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Microangiopathic haemolytic anaemia and hyposplenism in angiosarcoma

2010· article· en· W2062277180 on OpenAlexaff
Bakul I. Dalal, Arwa Z. Al‐Riyami, Paul R. Yenson

Bibliographic record

VenueBritish Journal of Haematology · 2010
Typearticle
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsPathologyMedicineAngiosarcomaBone marrowMicroangiopathic hemolytic anemiaCD34Lymph nodeBiologyInternal medicineThrombotic thrombocytopenic purpuraPlateletStem cell

Abstract

fetched live from OpenAlex

An 83-year-old man presented with an 18-month history of hyposplenic blood film features and progressive microangiopathic haemolytic anaemia for 6 months (top left). He had recently developed dyspnoea. Past history included melanoma and basal cell carcinoma. Bone marrow could not be aspirated. Touch preparations of a core biopsy specimen showed occasional large mononuclear cells (20–30 μm diameter) with variably vacuolated cytoplasm. The bone marrow was fibrotic and extensively infiltrated by spindle-shaped and polyhedral cells, focally forming vascular structures with red blood cells in them (bottom left), expressing CD31 (bottom right) and CD34, and lacking S100 and human herpesvirus 8, thus confirming the diagnosis of angiosarcoma. A computed tomography scan (top right) showed a normal sized spleen infiltrated by a multi-nodular conglomerate mass, haemoperitoneum adjacent to the liver and within the mesentery, and a cardiophrenic lymph node. The patient developed multi-organ failure and died within 2 weeks of his diagnosis. Thrombotic microangiopathy as a presenting feature of angiosarcoma is rarely described. Shearing of blood cells within the neoplastic blood vessels may contribute to this condition. Bone marrow involvement is rarely reported and usually represents disseminated disease.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.232
Teacher spread0.226 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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