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Record W1980043856 · doi:10.1016/j.rmcr.2014.08.001

A rare cause of hemoptysis

2014· article· en· W1980043856 on OpenAlexaff
Meghan Aversa, Sacha Bhinder, Jeffrey Tanguay, John Thenganatt

Bibliographic record

VenueRespiratory Medicine Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicinePulmonary hemorrhageAngiosarcomaMalignancyDiffuse alveolar hemorrhageLungChest painRadiologyPathologicalBloodyBiopsyPathologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Angiosarcomas are rare, malignant, endothelial-cell tumors of vascular origin that can arise at any body site. They frequently metastasize to the lung, heralded by dyspnea, hemoptysis, chest pain, pneumothoraces, and diffuse pulmonary hemorrhage. However, in most cases lung metastases are discovered after the diagnosis of a primary angiosarcoma has already been established. Very rarely will an undiagnosed metastatic angiosarcoma present as diffuse pulmonary hemorrhage. We describe the case of a 59-year-old male who presented to hospital with dyspnea and hemoptysis. CT chest revealed rapidly progressing nodular changes and broncho-alveolar lavage returns were progressively bloody. Open lung wedge biopsy ultimately revealed metastatic angiosarcoma and extensive pulmonary hemorrhage. Our case highlights the key clinical, radiological, and pathological features of this rare malignancy that frequently metastasizes to the lung and reminds clinicians to consider it as a cause of hemoptysis and pulmonary hemorrhage.

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)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.031
GPT teacher head0.298
Teacher spread0.266 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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