenAlexaff
Leonie A J Derickx, Ronald H Houwing, Bert H. van Bergen, Judith van der Horst, Henry J.C. de Vries

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineSarcomaKaposi's sarcomaHistologyLesionHemangiomaFoot (prosody)PathologyDermatologyHuman herpesvirus
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Kaposi sarcoma is an vascular neoplasm caused by infection with human herpesvirus-8. Known risk groups are Mediterranean, eastern European Jewish and African ancestry men or men with AIDS. Nowadays we distinguish more subgroups. CASE DESCRIPTION: We present a healthy 39 year old man with a lesion on the right foot, having homosexual contacts, without HIV infection. Previous histology revealed signs of hemangioma. Recent clinical signs and histology confirmed multifocal Kaposi sarcoma. He was treated with radiotherapy. We also present a 65 year old MSM with and a lesion on the sole of the foot. Histology revealed for a solitary nodular Kaposi sarcoma. A short term relapse after surgical excision occurred. CONCLUSION: Kaposi sarcoma is subdivided into different categories. Kaposi Sarcoma in HIV-negative MSM is seen more frequently today, yet usually shows an indolent course. An adjusted less aggressive treatment and follow-up is therefore justified.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.239
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2021
Admission routes1
Has abstractyes

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Same venuePubMed→Same topicViral-associated cancers and disorders→French-language works237,207→