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Record W2134740705 · doi:10.3109/10428194.2014.883072

A single-institution analysis of the utility of pre-induction ejection fraction measurement in patients newly diagnosed with acute myeloid leukemia

2014· article· en· W2134740705 on OpenAlexaff
Adam Bryant, Dawn Sheppard, Mitchell Sabloff, Michelle Delbaere, David Allan, Harold Atkins, Isabelle Bence‐Bruckler, Carolyn Faught, Lothar Huebsch, Jason Tay, Brent W. Zanke, Christopher Bredeson

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2014
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsEjection fractionMedicineMyeloid leukemiaInduction chemotherapySingle CenterInternal medicineRetrospective cohort studyChemotherapyIntensive care medicineAcute leukemiaCardiac function curveOncologyLeukemiaCardiologyHeart failure

Abstract

fetched live from OpenAlex

Anthracyclines, a standard component of induction therapy for acute myeloid leukemia (AML) are known to be cardiotoxic. Existing evidence supporting routine baseline pre-induction cardiac function testing is limited. We conducted a retrospective analysis of 119 consecutive patients diagnosed with AML at our center from 2009 to 2012. In the 76 patients for whom induction chemotherapy was planned, baseline ejection fraction measurements were rarely abnormal (four cases), and in none of these abnormal cases did the result change management decisions. Awaiting LVEF evaluation results led to a delay in chemotherapy administration by a mean of approximately 2 days at significant additional costs to the healthcare system. Routine baseline ejection fraction measurement should be abandoned as it does not change management, results in treatment delay and unnecessary healthcare expenditures. More selective baseline testing, preferentially in patients in whom there is a clinical reason of cardiac disease, should be pursued.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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 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

Citations5
Published2014
Admission routes1
Has abstractyes

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