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Treatment patterns of goserelin 3.6 mg once monthly and 10.8 mg every three months in women with breast cancer: A real-world analysis.

2024· article· en· W4402987295 on OpenAlexaboutno aff
Kelly McCann, Virginia Kaklamani, Noran Osman, Joan Cannon, Lonnie Brent, Rachel M. Lucia, Chong Li, Nicole Duran, Sidharth Gupta, Nancy Martin

Bibliographic record

VenueJCO Oncology Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsGoserelinMedicineBreast cancerCancerInternal medicineOncologyGynecology

Abstract

fetched live from OpenAlex

391 Background: Goserelin is a gonadotropin-releasing hormone agonist used for ovarian function suppression in the treatment of pre- and peri-menopausal patients with breast cancer. Goserelin, administered as a subcutaneous implant, is available in doses of 3.6 mg once monthly or 10.8 mg every three months; goserelin 3.6 mg is approved in the US, and both the 3.6 mg and 10.8 mg doses are approved by Health Canada and the European Medicines Agency. A study utilizing US real-world evidence was conducted to characterize treatment patterns of patients treated with goserelin 3.6 mg and/or 10.8 mg. Methods: Electronic health record data of adult patients with a history of breast cancer and with ≥2 prescriptions of goserelin between 1 January 2017 – 31 December 2022 were identified through TriNetX. Index date was the initiation of goserelin administration. Patients were followed until 15 March 2024. Patient demographics, treatment adherence, and healthcare resource utilization (HCRU) were examined and summarized using descriptive analytics. Results: Overall, 3,620 patients were identified: 2,870 treated with goserelin 3.6 mg, 410 with goserelin 10.8 mg, and 340 who switched from goserelin 3.6 mg to 10.8 mg. Peak utilization of goserelin 10.8 mg (36.6%) and peak dosage switching (26.5%) occurred in 2020. Across groups, mean age at index date was 42.2–44.4 years, and patients were white (64.1–67.6%), black (11.8%–13.9%), Asian (8.0%–11.8%), and American Indian and/or Alaskan native (0.3%–2.9%). Of patients with known BMI, BMI mostly ranged between 18.5–24.9 kg/m 2 in all groups. Patients who switched from goserelin 3.6 mg to 10.8 mg had the longest median treatment duration (776 days) (Table). Patients treated with goserelin 10.8 mg remained on treatment for a median of 426 days; 74.4% of these patients were treatment-adherent (Table). In comparison, patients treated with goserelin 3.6 mg had a shorter median treatment duration (226 days) and were less adherent (56.4%) (Table). HCRU during the 12 months after index date was broadly similar across groups. Conclusions: Treatment with goserelin 10.8 mg every three months is associated with greater adherence and longer treatment duration, compared with 3.6 mg once monthly, in patients with a history of breast cancer. Patients who switched from goserelin 3.6 mg to 10.8 mg were treatment-adherent for nearly two years, consistent with clinical recommendations. Goserelin 3.6 mg (n = 2,870) Goserelin 10.8 mg (n = 410) Switched from goserelin 3.6 mg to 10.8 mg (n = 340) Median duration of treatment (days) 264 429 776 Median time to switch (days) — — 218 Patients adherent* to dosing schedule 1,608 (56.4%) 306 (74.4%) — Status as of March 15, 2024 Discontinued goserelin 2,018 (70.8%) 261 (64.3%) 173 (50.9%) Death 88 (3.1%) 10 (2.5%) 3 (0.9%) *Defined as: ≤36 days between prescriptions (3.6 mg) or ≤108 days between prescriptions (10.8 mg).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.376
Teacher spread0.355 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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