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Record W2782528556 · doi:10.1177/1078155217748735

Approach to initiating QT-prolonging oncology drugs in the ambulatory setting

2018· review· en· W2782528556 on OpenAlexaffabout
Mário L de Lemos, Carrie Kung, Victoria Kletas, Nadine Badry, Isabell Kang

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2018
Typereview
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineQT intervalTorsades de pointesIntensive care medicineAmbulatoryDrugInternal medicineCancerOncologyPharmacology

Abstract

fetched live from OpenAlex

Since the introduction of regulatory drug approval guidance on the evaluation of QT interval prolongation, an increasing number of drug monographs has included cautions on the risk of QT prolongation. For example, QT prolongation is mentioned in the Canadian product monographs of 29 drugs commonly seen in oncology practice. This presents two major challenges. First, most guidelines and risk predictive tools for QT prolongation have been developed for hospitalized patients in acute care settings. In contrast, most QT-prolonging oncology drugs are used in medically stable patients in the ambulatory setting. Second, many oncology drugs are unique for their indications and non-QT prolonging alternative agents are often not available. In this review, we will outline an empiric initial approach to ambulatory cancer patients who are treated with oncology drugs which may prolong QT interval. This includes the predictive value of QT prolongation on torsades de pointes, the risk factors of the patients and the drugs, and the limitations of existing guidance in this area.

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)0.010
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
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 head0.089
GPT teacher head0.471
Teacher spread0.382 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations7
Published2018
Admission routes2
Has abstractyes

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