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Record W4415946170 · doi:10.1002/rcr2.70400

Lung Cancer‐Like Presentation of Pulmonary Vein Stenosis After Radiofrequency Catheter Ablation for Atrial Fibrillation

2025· article· en· W4415946170 on OpenAlexaff
Onofre Moran‐Mendoza, Bronwyn Hersen, Sabrina Allarakhia, J. Alberto Neder, Gurmohan Dhillon

Bibliographic record

VenueRespirology Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac tumors and thrombi
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsPulmonary vein stenosisPulmonary veinAtrial fibrillationRadiofrequency ablationStenosisChest painMalignancyPresentation (obstetrics)Lung

Abstract

fetched live from OpenAlex

A woman in her 50s presented with a two-month history of haemoptysis, dyspnea, cough and weight loss. She had recently undergone radiofrequency ablation for atrial fibrillation. A computed tomography (CT) scan of her chest showed left upper lobe opacity, mediastinal lymphadenopathy, and left pleural effusion, concerning for malignancy. Bronchoscopy revealed a malignant-appearing lesion that was negative for malignancy on biopsy. Despite improvement of the CT abnormalities and the lesion on a repeat bronchoscopy, she continued to experience recurrent episodes of dyspnea and haemoptysis. A ventilation/perfusion scan showed decreased perfusion to her left lung. A CT pulmonary angiogram with pulmonary vein phase established the diagnosis of pulmonary vein stenosis. This case highlights the necessity of considering pulmonary vein stenosis in patients post-ablation presenting with features suggestive of lung cancer to avoid unnecessary delays in diagnosis and treatment.

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)0.003
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
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 head0.011
GPT teacher head0.318
Teacher spread0.306 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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