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Record W2096607288 · doi:10.1517/14656566.3.12.1739

Myocet (liposome-encapsulated doxorubicin citrate): a new approach in breast cancer therapy

2002· review· en· W2096607288 on OpenAlexaff
Gerald Batist, Jeremy Barton, Philip Chaikin, Christine E. Swenson, Lauri Welles

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2002
Typereview
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineDoxorubicinTherapeutic indexMetastatic breast cancerBreast cancerPharmacologyCumulative doseAnthracyclineCancerCardiotoxicityLiposomeTherapeutic effectChemotherapyOncologyInternal medicineDrug

Abstract

fetched live from OpenAlex

Doxorubicin, either as a single agent or in combination regimens, is considered to be one of the most active chemotherapeutic agents in the treatment of metastatic breast cancer. However, its clinical utility is limited by a cumulative, dose-dependent cardiac myopathy that can lead to potentially fatal congestive heart failure. Considerable research has gone into improving the therapeutic index of doxorubicin-based regimens. A new liposomal formulation of doxorubicin (Myocet, Elan Pharmaceuticals) has a significantly improved therapeutic index compared with conventional doxorubicin. The development of Myocet, a less cardiotoxic, better tolerated and equally efficacious doxorubicin, extends the therapeutic options in the overall management of breast cancer.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.004

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 head0.148
GPT teacher head0.454
Teacher spread0.306 · 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 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

Citations173
Published2002
Admission routes1
Has abstractyes

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