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Takotsubo Cardiomyopathy During Anti-HER2 Therapy for Metastatic Breast Cancer

2018· article· en· W2898956824 on OpenAlexaff
Caitlin Lees, Payam Yazdan-Ashoori, Katarzyna J. Jerzak, Sonal Gandhi

Bibliographic record

VenueThe Oncologist · 2018
Typearticle
Languageen
FieldMedicine
TopicTakotsubo Cardiomyopathy and Associated Phenomena
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoDalhousie University
Fundersnot available
KeywordsMedicineMetastatic breast cancerCardiomyopathyOncologyBreast cancerInternal medicineCancerCardiotoxicityHeart failureChemotherapy

Abstract

fetched live from OpenAlex

Human epidermal growth factor receptor 2 (HER2)-targeted antibodies, including pertuzumab and trastuzumab, improve overall survival and progression-free survival among women with HER2-positive metastatic breast cancer, but grade ≥3 cardiotoxicity occurs in approximately 8% of cases. Here we report a case of Takotsubo cardiomyopathy associated with the use of dual anti-HER2 therapy in a 63-year-old woman who presented to the emergency department with an 8- to 10-hour history of progressive dyspnea after completing her third cycle of pertuzumab plus trastuzumab in addition to nab-paclitaxel chemotherapy. To our knowledge, this patient represents the first reported case of Takotsubo cardiomyopathy associated with pertuzumab plus trastuzumab combination therapy in the literature.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.323
Teacher spread0.291 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

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