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Record W4411474892 · doi:10.1016/j.jaccao.2025.05.009

IGHG Recommendations for Anthracycline and Anthraquinone Cardiac Dysfunction Equivalence Ratios After Childhood Cancer

2025· review· en· W4411474892 on OpenAlexaff
Theodorus W. Kouwenberg, Elvira C van Dalen, Renée L. Mulder, Saro H. Armenian, Elizabeth A. M. Feijen, Eric J. Chow, Helen Kosmidis, Britta Vormoor-Bürger, Chikako Kiyotani, Paul C. Nathan, Livia Kapusta, Heynric B. Grotenhuis, Frederike K. Engels, Arco J. Teske, Athanasios Tragiannidis, Martijn G. Slieker, Shuichi Ozono, Anju Nohria, Tomáš Sláma, Roderick Skinner, Melissa M. Hudson, Matthew J. Ehrhardt, Annelies M. C. Mavinkurve‐Groothuis

Bibliographic record

VenueJACC CardioOncology · 2025
Typereview
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAnthracyclineMitoxantroneMedicineIdarubicinCardiotoxicityDaunorubicinEpirubicinDoxorubicinInternal medicineOncologyCancerChemotherapyBreast cancerCytarabine

Abstract

fetched live from OpenAlex

Anthracycline and anthraquinone agents are major contributors to cancer therapy-related cardiac dysfunction in childhood cancer. However, evidence-based equivalence ratios for estimating individual risk have not been incorporated into international surveillance guidelines. The International Late Effects of Childhood Cancer Guideline Harmonization Group systematically reviewed the literature on equivalence ratios for doxorubicin, daunorubicin, epirubicin, idarubicin, and mitoxantrone. Based on available evidence, benefit-harm considerations, and expert consensus, the panel concluded that the risk of cardiac dysfunction is lower with daunorubicin and higher with mitoxantrone compared with doxorubicin (moderate-quality evidence; strong recommendation). The panel recommends using an approximate ratio of 0.6 to convert daunorubicin to a doxorubicin-equivalent dose and a ratio of 10.5 for mitoxantrone (low-quality evidence; moderate recommendation). No recommendation was made for epirubicin or idarubicin due to inconclusive evidence.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.044
GPT teacher head0.395
Teacher spread0.351 · 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 designNot applicable
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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

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