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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 OpenAlex
Gerald Batist, Jeremy Barton, Philip Chaikin, Christine E. Swenson, Lauri Welles

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.808
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.000

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 head0.148
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