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Record W2121843289

A Pulmonary Artery Pseudoaneurysm from a Locally Advanced Lung Cancer: A Case Report

2013· article· en· W2121843289 on OpenAlexaff
Francis Patafio

Bibliographic record

VenueAmerican journal of cancer case reports · 2013
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsPseudoaneurysmMedicineContext (archaeology)Lung cancerRadiologySurgeryPulmonary arteryLungHematomaAneurysmInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Background: Pseudoaneurysms or false arterial aneurysms are infrequent complications that result from direct injury to the vascular wall leading to a single-layer hematoma. The formation of a pulmonary artery pseudoaneurysm secondary to an adjacent lung neoplasm is a rare occurrence. Presentation of Case: We report a patient who developed a pseudoaneurysm of his left pulmonary artery from an infiltrating squamous cell carcinoma of the lung. Conclusion: Despite the relative infrequency, the presence of a pulmonary pseudoaneurysm secondary to a lung cancer continues to have a high mortality. The aneurysm was managed with an endovascular stent with the goal of hemorrhage control. Unfortunately, the presence of the pseudoaneurysm in the context of his rapidly growing squamous cell carcinoma made the patient no longer a candidate for curative surgery, chemotherapy or radiation. After a long discussion on the patient’s wishes and goals of care, he decided for palliative care measures. He was sent home with home oxygen and community supports in order to spend the remaining days with his family.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.009
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0040.003
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.006
GPT teacher head0.283
Teacher spread0.277 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAmerican journal of cancer case reportsSame topicVascular Anomalies and TreatmentsFrench-language works237,207