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Record W2052268840 · doi:10.3747/co.21.2038

Severe Gastrointestinal Hemorrhage During Targeted Therapy for Advanced Breast Carcinoma

2014· article· en· W2052268840 on OpenAlexaffvenue
Hazem Assi, Nanees Abd-Elsamad

Bibliographic record

VenueCurrent Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsMemorial University of NewfoundlandMoncton HospitalDalhousie University
Fundersnot available
KeywordsMedicineEverolimusExemestaneLetrozoleAnastrozoleTargeted therapyOncologyBreast cancerInternal medicineAdverse effectHormonal therapyCancerArgon plasma coagulationTamoxifenEndoscopy

Abstract

fetched live from OpenAlex

The introduction of targeted agents has improved survival for patients with a number of types of cancer, including several breast cancer subtypes. However, these agents are not without toxicities, and the fact that many patients are now on targeted therapy for extended periods of time has presented new challenges for the management of adverse effects. Everolimus is an inhibitor of mtor (the mammalian target of rapamycin) that is used as targeted therapy for advanced, hormone receptor-positive, her2-negative breast cancer in postmenopausal women in combination with exemestane, after treatment failure with letrozole or anastrozole. Minor hemorrhagic events are relatively common with targeted agents, but life-threatening hemorrhages, although uncommon, can also occur. We report a case of life-threatening gastrointestinal bleeding in a 48-year-old woman being treated with everolimus for advanced infiltrating ductal carcinoma of the breast. The bleeding was successfully treated with 13 sessions of endoscopic hemostasis using argon plasma coagulation.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.336
Teacher spread0.297 · 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 designObservational
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

Citations14
Published2014
Admission routes2
Has abstractyes

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