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Record W2605759430 · doi:10.2217/fon-2017-0062

ESAS and FACT-B in eribulin-treated metastatic breast cancer patients: a multicenter, prospective and observational study

2017· article· en· W2605759430 on OpenAlexaboutno aff
Luca Moscetti, Lucia Mentuccia, Patrizia Vici, Silvia Quadrini, Isabella Sperduti, Laura Pizzuti, Agnese Fabbri, Angela Vaccaro, Marcello Maugeri‐Saccà, Maddalena Barba, Domenico Sergi, G. Zampa, Teresa Gamucci

Bibliographic record

VenueFuture Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEribulinMetastatic breast cancerObservational studyInternal medicineQuality of life (healthcare)OncologyBreast cancerProspective cohort studyCancerNursing

Abstract

fetched live from OpenAlex

AIM: Quality of life (QoL) is a critical issue for women with metastatic breast cancer (MBC). Eribulin mesylate represents a novel and active drug for pretreated MBC. Regretfully, few data exploring health-related (HR) QoL are available in unselected populations. PATIENTS & METHODS: A multicenter prospective observational study was conducted in 50 MBC patients treated with eribulin mesylate, in order to evaluate HRQoL and patients' well-being by using the Edmonton symptoms assessment scale (ESAS) and Functional Assessment of Cancer Therapy-Breast questionnaires. RESULTS: A significant ESAS score improvement was observed with a 10% median decrease. No differences were revealed for the QoL scores. CONCLUSION: The analysis of ESAS and Functional Assessment of Cancer Therapy scores showed that eribulin mesylate contributes to preserve QoL in MBC patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.409
Teacher spread0.356 · 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.

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

Citations6
Published2017
Admission routes1
Has abstractyes

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