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Record W2127138014 · doi:10.5858/2007-131-974-santot

Sclerosing Angiomatoid Nodular Transformation of the Spleen

2007· article· en· W2127138014 on OpenAlexaff
Ahlam A. Awamleh, Bayardo Perez‐Ordoñez

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsPathologyCD31CD34Red pulpCD68HemangioendotheliomaSpleenMedicineStromal cellImmunohistochemistryBiologyImmunologyStem cell

Abstract

fetched live from OpenAlex

Sclerosing angiomatoid nodular transformation (SANT) is a recently recognized nonneoplastic vascular lesion of the spleen with fewer than 30 cases described. Microscopically, SANT consists of multiple well-circumscribed vascular/angiomatoid nodules showing plump endothelial cell and extravasated erythrocytes. The nodules are surrounded by a variable lymphoplasmacytic infiltrate, spindle cells, and collagenous stroma. The vascular nodules display a complex mixture of endothelial phenotypes resembling splenic sinusoids (CD34-/CD31+/CD8+), capillaries (CD34+/ CD31+/CD8-), and small veins (CD34-/CD31+/CD8-). Focal expression of CD68 can also be seen. The differential diagnosis of SANT includes splenic hamartoma, inflammatory myofibroblastic tumor, littoral cell angioma, and hemangioendothelioma. It has been postulated that SANT represents a peculiar hamartomatous transformation of splenic red pulp in response to an exaggerated nonneoplastic stromal proliferation. SANT has a benign clinical course with splenectomy being curative.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.279
Teacher spread0.264 · 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

Citations77
Published2007
Admission routes1
Has abstractyes

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