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Record W2090606705 · doi:10.1159/000226923

Flow Cytometry Analysis of T Cell Subsets in Skin of Patients with Specific Cutaneous Manifestation of B Non-Hodgkin Lymphoma

2009· article· en· W2090606705 on OpenAlexaff
Giovanni Ricevuti, D Pasotti, R. Degiulio

Bibliographic record

VenueOncology · 2009
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsFlow cytometryLymphomaMonoclonal antibodyPathologyCutaneous T-cell lymphomaMedicineImmune systemT cellPhenotypeCutaneous lymphomaAntibodyImmunologyMycosis fungoidesBiology

Abstract

fetched live from OpenAlex

Cutaneous lesions may be the atypical initial manifestation of blood disorder. Monoclonal antibodies identify surface phenotype of lymphocytes present in specific cutaneous lesions. We studied cutaneous infiltrates with flow cytometry in 10 cases of non-Hodgkin lymphoma. We characterized T cell subset in skin immune system. The percentage of T cells was compared to percentage observed in healthy specimens from same patient. T4 cells predominate in cutaneous infiltrates, with an increase in T4/T8 ratio. There was also an increase in T6+ cells, Langerhans cell markers in the skin. HLA-Dr+, T6 cells increased in all cases tested, indicative of dendritic cells. These data showed a modification of T lymphocytes only in skin infiltrate of lymphoma.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.009
GPT teacher head0.299
Teacher spread0.289 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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